CN106021372A - Data processing method and server - Google Patents
Data processing method and server Download PDFInfo
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- CN106021372A CN106021372A CN201610309194.2A CN201610309194A CN106021372A CN 106021372 A CN106021372 A CN 106021372A CN 201610309194 A CN201610309194 A CN 201610309194A CN 106021372 A CN106021372 A CN 106021372A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/34—Betting or bookmaking, e.g. Internet betting
Abstract
Embodiments of the invention disclose a data processing method and a server, which are used for improving the data accuracy. The method provided by the embodiment of the invention comprises the steps of obtaining associated parameters of a fluctuation event in an interactive application; estimating probability distribution of event parameter values of the fluctuation event according to a first preset rule, the associated parameters and a start parameter value of the fluctuation event at an interactive start moment; calculating a return coefficient according to the probability distribution; obtaining a selection request sent by user equipment and a selection parameter value corresponding to the selection request, wherein the selection request is used for indicating selection of a relationship between a stop parameter value of the fluctuation event at an interactive stop moment and the start parameter value; generating a return result according to the stop parameter value of the fluctuation event at the interactive stop moment, the selection parameter value and the return coefficient; and sending the return result to the user equipment according to the selection request at the interactive stop moment.
Description
Technical field
The present invention relates to Internet technical field, particularly to a kind of data processing method and server.
Background technology
Along with popularizing, in recent years of application program (English full name: Application, english abbreviation: APP)
Come, increasing user by use APP kill time, exploitation have more recreational APP by
Gradually become trend in the industry.
At present, having released associated interactive application, predominantly, within a period of time, user is permissible for its function
Drop-off to pick-up radio according to interface display selects a certain function to operate, and such as user is according to interface display
Drop-off to pick-up radio completes the first project in certain interactive application in a certain amount of time, and in the end of this period
Moment is it is known that oneself is the most correct to the operating result of first project.
But, in prior art, this drop-off to pick-up radio is generally preset value or fluctuates in a certain value range,
The set point of this preset value or undulating value is typically based on the historical data analysis of first project and sets, as
Data corresponding to first project in the most above-mentioned interactive application change in real time, then be difficult to provide more
Drop-off to pick-up radio accurately.
Summary of the invention
Embodiments provide a kind of data processing method and server, for improving the accurate of data
Degree.
Embodiment of the present invention first aspect provides a kind of data processing method, and the method includes:
Obtain the relevant parameter of surge events in interactive application；
According to the first preset rules, described relevant parameter and described surge events at mutual initial time
Initial parameters value estimates the probability distribution of the event argument value of described surge events；
Drop-off to pick-up radio is calculated according to described probability distribution；
Obtain the Selection parameter value selecting to ask and described selection request is corresponding that subscriber equipment sends, institute
State and select request to select described surge events at the closedown parameter value of mutual close moment with described for indicating
Relation between initial parameters value；
According to described surge events the closedown parameter value of mutual close moment, described Selection parameter value and
Described drop-off to pick-up radio generates and returns result；
In described mutual close moment, select request that described return result is sent to described use according to described
Family equipment.
Embodiment of the present invention second aspect provides a kind of server, and this server includes:
Processing unit is used for, and obtains the relevant parameter of surge events in interactive application；
According to the first preset rules, described relevant parameter and described surge events at mutual initial time
Initial parameters value estimates the probability distribution of the event argument value of described surge events；
Drop-off to pick-up radio is calculated according to described probability distribution；
Obtain the Selection parameter value selecting to ask and described selection request is corresponding that subscriber equipment sends, institute
State and select request to select described surge events at the closedown parameter value of mutual close moment with described for indicating
Relation between initial parameters value；
According to described surge events the closedown parameter value of mutual close moment, described Selection parameter value and
Described drop-off to pick-up radio generates and returns result；
Transmit-Receive Unit is used for, and in described mutual close moment, selects request to return knot by described according to described
Fruit is sent to described subscriber equipment.
As can be seen from the above technical solutions, the embodiment of the present invention has the advantage that acquisition interactive mode should
Relevant parameter by middle surge events；According to the first preset rules, described relevant parameter and described fluctuation
Event is divided at the probability of the event argument value that the initial parameters value of mutual initial time estimates described surge events
Cloth；Drop-off to pick-up radio is calculated according to described probability distribution；Obtain selection request and institute that subscriber equipment sends
Stating the Selection parameter value selecting request corresponding, described selection request is used for indicating the described surge events of selection to exist
The relation closed between parameter value and described initial parameters value of mutual close moment；According to described fluctuation thing
Part generates at the closedown parameter value of mutual close moment, described Selection parameter value and described drop-off to pick-up radio and returns
Return result；In described mutual close moment, select request that described return result is sent to institute according to described
State subscriber equipment.Owing to the present invention program divides by estimating the probability of the event argument value of described surge events
Cloth, and calculate drop-off to pick-up radio according to this probability distribution, improve the accuracy of this drop-off to pick-up radio, it is simple to use
Operation is analyzed at family.
Accompanying drawing explanation
Fig. 1 is a schematic flow sheet of data processing method provided by the present invention；
Fig. 2 is an interface schematic diagram of application scenarios provided by the present invention；
Fig. 3 is another interface schematic diagram of application scenarios provided by the present invention；
Fig. 4 is another interface schematic diagram of application scenarios provided by the present invention；
Fig. 5 is another interface schematic diagram of application scenarios provided by the present invention；
Fig. 6 is another interface schematic diagram of application scenarios provided by the present invention；
Fig. 7 is another interface schematic diagram of application scenarios provided by the present invention；
Fig. 8 is a service logic schematic diagram of application scenarios provided by the present invention；
Fig. 9 is the high-level schematic functional block diagram of application scenarios provided by the present invention；
Figure 10 is another service logic schematic diagram of application scenarios provided by the present invention；
Figure 11 is a structural representation of server provided by the present invention；
Figure 12 is another structural representation of server provided by the present invention.
Detailed description of the invention
Embodiments provide a kind of data processing method and server, for improving the accurate of data
Degree.
In order to make those skilled in the art be more fully understood that the present invention program, real below in conjunction with the present invention
Execute the accompanying drawing in example, the technical scheme in the embodiment of the present invention be clearly and completely described, it is clear that
Described embodiment is only the embodiment of a present invention part rather than whole embodiments.Based on
Embodiment in the present invention, those of ordinary skill in the art are obtained under not making creative work premise
The every other embodiment obtained, all should belong to the scope of protection of the invention.
Term " first " in description and claims of this specification and above-mentioned accompanying drawing, " second " etc.
(if present) is for distinguishing similar object, without being used for describing specific order or the most secondary
Sequence.Should be appreciated that the data of so use can be exchanged in the appropriate case, in order to enforcement described herein
Example can be implemented with the order in addition to the content except here illustrating or describe.Additionally, term " includes "
" have " and their any deformation, it is intended that cover non-exclusive comprising, such as, comprise
The process of series of steps or unit, method, system, product or equipment are not necessarily limited to clearly to list
Those steps or unit, but can include the most clearly listing or for these processes, method,
Product or intrinsic other step of equipment or unit.
Referring to Fig. 1, in the embodiment of the present invention, an embodiment of data processing method includes:
101, the relevant parameter of surge events in interactive application is obtained.
It should be noted that be provided with interactive application on subscriber equipment, after this interactive application is run,
Server obtains the relevant parameter of surge events in this interactive application.Wherein, interactive application is mutual
Platform provides, and carries out the client of daily exchange or information processing for the user between different terminals, alternately
Platform refers to that one will be contacted between men by social networks and/or common interest (or common interests)
The network architecture got up, the client (i.e. interactive application) that user can be provided by this interaction platform
Carry out daily exchange and process some routine matters.Each user can have for for this interaction platform
The network identity of other user institute identifications upper, the i.e. account number of interactive application, or referred to as interaction platform
Account number.
On interaction platform, can be the most true by the interactive application on own terminal between different user
The mode recognized is to set up social networks, such as, and mutual plusing good friend or mutually concern etc..When two users build
After having found social networks, they become social networking contacts each other.One group of user can be by voluntarily
The mode selected, to form the social networks having each other, thus forms a social group.Should
Each member in group is the social networking contacts of every other member in this group.
User or tissue can set up a public social networks mark by interactive application on interaction platform
Know, and allow the public (such as, any user on interaction platform) to identify with this public social networks
Exchanging on interaction platform, this exchange can be based on the mode of a kind of unidirectional confirmation, and without user
Between be confirmed each other.Such as, user can select to subscribe to public community network mark by interactive application
(such as, " following " public community network identity) message or release news, this kind of unidirectional by such as subscribing to
Validation testing, becomes the social networking contacts of public community network mark.Public social networks identity
Owner can also will have subscribed its message or other users of releasing news contact as its social networks
People.
Each user and each public community network mark on interaction platform are respectively provided with social networking contacts
List, uses the shapes such as instant communication message for it with the user in its list or public community network mark
Formula exchanges.Such as, the interface that the user in a social group can be provided by interaction platform
It is in communication with each other, and can also be in communication with each other by the interface that interaction platform provides between user.
Optionally, in this interactive application, surge events can be financial volatility event, such as banking index
Fluctuation (such as the reaction financial market price such as security, the exchange rate, commodity price or the index of trend), this pass
Connection parameter include following at least one: real time financial index, financial transaction specified number are according to, historical time cycle
Banking index fluctuation data, banking index ups and downs life cycle function.
Such as, the banking index fluctuation data in historical time cycle may refer to determine window index average line,
Mobile hurst index, three minutes index undulating values etc..Financial transaction specified number evidence can be to buy in/sell data,
Banking index ups and downs life cycle function then reflects the ups and downs trend of banking index.
102, according to the first preset rules, described relevant parameter and described surge events mutual initial time
The initial parameters value carved estimates the probability distribution of the event argument value of described surge events.
Optionally, in described acquisition interactive application, the relevant parameter of surge events specifically includes: first
Moment obtains the relevant parameter of surge events in interactive application；Such as, at the interface of this interactive application
Upper display countdown be sometime time obtain the relevant parameter of surge events in this interactive application.Certainly,
It can also be real-time or periodic this relevant parameter of acquisition.
Optionally, described handing over according to the first preset rules, described relevant parameter and described surge events
The probability distribution of the event argument value that the initial parameters value of initial time estimates described surge events is specifically wrapped mutually
Include:
According to the first preset rules and described relevant parameter calculate described surge events the first probability and/or
Second probability, described first probability is that the event argument value of surge events described in the second moment is higher than described ripple
Dynamic event is at the probability of the initial parameters value of mutual initial time, and described second probability is described in the second moment
The event argument value of surge events is not higher than the described surge events initial parameters value at mutual initial time
Probability, described second moment is later than described first moment.
Optionally, when above-mentioned surge events is financial volatility event, described according to the first preset rules with
And described relevant parameter calculates the first probability and/or second probability of described surge events, specifically include:
The state vector of banking index is generated according to described relevant parameter；
The state vector of described banking index is multiplied with transition probability matrix, obtains banking index fluctuation
Probability distribution；
The probability distribution fluctuated according to described banking index calculates the described first general of described financial volatility event
Rate and/or the second probability.
Such as, by the Bayesian analysis of the historical data in relevant parameter and logistic regression analysis,
(such as real time financial index and this financial volatility event are when mutual initiateing for available different index deviation value
The difference of the initial parameters value carved), generate the state vector of banking index according to this deviation value, by each state
Vector is multiplied with transition probability matrix, obtains the probability distribution of banking index fluctuation.
103, drop-off to pick-up radio is calculated according to described probability distribution.
Optionally, described according to described probability distribution calculating drop-off to pick-up radio, specifically include:
Calculate, according to the second preset rules, the first drop-off to pick-up radio that described first probability is corresponding, and/or calculate institute
State the second drop-off to pick-up radio that the second probability is corresponding.
104, the Selection parameter selecting to ask and described selection request is corresponding that subscriber equipment sends is obtained
Value, described selection is asked for indicating the closedown parameter value selecting described surge events in mutual close moment
And the relation between described initial parameters value.
Optionally, described selection is asked for indicating the described surge events of selection in the pass of mutual close moment
Close parameter value and in the initial parameters value of mutual initial time and/or select described fluctuation higher than described surge events
Event is not higher than described surge events rising at mutual initial time at the parameter value of closing of mutual close moment
Beginning parameter value, described mutual close moment is later than described second moment.
Integrating step 104, optionally, in step 103, described according to the second preset rules calculating
The first drop-off to pick-up radio that first probability is corresponding, and/or calculate the second drop-off to pick-up radio that described second probability is corresponding,
Specifically include:
Calculate the ratio result of the summation returning result and the summation of Selection parameter value；
Calculate the ratio of described ratio result and described first probability, obtain described first drop-off to pick-up radio；With/
Or, calculate the ratio of described ratio result and described second probability, obtain described second drop-off to pick-up radio.
Such as, the summation of calculated return result is 600, and the summation of Selection parameter value is 1000,
The ratio result then calculated is 0.6, if the first probability calculated in step 102 is 0.4, and the second probability
Being 0.6, the most calculated first drop-off to pick-up radio is 0.6/0.4=1.5, and the second drop-off to pick-up radio is 0.6/0.6=1.
105, according to described surge events in the closedown parameter value of mutual close moment, described Selection parameter value
And described drop-off to pick-up radio generates and returns result.
Optionally, described according to described surge events in the closedown parameter value of mutual close moment, described choosing
Select parameter value and described drop-off to pick-up radio generate and returns result, specifically include:
When described surge events is higher than described surge events alternately at the closedown parameter value of mutual close moment
During the initial parameters value of initial time, generate the according to described Selection parameter value and described first drop-off to pick-up radio
One returns result；
When described surge events is not higher than described surge events in friendship at the closedown parameter value of mutual close moment
During the initial parameters value of mutual initial time, generate according to described Selection parameter value and described second drop-off to pick-up radio
Second returns result.
106, in described mutual close moment, select request that described return result is sent to institute according to described
State subscriber equipment.
Optionally, described according to described select request described return result is sent to described subscriber equipment,
Specifically include:
Select request for indicating the closedown parameter selecting described surge events in mutual close moment when described
Value when the initial parameters value of mutual initial time, returns result by described first higher than described surge events
It is sent to described subscriber equipment；
Select request for indicating the closedown parameter selecting described surge events in mutual close moment when described
Value not higher than described surge events, when the initial parameters value of mutual initial time, returns knot by described second
Fruit is sent to described subscriber equipment.
Integrating step 102, described transition probability matrix can be included trend term and fluctuation item, can be become by control
The weighted value of gesture item and fluctuation item reaches the first drop-off to pick-up radio and the second drop-off to pick-up radio in conditioning step 104
Value.Integrating step 104, optionally, when summation and the summation of described Selection parameter value of described return result
Ratio result below or above preset value time, revise described trend term and/or the weighted value of described fluctuation item.
Assume that matrix the most in the same time is M (t), matrix element AijT () is state under current moment t
The probability of i to t+1 moment state j.This matrix M (t) is represented by as follows:
As a example by financial volatility event, it is contemplated that the ups and downs trend of banking index and historical volatility situation, right
Transition probability is modified.As judged the ups and downs trend in following a period of time according to Husrt index, increase
Trend term σ (t) of transition probability；Life cycle function according to index undulating value and continuous ups and downs, increases
Fluctuation item μ (t) of transition probability.I.e. A 'ij(t)=Aij(t)*σ(t)+μ(t).With this, can be to upper
State matrix and carry out the correction of banking index trend and fluctuation.Correcting mode is when the summation of described return result
When being below or above preset value with the ratio result of the summation of described Selection parameter value, continuous iteration goes out A 'ij
(t)=AijThe weight parameter of (t) * σ (t)+μ (t).
In the embodiment of the present invention, server obtains the relevant parameter of surge events in interactive application；According to
First preset rules, described relevant parameter and described surge events are in the initial parameters of mutual initial time
Value estimates the probability distribution of the event argument value of described surge events；Calculate according to described probability distribution and return
Coefficient；Obtain the Selection parameter value selecting to ask and described selection request is corresponding that subscriber equipment sends,
Described request is selected to select described surge events in the closedown parameter value of mutual close moment and institute for indicating
State the relation between initial parameters value；According to described surge events mutual close moment closedown parameter value,
Described Selection parameter value and described drop-off to pick-up radio generate and return result；At described mutual close moment, root
Select request that described return result is sent to described subscriber equipment according to described.Owing to the present invention program passes through
Estimate the probability distribution of the event argument value of described surge events, and calculate return system according to this probability distribution
Number, improves the accuracy of this drop-off to pick-up radio, it is simple to customer analysis operates.
The data processing method provided the present invention with a concrete application scenarios below is described in detail.
Being as a example by a guessing game APP by interactive application, the surge events in this guessing game is real
Time Index of Shanghai Stock Exchange, first, the trade date of server Auto-matching Shang Zheng exchange and exchange hour,
Ensure 1 year 365 days to keep Tong Bu opening quotation with Shang Zheng exchange, synchronize closing quotation.The playing method of this APP also may be used
Guess theme, the wound of guess theme is automatically created according to default 3 minutes phases, a phase day of trade 80
Build and include time of starting selling, opening quotation guess index, announce the winners in a lottery time and announce the winners in a lottery index and opening quotation guess
The height result of index judges.Wherein, the opening quotation guess index of every phase index guess starts pin according to current
Sell the upper card SH00001 index in exchange's correspondence moment time Auto-matching Shang Zheng.In real time data processing
Aspect, pulls the upper card SH00001 index that Duo Jia finance data supplier is provided automatically, and to multiple
The index of data source is tested, and on the one hand improves the sync rates with upper card Exchange index, on the other hand
Avoid or slow down finance data mistake that data transmission exception caused, omission, disconnection, delay, time-out
Deng series of problems.
User opens the interface of this guessing game APP, and game display interface is as in figure 2 it is shown, scheming
In 2, user is it can be seen that upper card SH00001 index as shown in Figure 3 shows the game user in real time
Interface, in fig. 2, whether can the guess Index of Shanghai Stock Exchange of finish time current period of user can exceed the current period
Guess Pan Kou.Wherein, Fig. 4 is the theme project that user can guess, and Fig. 5 is that user can bet
Region, this region shows real-time odds.Server is by demonstrate,proving SH00001 index and this in real-time statistics
The phase guess difference of Pan Kou, current market are bought in, are sold trading volume, generate the state vector when phase index,
Be multiplied by probability transfer matrix, available for index in the probability distribution of following set period.Server is real
Time extrapolate the index corresponding to current time and exceed or less than the probability of current Pan Kou, then according to returning
Prize rate calculates the odds (i.e. drop-off to pick-up radio) of two options.Wherein, option odds=paying out rate/choosing
Item probability, odds minima is 1.01, and maximum is 20, and takes the arithmetic point second of odds
Whole operation.Odds higher limit can be configured according to traffic-operating period.The interface real-time exhibition of user with
The odds information of data syn-chronization on server.Fig. 6 is for starting to bet the moment, and user is in stake finish time
The stake of designated amounts can be carried out in stake region.It was such as a phase with 3 minutes, (hands over during beginning
Initial time mutually) show that opening quotation guess index is 1300 points (initial parameters values), user is in 3 minutes
Select more than 1300 or place an order, if (closed the most alternately in this finish time phase less than 1300
Moment) the upper card SH00001 index that obtains in real time is 1301 points (closedown parameter values), can win down
Single award (award=order value × place an order odds) for odds corresponding to more than 1300.If this phase ties
The upper card SH00001 index that the bundle moment (i.e. mutual close moment) obtains in real time is that 1299 points (close ginseng
Numerical value), the award placed an order as odds corresponding to less than 1300 can be won.Fig. 7 is that user is winning
Place an order as less than the scene during award of corresponding odds.
The technic relization scheme that the present invention relates to is first responsible for the establishment of product playing method, customer transaction flow process, reality
Time the function such as data monitoring, wind control verification, as shown in Figure 8, in Fig. 8, server is first for its social function theory
First create event (such as project, classification, event, playing method, selling time), by triggering this event,
This event is safeguarded by backstage, such as, utilize the funcall of off-line data probabilistic model in server to be somebody's turn to do
These data are carried out statistical analysis by the data of event.User opens game APP, mutual initial time dish
Mouth is opened, and user carries out lower single operation, server background monitoring data, calculates total Return Ratio, generates form,
This form is monitored by backstage in real time, real-time monitoring panel mouth change (such as become compensation, change dish, closing disk,
Opening quotation), mutual close moment, Pan Kou closes, stops operation.
The service logic of wind control control design case is as shown in Figure 9.Fig. 9 apoplexy control control part includes limit wind
Control module, profit and loss wind control module, odds wind control module, data wind control module.Limit wind control module is used for
Stake limit and the control of single time limit volume；Profit and loss wind control module is for single phase profit and loss, the control of odd-numbered day profit and loss
System；Odds wind control module pays for model, the control of data change compensation for playing method of guessing, change；Data wind control mould
Block is for the process to data.Wherein, technical scheme relates to processed offline part and online treatment part,
Processed offline part is responsible for analyzing banking index and generating change paying for model, and online treatment part is responsible for according to reality
Time data and described change pay for model and carry out probability calculation, become according to the odds specification real-time data of output and to pay for
Odds.
Such as, odds wind control module receives the real-time of the financial trading market from the acquisition of data wind control module
Data (such as level 1 exponent data of Index of Shanghai Stock Exchange), pay for model according to the change of real time data and generation real-time
Calculating and judge the probability of happening of guess playing method, as above card stock index is at following 3 minutes interior ups and downs probability,
Real-time odds is generated with this.
In conjunction with the service logic shown in Figure 10, for online treatment part, the odds wind control module in Fig. 9
It is configured with event information processor, by the real time data (reality of such as Index of Shanghai Stock Exchange in financial market data
Time data) and event information (such as financial market information), the parameter input of form format becomes pays for model.
Parameter includes that real-time index is counted, index fluctuates data (as specified the index average line of time window, movement
Hurst index, three minutes index undulating values etc.), real-time deal specified number is according to (buy in, sell data) and refer to
Number ups and downs trend (ups and downs life cycle function) etc..
The logic of online treatment part i.e. inputs above-mentioned parameter and pays for model to change, becomes and pays for model according to input
Above-mentioned parameter (can be such as that real-time index is bought in the current period guess difference of Pan Kou, current market, sold
Go out trading volume etc.), generate the state vector when phase index, be multiplied by probability transfer matrix, available for referring to
Number is at the distribution probability of following set period.Extrapolate in real time corresponding to current time according to becoming compensation model
Index exceedes or is less than the probability of current Pan Kou, then calculates two options according to paying out rate and (exceedes
Or be less than) odds, and by the data syn-chronization of odds give access application side.Wherein, option odds=return
Prize rate/option probability, odds minima is 1.01, and maximum is 20, and the arithmetic point second to odds
Position carries out floor operation.Odds higher limit can be configured according to traffic-operating period.Meanwhile, according to placing an order
The option odds of limit and correspondence generates return result and is synchronized to access application side.
Processed offline part is then used for the state vector when phase index and the policing rule system of probability transfer matrix
Fixed.More than as a example by card guess, by returning divide for the Bayesian analysis of index fluctuation data and logistic
Analysis, available different index deviation value (when the difference of phase index with guess index) and real-time deal amount institute
The distribution probability of corresponding subsequent period index, is filled to nonhomogeneous Ma Er by the distribution probability of various situations
The transfer matrix of section's husband's chain.If Index of Shanghai Stock Exchange deviation value one state space of composition 1,2,3 ... n}, state
Travel through in thus index deviation value situation, it is assumed that matrix the most in the same time is M (t), matrix element Aij
T () is the probability of state i to t+1 moment state j under current moment t.This matrix M (t) can table
It is shown as follows:
Simultaneously, it is contemplated that the ups and downs trend of index and historical volatility situation, transition probability is modified.
As judged the ups and downs trend in following a period of time according to Husrt index, increase the trend term of transition probability
σ(t)；Life cycle function according to index undulating value and continuous ups and downs, increases the fluctuation item of transition probability
μ(t).I.e. A 'ij(t)=Aij(t)*σ(t)+μ(t).With this, above-mentioned matrix can be carried out upper card and refer to
Number trend and the correction of fluctuation.
Above data processing method provided by the present invention is illustrated, below by from the angle of device
The structure of server is illustrated, refers to Fig. 2, server 200 provided by the present invention, including:
Processing unit 202, for obtaining the relevant parameter of surge events in interactive application；
According to the first preset rules, described relevant parameter and described surge events at mutual initial time
Initial parameters value estimates the probability distribution of the event argument value of described surge events；
Drop-off to pick-up radio is calculated according to described probability distribution；
Obtain the Selection parameter value selecting to ask and described selection request is corresponding that subscriber equipment sends, institute
State and select request to select described surge events at the closedown parameter value of mutual close moment with described for indicating
Relation between initial parameters value；
According to described surge events the closedown parameter value of mutual close moment, described Selection parameter value and
Described drop-off to pick-up radio generates and returns result；
Transmit-Receive Unit 204, in described mutual close moment, selecting request by described return according to described
Result is sent to described subscriber equipment.
In the embodiment of the present invention, processing unit 202 obtains the relevant parameter of surge events in interactive application；
According to the first preset rules, described relevant parameter and described surge events initiateing at mutual initial time
Parameter value estimates the probability distribution of the event argument value of described surge events；Calculate according to described probability distribution
Drop-off to pick-up radio；Obtain the Selection parameter selecting to ask and described selection request is corresponding that subscriber equipment sends
Value, described selection is asked for indicating the closedown parameter value selecting described surge events in mutual close moment
And the relation between described initial parameters value；Join in the closedown of mutual close moment according to described surge events
Numerical value, described Selection parameter value and described drop-off to pick-up radio generate and return result；Transmit-Receive Unit 204 is in institute
State mutual close moment, select request that described return result is sent to described subscriber equipment according to described.
Owing to the present invention program is by estimating the probability distribution of the event argument value of described surge events, and according to this
Probability distribution calculates drop-off to pick-up radio, improves the accuracy of this drop-off to pick-up radio, it is simple to customer analysis operates.
Optionally, described processing unit 202 is for obtaining the relevant parameter of surge events in interactive application
Particularly as follows: described processing unit 202 is for obtaining the pass of surge events in interactive application in the first moment
Connection parameter；
Described processing unit 202 is for according to the first preset rules, described relevant parameter and described fluctuation
Event is divided at the probability of the event argument value that the initial parameters value of mutual initial time estimates described surge events
Cloth particularly as follows:
Described processing unit 202 is for calculating described ripple according to the first preset rules and described relevant parameter
First probability of dynamic event and/or the second probability, described first probability is surge events described in the second moment
Event argument value higher than described surge events at the probability of the initial parameters value of mutual initial time, described the
Two probability are that the event argument value of surge events described in the second moment is not higher than described surge events at mutual
Begin the probability of initial parameters value in moment, and described second moment is later than described first moment.
Optionally, described processing unit 202 is for calculating drop-off to pick-up radio according to described probability distribution, specifically
For:
Described processing unit 202 for calculate that described first probability is corresponding according to the second preset rules first
Drop-off to pick-up radio, and/or calculate the second drop-off to pick-up radio that described second probability is corresponding.
Optionally, described processing unit 202 is for calculating described first probability pair according to the second preset rules
The first drop-off to pick-up radio answered, and/or calculate the second drop-off to pick-up radio that described second probability is corresponding, particularly as follows:
Described processing unit 202 is used for, and calculates the summation of described return result and described Selection parameter value
The ratio result of summation；
Calculate the ratio of described ratio result and described first probability, obtain described first drop-off to pick-up radio；With/
Or, calculate the ratio of described ratio result and described second probability, obtain described second drop-off to pick-up radio.
Optionally, described selection is asked for indicating the described surge events of selection in the pass of mutual close moment
Close parameter value and in the initial parameters value of mutual initial time and/or select described fluctuation higher than described surge events
Event is not higher than described surge events rising at mutual initial time at the parameter value of closing of mutual close moment
Beginning parameter value, described mutual close moment is later than described second moment.
Optionally, described processing unit 202 is used for according to described surge events in the pass of mutual close moment
Close parameter value, described Selection parameter value and described drop-off to pick-up radio and generate return result, particularly as follows:
Described processing unit 202 is used for, when described surge events is at the closedown parameter value of mutual close moment
Higher than described surge events when the initial parameters value of mutual initial time, according to described Selection parameter value and
Described first drop-off to pick-up radio generates the first return result；
When described surge events is not higher than described surge events in friendship at the closedown parameter value of mutual close moment
During the initial parameters value of mutual initial time, generate according to described Selection parameter value and described second drop-off to pick-up radio
Second returns result.
Optionally, described processing unit 202 is for selecting request described return result to be sent according to described
To described subscriber equipment, particularly as follows:
Described processing unit 202 is used for, when described selection request is used for indicating the described surge events of selection to exist
The parameter value of closing of mutual close moment is higher than the described surge events initial parameters value at mutual initial time
Time, return result by described first and be sent to described subscriber equipment；
Select request for indicating the closedown parameter selecting described surge events in mutual close moment when described
Value not higher than described surge events, when the initial parameters value of mutual initial time, returns knot by described second
Fruit is sent to described subscriber equipment.
Optionally, described surge events is financial volatility event, and described relevant parameter includes following at least one
Kind: real time financial index, financial transaction specified number according to, historical time cycle banking index fluctuation data,
Banking index ups and downs life cycle function.
Optionally, described processing unit 202 is based on according to the first preset rules and described relevant parameter
Calculate the first probability and/or second probability of described surge events, particularly as follows:
Described processing unit 202 is used for, and generates the state vector of banking index according to described relevant parameter；
The state vector of described banking index is multiplied with transition probability matrix, obtains banking index fluctuation
Probability distribution；
The probability distribution fluctuated according to described banking index calculates the described first general of described financial volatility event
Rate and/or the second probability.
Optionally, described transition probability matrix includes trend term and fluctuation item, and described processing unit 202 is also
For:
When the summation of described return result is below or above with the ratio result of the summation of described Selection parameter value
During preset value, revise described trend term and/or the weighted value of described fluctuation item.
Present invention also offers the organizational structure schematic diagram of a kind of server 300 as it is shown on figure 3, include place
Reason device 302, memorizer 304, it is also possible to include bus 308, transceiver 306.
Wherein, processor 302, memorizer 304 and transceiver 306 can be realized each other by bus 308
Between communication connection, it is also possible to realize communication by other means such as being wirelessly transferred.
Memorizer 304 can include that volatile memory is (English: volatile memory), the most at random
Access memorizer (English: random-access memory, abbreviation: RAM)；Memorizer 304 also may be used
To include nonvolatile memory (English: non-volatile memory), such as read only memory (English
Literary composition: read-only memory, abbreviation: ROM), flash memory (it is English: flash memory),
Hard disk (English: hard disk drive, abbreviation: HDD) or solid state hard disc (English: solid state drive,
Abbreviation: SSD)；Memorizer 304 can also include the combination of the memorizer of mentioned kind.Passing through software
When realizing the technical scheme that the application provides, for realizing the data processing method that the application Fig. 1 provides
The program code that middle server side performs is saved in memorizer 304, and is performed by processor 302.
Server 300 is by transceiver 306 and subscriber equipment communication.
Processor 302 can be CPU.
This processor 302 is used for, and obtains the relevant parameter of surge events in interactive application；
According to the first preset rules, described relevant parameter and described surge events at mutual initial time
Initial parameters value estimates the probability distribution of the event argument value of described surge events；
Drop-off to pick-up radio is calculated according to described probability distribution；
Obtain the Selection parameter value selecting to ask and described selection request is corresponding that subscriber equipment sends, institute
State and select request to select described surge events at the closedown parameter value of mutual close moment with described for indicating
Relation between initial parameters value；
According to described surge events the closedown parameter value of mutual close moment, described Selection parameter value and
Described drop-off to pick-up radio generates and returns result；
This transceiver 306 is used for, and in described mutual close moment, selects request to return described according to described
Return result and be sent to described subscriber equipment.
In the embodiment of the present invention, processor 302 obtains the relevant parameter of surge events in interactive application；
According to the first preset rules, described relevant parameter and described surge events initiateing at mutual initial time
Parameter value estimates the probability distribution of the event argument value of described surge events；Calculate according to described probability distribution
Drop-off to pick-up radio；Obtain the Selection parameter selecting to ask and described selection request is corresponding that subscriber equipment sends
Value, described selection is asked for indicating the closedown parameter value selecting described surge events in mutual close moment
And the relation between described initial parameters value；Join in the closedown of mutual close moment according to described surge events
Numerical value, described Selection parameter value and described drop-off to pick-up radio generate and return result；Transceiver 304 is described
Mutual close moment, selects request that described return result is sent to described subscriber equipment according to described.By
In the present invention program by estimating the probability distribution of the event argument value of described surge events and general according to this
Rate distribution calculates drop-off to pick-up radio, improves the accuracy of this drop-off to pick-up radio, it is simple to customer analysis operates.
Optionally, described processor 302 is for obtaining the relevant parameter tool of surge events in interactive application
Body is: described processor 302 for obtaining the association ginseng of surge events in interactive application in the first moment
Number；
Described processor 302 is for according to the first preset rules, described relevant parameter and described fluctuation thing
Part estimates the probability distribution of the event argument value of described surge events in the initial parameters value of mutual initial time
Particularly as follows:
Described processor 302 is for calculating described fluctuation according to the first preset rules and described relevant parameter
First probability of event and/or the second probability, described first probability is the thing of surge events described in the second moment
Part parameter value higher than described surge events at the probability of the initial parameters value of mutual initial time, described second
Probability is that the event argument value of surge events described in the second moment is not higher than described surge events mutual initial
The probability of the initial parameters value in moment, described second moment is later than described first moment.
Optionally, described processor 302 is used for calculating drop-off to pick-up radio according to described probability distribution, particularly as follows:
Described processor 302 is for calculating corresponding first the returning of described first probability according to the second preset rules
Return coefficient, and/or calculate the second drop-off to pick-up radio that described second probability is corresponding.
Optionally, described processor 302 is corresponding for calculating described first probability according to the second preset rules
The first drop-off to pick-up radio, and/or calculate the second drop-off to pick-up radio that described second probability is corresponding, particularly as follows:
Described processor 302 is used for, and calculates the summation of described return result and the total of described Selection parameter value
The ratio result of sum；
Calculate the ratio of described ratio result and described first probability, obtain described first drop-off to pick-up radio；With/
Or, calculate the ratio of described ratio result and described second probability, obtain described second drop-off to pick-up radio.
Optionally, described selection is asked for indicating the described surge events of selection in the pass of mutual close moment
Close parameter value and in the initial parameters value of mutual initial time and/or select described fluctuation higher than described surge events
Event is not higher than described surge events rising at mutual initial time at the parameter value of closing of mutual close moment
Beginning parameter value, described mutual close moment is later than described second moment.
Optionally, described processor 302 for according to described surge events in the closedown of mutual close moment
Parameter value, described Selection parameter value and described drop-off to pick-up radio generate and return result, particularly as follows:
Described processor 302 is used for, when described surge events is high at the closedown parameter value of mutual close moment
When the described surge events initial parameters value at mutual initial time, according to described Selection parameter value and institute
State the first drop-off to pick-up radio and generate the first return result；
When described surge events is not higher than described surge events in friendship at the closedown parameter value of mutual close moment
During the initial parameters value of mutual initial time, generate according to described Selection parameter value and described second drop-off to pick-up radio
Second returns result.
Optionally, described processor 302 is for selecting request described return result to be sent to according to described
Described subscriber equipment, particularly as follows:
Described processor 302 is used for, when described selection request is used for indicating the described surge events of selection handing over
The parameter value of closing of close moment is higher than the described surge events initial parameters value at mutual initial time mutually
Time, return result by described first and be sent to described subscriber equipment；
Select request for indicating the closedown parameter selecting described surge events in mutual close moment when described
Value not higher than described surge events, when the initial parameters value of mutual initial time, returns knot by described second
Fruit is sent to described subscriber equipment.
Optionally, described surge events is financial volatility event, and described relevant parameter includes following at least one
Kind: real time financial index, financial transaction specified number according to, historical time cycle banking index fluctuation data,
Banking index ups and downs life cycle function.
Optionally, described processor 302 is for calculating according to the first preset rules and described relevant parameter
First probability of described surge events and/or the second probability, particularly as follows:
Described processor 302 is used for, and generates the state vector of banking index according to described relevant parameter；
The state vector of described banking index is multiplied with transition probability matrix, obtains banking index fluctuation
Probability distribution；
The probability distribution fluctuated according to described banking index calculates the described first general of described financial volatility event
Rate and/or the second probability.
Optionally, described transition probability matrix includes trend term and fluctuation item, and described processor 302 is also used
In:
When the summation of described return result is below or above with the ratio result of the summation of described Selection parameter value
During preset value, revise described trend term and/or the weighted value of described fluctuation item.
Those skilled in the art is it can be understood that arrive, and for convenience and simplicity of description, above-mentioned retouches
The specific works process of the system stated, device and unit, is referred to the correspondence in preceding method embodiment
Process, does not repeats them here.
In several embodiments provided herein, it should be understood that disclosed system, device and
Method, can realize by another way.Such as, device embodiment described above is only shown
Meaning property, such as, the division of described unit, be only a kind of logic function and divide, actual can when realizing
There to be other dividing mode, the most multiple unit or assembly can in conjunction with or be desirably integrated into another
System, or some features can ignore, or do not perform.Another point, shown or discussed each other
Coupling direct-coupling or communication connection can be the INDIRECT COUPLING by some interfaces, device or unit
Or communication connection, can be electrical, machinery or other form.
The described unit illustrated as separating component can be or may not be physically separate, makees
The parts shown for unit can be or may not be physical location, i.e. may be located at a place,
Or can also be distributed on multiple NE.Can select according to the actual needs part therein or
The whole unit of person realizes the purpose of the present embodiment scheme.
It addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit,
Can also be that unit is individually physically present, it is also possible to two or more unit are integrated in a list
In unit.Above-mentioned integrated unit both can realize to use the form of hardware, it would however also be possible to employ software function list
The form of unit realizes.
If described integrated unit realizes and as independent production marketing using the form of SFU software functional unit
Or when using, can be stored in a computer read/write memory medium.Based on such understanding, this
The part that the most in other words prior art contributed of technical scheme of invention or this technical scheme
Completely or partially can embody with the form of software product, this computer software product is stored in one
In storage medium, including some instructions with so that computer equipment (can be personal computer,
Server, or the network equipment etc.) perform completely or partially walking of method described in each embodiment of the present invention
Suddenly.And aforesaid storage medium includes: USB flash disk, portable hard drive, read only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD
Etc. the various media that can store program code.
The above, above example only in order to technical scheme to be described, is not intended to limit；
Although being described in detail the present invention with reference to previous embodiment, those of ordinary skill in the art should
Work as understanding: the technical scheme described in foregoing embodiments still can be modified by it, or to it
Middle part technical characteristic carries out equivalent；And these amendments or replacement, do not make appropriate technical solution
Essence depart from various embodiments of the present invention technical scheme spirit and scope.
Claims (20)
1. a data processing method, it is characterised in that including:
Obtain the relevant parameter of surge events in interactive application；
According to the first preset rules, described relevant parameter and described surge events at mutual initial time
Initial parameters value estimates the probability distribution of the event argument value of described surge events；
Drop-off to pick-up radio is calculated according to described probability distribution；
Obtain the Selection parameter value selecting to ask and described selection request is corresponding that subscriber equipment sends, institute
State and select request to select described surge events at the closedown parameter value of mutual close moment with described for indicating
Relation between initial parameters value；
According to described surge events the closedown parameter value of mutual close moment, described Selection parameter value and
Described drop-off to pick-up radio generates and returns result；
In described mutual close moment, select request that described return result is sent to described use according to described
Family equipment.
Method the most according to claim 1, it is characterised in that
In described acquisition interactive application, the relevant parameter of surge events specifically includes: obtain in the first moment
The relevant parameter of surge events in interactive application；
Described according to the first preset rules, described relevant parameter and described surge events mutual initial time
The probability distribution of the event argument value that the initial parameters value carved estimates described surge events specifically includes:
According to the first preset rules and described relevant parameter calculate described surge events the first probability and/or
Second probability, described first probability is that the event argument value of surge events described in the second moment is higher than described ripple
Dynamic event is at the probability of the initial parameters value of mutual initial time, and described second probability is described in the second moment
The event argument value of surge events is not higher than the described surge events initial parameters value at mutual initial time
Probability, described second moment is later than described first moment.
Method the most according to claim 2, it is characterised in that described according to described probability distribution meter
Calculate drop-off to pick-up radio, specifically include:
Calculate, according to the second preset rules, the first drop-off to pick-up radio that described first probability is corresponding, and/or calculate institute
State the second drop-off to pick-up radio that the second probability is corresponding.
Method the most according to claim 3, it is characterised in that described according to the second preset rules meter
Calculate the first drop-off to pick-up radio that described first probability is corresponding, and/or calculate corresponding second the returning of described second probability
Return coefficient, specifically include:
Calculate the ratio result of the summation of described return result and the summation of described Selection parameter value；
Calculate the ratio of described ratio result and described first probability, obtain described first drop-off to pick-up radio；With/
Or, calculate the ratio of described ratio result and described second probability, obtain described second drop-off to pick-up radio.
5. according to the method described in any one of Claims 1-4, it is characterised in that described selection is asked
Select described surge events at the closedown parameter value of mutual close moment higher than described surge events for indicating
In the initial parameters value of mutual initial time and/or select described surge events in the closedown of mutual close moment
Parameter value is not higher than the described surge events initial parameters value at mutual initial time, during described mutual closedown
It is later than described second moment quarter.
6. according to the method described in claim 3 or 4, it is characterised in that described according to described fluctuation thing
Part generates at the closedown parameter value of mutual close moment, described Selection parameter value and described drop-off to pick-up radio and returns
Return result, specifically include:
When described surge events is higher than described surge events alternately at the closedown parameter value of mutual close moment
During the initial parameters value of initial time, generate the according to described Selection parameter value and described first drop-off to pick-up radio
One returns result；
When described surge events is not higher than described surge events in friendship at the closedown parameter value of mutual close moment
During the initial parameters value of mutual initial time, generate according to described Selection parameter value and described second drop-off to pick-up radio
Second returns result.
Method the most according to claim 6, it is characterised in that described request according to described selection will
Described return result is sent to described subscriber equipment, specifically includes:
Select request for indicating the closedown parameter selecting described surge events in mutual close moment when described
Value when the initial parameters value of mutual initial time, returns result by described first higher than described surge events
It is sent to described subscriber equipment；
Select request for indicating the closedown parameter selecting described surge events in mutual close moment when described
Value not higher than described surge events, when the initial parameters value of mutual initial time, returns knot by described second
Fruit is sent to described subscriber equipment.
8. according to the method described in any one of Claims 1-4, it is characterised in that described surge events
For financial volatility event, described relevant parameter include following at least one: real time financial index, finance are handed over
Easily specified number evidence, the banking index in historical time cycle fluctuation data, banking index ups and downs life cycle function.
Method the most according to claim 8, it is characterised in that described according to the first preset rules with
And described relevant parameter calculates the first probability and/or second probability of described surge events, specifically include:
The state vector of banking index is generated according to described relevant parameter；
The state vector of described banking index is multiplied with transition probability matrix, obtains banking index fluctuation
Probability distribution；
The probability distribution fluctuated according to described banking index calculates the described first general of described financial volatility event
Rate and/or the second probability.
Method the most according to claim 9, it is characterised in that described transition probability matrix includes
Trend term and fluctuation item, described method also includes:
When the summation of described return result is below or above with the ratio result of the summation of described Selection parameter value
During preset value, revise described trend term and/or the weighted value of described fluctuation item.
11. 1 kinds of servers, it is characterised in that including:
Processing unit is used for, and obtains the relevant parameter of surge events in interactive application；
According to the first preset rules, described relevant parameter and described surge events at mutual initial time
Initial parameters value estimates the probability distribution of the event argument value of described surge events；
Drop-off to pick-up radio is calculated according to described probability distribution；
Obtain the Selection parameter value selecting to ask and described selection request is corresponding that subscriber equipment sends, institute
State and select request to select described surge events at the closedown parameter value of mutual close moment with described for indicating
Relation between initial parameters value；
According to described surge events the closedown parameter value of mutual close moment, described Selection parameter value and
Described drop-off to pick-up radio generates and returns result；
Transmit-Receive Unit is used for, and in described mutual close moment, selects request to return knot by described according to described
Fruit is sent to described subscriber equipment.
12. servers according to claim 11, it is characterised in that
Described processing unit is for obtaining the relevant parameter of surge events in interactive application particularly as follows: described
Processing unit is for obtaining the relevant parameter of surge events in interactive application in the first moment；
Described processing unit is for according to the first preset rules, described relevant parameter and described surge events
Initial parameters value at mutual initial time estimates the probability distribution tool of the event argument value of described surge events
Body is:
Described processing unit is for calculating described fluctuation thing according to the first preset rules and described relevant parameter
First probability of part and/or the second probability, described first probability is the event of surge events described in the second moment
Parameter value higher than described surge events at the probability of the initial parameters value of mutual initial time, described second general
Rate is that the event argument value of surge events described in the second moment is not higher than described surge events when mutual initiateing
The probability of initial parameters value carved, described second moment is later than described first moment.
13. servers according to claim 12, it is characterised in that described processing unit is used for root
Drop-off to pick-up radio is calculated according to described probability distribution, particularly as follows:
Described processing unit is for calculating, according to the second preset rules, the first return that described first probability is corresponding
Coefficient, and/or calculate the second drop-off to pick-up radio that described second probability is corresponding.
14. servers according to claim 13, it is characterised in that described processing unit is used for root
Calculate, according to the second preset rules, the first drop-off to pick-up radio that described first probability is corresponding, and/or calculate described second
The second drop-off to pick-up radio that probability is corresponding, particularly as follows:
Described processing unit is used for, and calculates the summation of described return result and the summation of described Selection parameter value
Ratio result；
Calculate the ratio of described ratio result and described first probability, obtain described first drop-off to pick-up radio；With/
Or, calculate the ratio of described ratio result and described second probability, obtain described second drop-off to pick-up radio.
15. according to the server described in any one of claim 11 to 14, it is characterised in that described choosing
Select and ask for indicating the described surge events of selection at the closedown parameter value of mutual close moment higher than described ripple
Dynamic event is in the initial parameters value of mutual initial time and/or selects described surge events in mutual close moment
Parameter value of closing be not higher than the described surge events initial parameters value at mutual initial time, described alternately
Close moment is later than described second moment.
16. according to the server described in claim 13 or 14, it is characterised in that described processing unit
For according to described surge events the closedown parameter value of mutual close moment, described Selection parameter value and
Described drop-off to pick-up radio generates and returns result, particularly as follows:
Described processing unit is used for, when described surge events is higher than at the closedown parameter value of mutual close moment
Described surge events is when the initial parameters value of mutual initial time, according to described Selection parameter value and described
First drop-off to pick-up radio generates the first return result；
When described surge events is not higher than described surge events in friendship at the closedown parameter value of mutual close moment
During the initial parameters value of mutual initial time, generate according to described Selection parameter value and described second drop-off to pick-up radio
Second returns result.
17. servers according to claim 16, it is characterised in that described processing unit is used for root
Select request that described return result is sent to described subscriber equipment according to described, particularly as follows:
Described processing unit is used for, when described selection request is used for indicating the described surge events of selection alternately
Close moment close parameter value higher than described surge events when the initial parameters value of mutual initial time,
Return result by described first and be sent to described subscriber equipment；
Select request for indicating the closedown parameter selecting described surge events in mutual close moment when described
Value not higher than described surge events, when the initial parameters value of mutual initial time, returns knot by described second
Fruit is sent to described subscriber equipment.
18. according to the server described in any one of claim 11 to 14, it is characterised in that described ripple
Dynamic event is financial volatility event, described relevant parameter include following at least one: real time financial index,
Financial transaction specified number evidence, the banking index in historical time cycle fluctuation data, banking index ups and downs Life Cycle
Phase function.
19. servers according to claim 18, it is characterised in that described processing unit is used for root
General according to the first preset rules and the first probability of the described relevant parameter described surge events of calculating and/or second
Rate, particularly as follows:
Described processing unit is used for, and generates the state vector of banking index according to described relevant parameter；
The state vector of described banking index is multiplied with transition probability matrix, obtains banking index fluctuation
Probability distribution；
The probability distribution fluctuated according to described banking index calculates the described first general of described financial volatility event
Rate and/or the second probability.
20. servers according to claim 19, it is characterised in that described transition probability matrix bag
Including trend term and fluctuation item, described processing unit is additionally operable to:
When the summation of described return result is below or above with the ratio result of the summation of described Selection parameter value
During preset value, revise described trend term and/or the weighted value of described fluctuation item.
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| CN201610309194.2A CN106021372A (en) | 2016-05-11 | 2016-05-11 | Data processing method and server |
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| CN201610309194.2A CN106021372A (en) | 2016-05-11 | 2016-05-11 | Data processing method and server |
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| CN201610309194.2A Pending CN106021372A (en) | 2016-05-11 | 2016-05-11 | Data processing method and server |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108388674A (en) * | 2018-03-26 | 2018-08-10 | 百度在线网络技术（北京）有限公司 | Method and apparatus for pushed information |
| CN109495266A (en) * | 2018-12-25 | 2019-03-19 | 北京字节跳动网络技术有限公司 | Data ciphering method and device based on random number |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1449535A (en) * | 2000-05-01 | 2003-10-15 | Cfph有限责任公司 | Real-time interactive wagering on event outcomes |
| CN104379223A (en) * | 2012-02-24 | 2015-02-25 | Cfph有限责任公司 | Amusement devices including customizable gaming parameters |
| CN104722067A (en) * | 2009-01-02 | 2015-06-24 | 马库斯·A·卡茨 | Card game interface |
| CN104956411A (en) * | 2013-02-03 | 2015-09-30 | 挪佛麦迪哥股份公司 | Real-time betting system and method including a jackpot |
-
2016
- 2016-05-11 CN CN201610309194.2A patent/CN106021372A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1449535A (en) * | 2000-05-01 | 2003-10-15 | Cfph有限责任公司 | Real-time interactive wagering on event outcomes |
| CN104722067A (en) * | 2009-01-02 | 2015-06-24 | 马库斯·A·卡茨 | Card game interface |
| CN104379223A (en) * | 2012-02-24 | 2015-02-25 | Cfph有限责任公司 | Amusement devices including customizable gaming parameters |
| CN104956411A (en) * | 2013-02-03 | 2015-09-30 | 挪佛麦迪哥股份公司 | Real-time betting system and method including a jackpot |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108388674A (en) * | 2018-03-26 | 2018-08-10 | 百度在线网络技术（北京）有限公司 | Method and apparatus for pushed information |
| CN108388674B (en) * | 2018-03-26 | 2021-11-26 | 百度在线网络技术（北京）有限公司 | Method and device for pushing information |
| CN109495266A (en) * | 2018-12-25 | 2019-03-19 | 北京字节跳动网络技术有限公司 | Data ciphering method and device based on random number |
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