CN106202473A - A kind of brands based on big data analyze method and system - Google Patents
A kind of brands based on big data analyze method and system Download PDFInfo
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Abstract
The invention provides a kind of brands based on big data and analyze method and system, including: achievement data analytical calculation module；Informational capacity analytical calculation module；Ratio Analysis computing module.Method specifically includes following steps: obtain related data；The data of acquisition are combined line style and process the achievement data obtaining correspondence；Achievement data after processing is analyzed and adjusts computing, obtains informational capacity；The information elongation of the informational capacity obtained and information fundamental quantity and input is obtained information quality ratio by corresponding ratio calculation.The present invention can obtain, based on network (including Internet of Things, cloud network etc.), the data that the decision-making with people of a certain behavior or object is relevant, can draw for the using and promote of new technique, the selection of product technology, brand names management etc. and reasonably export result, it is to avoid the significant waste of resource.
Description
Technical field
The present invention relates to technical field of information processing, particularly relate to a kind of based on big data brand analysis method and system.
Background technology
Big data refer to carry out, with conventional software instrument, the number that catches, manage and process in the time range that can bear
According to set, it is to need new tupe just can have higher decision edge, see clearly discovery power and process optimization ability to adapt to sea
Amount, high growth rate and diversified information assets.The enterprise that a large amount of consumers provide product or service can utilize big data
Carrying out precision marketing, the middle long-tail enterprise doing little and U.S. pattern can utilize big data to do service transformation, faces the Internet pressure
Under the traditional forms of enterprises that must make the transition need to grow with each passing hour to make full use of the value of big data.
The arriving in mobile Internet epoch makes enterprise face new data management problem, the such as pipe to technical data
Reason, the management to public resource data, the management to customer data, management etc. to inside data of enterprise.How to utilize big number
It is problem demanding prompt solution instantly according to the assets value carrying out enterprise.On the other hand, to big shortage of data Quantity Analysis Theory
Always perplexing the key problem of enterprise development, in prior art, the applied research of data big for the Internet is the most also only limitted to
Theory analysis, the method for not quantitative analysis and aid.Particularly analyzing a certain behavior or the acceptance of object, adopting
Receive degree, analyze a certain behavior or object to the value of society, to enterprise value, to the value of the public time, existing big data
The parameter analyzed or relate in small sample analysis method is comprehensive not, and obtained result can accurately reaction information quality
Situation.
Additionally, during relying on the big data good and bad degree analysis and decision to some behavior or an object, data
Process, data and data between the reasonability of relational model will directly influence the result of analysis, how to getting
The logical relation that data carry out processing and find between each data is also insurmountable problem in prior art.
Summary of the invention
The problem lacking quantitative analysis during for overcoming present in prior art for big data analysis, the invention provides
A kind of analysis system based on big data, including: achievement data analytical calculation module, the data of data acquisition are combined line
Type processes the achievement data obtaining correspondence；Informational capacity analytical calculation module, the number that achievement data analytical calculation module is obtained
Obtain informational capacity according to being analyzed and adjust computing；Ratio Analysis computing module, for the informational capacity obtained and information
The information elongation of fundamental quantity and input obtains information quality ratio by corresponding ratio calculation.
Preferably, also include data acquisition module, for obtaining the data of effective information；Data input module, for defeated
Enter the information data of relevant behavior or object；The data that data acquisition module and data input module obtain export index
Data analysis computing module.And information quality output module, by the information quality calculated number of ratio Analysis computing module
Compare according to the data in information quality reference data storehouse；Information quality reference data comparison obtained is more interval
Title exports.This module is before calculating informational capacity, first to the average cognition degree in brand achievement data, evaluation degree and tune
The truth of a matter in integral coefficient exponential function carries out computing and obtains scale factor, for Adjustable calculation result.
Described data acquisition module includes a parameter acquisition module, for obtaining index and the numerical range thereof of data；One
Structured analysis module, carries out structured analysis by the data result of parameter acquisition module.
Described achievement data includes: the total number of persons relevant with some behavior or object, and ordinary group is fully known should
Behavior or the extreme value of object quantity of information to be propagated, the behavior or object currently average cognition degree.
Extreme value Z of the ordinary group fully known behavior or object quantity of information to be propagated is according to behavior or right
Elephant alternative, substitute behavior or the quantity of object and determine.
Described evaluation degree is the unfavorable ratings degree sum that degree and weighting are evaluated in front.
It is a further object to provide the analysis method that a kind of utilization analysis based on big data system is carried out, its
Innovative point is, specifically includes following steps:
(1) data are obtained；
(2) data of acquisition are combined line style and process the achievement data obtaining correspondence；
(3) achievement data after processing is analyzed and adjusts computing, obtains informational capacity；
(4) to the information elongation of the informational capacity obtained and information fundamental quantity and input by corresponding ratio calculation
Obtain information quality ratio.
Preferably, described achievement data includes: the total number of persons relevant with some behavior or object, and ordinary group is complete
Know the behavior or the extreme value of object quantity of information to be propagated, the behavior or object currently average cognition degree.
On this basis, the extreme value of the described ordinary group fully known behavior or object quantity of information to be propagated depends on
Determine according to the behavior or alternative, the behavior of replacement of object or the quantity of object.
On this basis, the information quality reference that described comparison obtains exports with the title that data are more interval.
On this basis, the information quality reference that described comparison obtains exports with the title that data are more interval, and passes through
Information quality output module exports；Described information quality output module includes comparing unit and output unit, comparing unit
For the information quality calculated data of ratio Analysis computing module are carried out with the data in information quality reference data storehouse
Comparison；Output unit is for the more interval title output of the information quality reference data that comparison obtained.
Compared with prior art, the invention has the beneficial effects as follows: the present invention (can include Internet of Things, cloud network based on network
Deng) obtain the data that the decision-making with people of a certain behavior or object is relevant, and data are carried out scientific disposal, combining information reason
Opinion contribution degree is showed with the form of the visual rationing of information quality ratio, with the size of numerical value specifically represent the behavior or
The situation of person's object information quality, and by information quality output module, the result analyzed is exported, it is achieved that to a certain behavior
Or the quantitative analysis of the decision factor of object, sole mass.Science can be carried out for a certain concrete behavior or object
Reasonably evaluate, such as using and promoting, for the decision-making of some event, for some product for a certain item new technique
Product, the selection of technology, quality evaluation for school, market, brand names etc., all can draw and reasonably export result, keep away
Exempt from the significant waste of resource.
Accompanying drawing explanation
Fig. 1 is the structural representation of the system of the present invention.
Detailed description of the invention
Below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that described herein
Specific embodiment only in order to explain the present invention, is not intended to limit the present invention.
First embodiment of the invention discloses a kind of analysis method based on big data, comprises the steps:
(1) data are obtained；
(2) data of acquisition are combined line style and process the achievement data obtaining correspondence；
(3) achievement data after processing is analyzed and adjusts computing, obtains informational capacity；
(4) to the information elongation of the informational capacity obtained and information fundamental quantity and input by corresponding ratio calculation
Obtain information quality ratio.
Such as Fig. 1, second embodiment of the invention discloses a kind of analysis system based on big data, is primarily directed to first
On the basis of analysis method in embodiment, it is described in detail in conjunction with big data platform and discloses.Described big data
Content can be technical information, customer information, brand message and information that all are relevant with the attribute of people or behavior, these
Data can be structurized or non-structured.Described system includes:
Data acquisition module, for obtaining the data of effective information；Preferably, it is for obtaining the pass in network data base
In data, by the Internet, system is attached with the data base on network, thus obtains about the data of information.Its
In, network data base is by the network user initiates questionnaire survey and the data generating the information in appointment region
Storehouse.Further, described data source can be unstructured data.Described data can be distributed across on network with a certain skill
The technical information that art theme is relevant, such as " 3D printing ", it is also possible to be with the relevant data of a certain object, such as with a certain brand
Relevant data, it is also possible to be that such as, take public transport relevant data with the relevant data of the behavior of people.
Preferably, described data acquisition module includes consisting of part:
One parameter acquisition module, for obtaining index and the numerical range thereof of data, described scope can be a time
Section, such as 8 o'clock to 10 o'clock morning；One concrete area, such as Beijing；One specific crowd, such as student；Or
One concrete behavior, such as, get on the bus and swipe the card；Or a concrete object, such as one or several brands, one or
Several enterprises.Without limitation, parameter acquisition module is connected to the network such as mobile Internet and/or the Internet, and reception comes from
The data of network.Such as, data acquisition module may be connected to an online website with survey feedback function, and visitor is by being somebody's turn to do
Website is submitted to or leaves data message.Such as, when needing to be taken at the relevant demographics of a certain object, such as, need to obtain
Take number that certain time period swiped the card by subway ENTRANCE or need to obtain certain time period and log in computer in office
Specific crowd or need obtain a certain family or Ji Jia enterprise are known number, to the feedback of a certain school public praise and
To number that certain several trade mark is known etc..This website sends after adding up the feedback result of interviewee's number, interviewee
To parameter acquisition module；On the other hand, alternatively, the feedback result of interviewee can directly be sent to parameter acquiring mould by this website
Block, parameter acquisition module the statistics of the number that conducts interviews.Additionally, it will be understood by those of skill in the art that described website
Quantity can be with more than one, and the content of the data that same website is provided can also more than one, say, that parameter acquiring mould
Block can be connected by the way of wired or wireless with multiple online websites, obtains the feedback information of multiple online website.Excellent
Choosing, for investigating a certain behavior or object, the data of described information include the population in appointment region, to this
Other behaviors that number that behavior or object are known, the number of visiting people are relevant with this similar behavior or object or the number of object
Measure, be ready make the behavior or select the number of this object and be unwilling make the behavior or select the number of this object
Deng.Such as, the object that investigation obtains can be selection high-speed railway trip, take office to certain enterprise, to some school popularity
Investigation, investigation etc. to a certain brand recognition.
One data input module, for inputting the information data of relevant behavior or object；Preferably, data acquisition mould
Block can also arrange input block, logging data by the way of being manually entered, can be by the side such as input through keyboard, phonetic entry
Formula realizes.One structured analysis module, carries out structured analysis by the data result of parameter acquisition module.Because parameter acquiring mould
The data that block obtains may not have structures, and the premise of quantitative analysis to be carried out is data structured, therefore structure
The data that parameter acquisition module is provided by fractional analysis module carry out structuring.Such as parameter acquisition module is based on touching one
Individual key word, a questionnaire, one section of interview content carry out collecting and obtain, what it was fed back be probably passage, a section
Word and picture, a brief answer etc. not having in the form of gauge outfit, a questionnaire.First structured analysis module builds
A vertical structurized form, then the data to parameter acquisition module carry out keyword abstraction or specific character, character string
Coupling, brief semantic coupling, the result of extraction or the result of coupling are inserted in structuring form.On the other hand,
The data of parameter acquisition module are also added up by structured analysis module, the result of statistics are inserted in structuring form.
Such as, this structuring form can include but not limited to: accesses the number of a certain website, time period, tendentiousness suggestion etc..
After achieving the information data of necessity, by computer, the data of acquisition are combined at line style accordingly
Reason obtains corresponding achievement data, and described achievement data includes but not limited to: the total people relevant with some behavior or object
Number, such as, take the Population of bullet train, use the customer quantity of 3D printing technique, some reputable brand people from consumer
Group's sum etc.；The behavior or the Knowledge status of object, such as to bullet train degree of understanding, to 3D printing device performance understand
Degree, to a certain brand recognition etc.；The ordinary group fully known behavior or the pole of object quantity of information to be propagated
Value, high ferro is understood the maximum fault information of required propagation, is printed those of ordinary skill 3D completely by such as revenue passenger completely
Technology understands the extreme value of quantity of information to be propagated, that the head of a family in some area to understand some school completely is to be propagated
The extreme value of the quantity of information that maximum fault information, ordinary consumer are to be propagated to some Brang Awareness；The behavior or object are worked as
Before average cognition degree, the such as current average cognition degree to bullet train, the average cognition degree to 3D printing technique, to some
The average cognition degree of school, the average cognition degree to some enterprise or brand.
Concrete, wherein the total crowd for a certain behavior or object is i.e. total with region for the local population divided
Number, i.e. specifies the population in region in step one.
Preferably, when utilizing big data to be analyzed a certain behavior or object, can define the behavior or object
Popularity, popularity means that audient, to a certain behavior or the metric of object Knowledge status, i.e. has and how much knows this row
For or object.When analytical calculation, popularity can use the ratio of number and the total number of persons knowing the behavior or object.
Preferably, before solving above-mentioned extreme value Z value, in addition it is also necessary to determine the sum of target group, and target group
Structure.Stratified Sampling, and the sample investigated according to the ratio arrangement of its structure is carried out according to the structure of target group.Additionally, it is general
Extreme value Z of logical colony's fully known behavior or object quantity of information to be propagated can standby according to the behavior or object
Choosing, the behavior substituted or the quantity of object and determine, such as can according to ordinary group select it is alternative, substitute behavior or
Depending on information formula when person's object probability occurs.High ferro is understood the maximum information of required propagation by such as revenue passenger completely
Amount can be by printing the understanding of complete technology depending on the revenue passenger kind quantity to other vehicles, to those of ordinary skill 3D
The extreme value of quantity of information to be propagated can according to depending on the scale amounts of existing product moulding technique, the family in some area
Length to understand some school maximum fault information to be propagated completely can be according to other connatural schools in this area
The extreme value of the quantity of information that quantity determines, ordinary consumer is to be propagated to some Brang Awareness can alternative according in industry
Depending on information formula when brand number equiprobability occurs.It is believed that the ordinary group fully known behavior or object are wanted
Extreme value Z of quantity of information propagated is cognition degree quantity of information when reaching 100%.
As previously mentioned, for the vehicles, there are the multiple choices such as high ferro, aircraft, automobile, 3D is printed
There is also equally for technology its substitute technology, for some school, some brand, its place region or
Person's industry there is also other emulative school or brand.It is to say, in a specific environment, some behavior
Or object exist at least one or multiple alternative or substitute behavior or object.Experience have shown that, each ordinary group
The maximum that some behavior or object cognition degree can be arrived be all a value determined.One ordinary group is complete
Knowing the quantity of information that a technology, school, a kind of new trip mode, a brand are to be propagated, one disappears in other words
The person of expense is in a concrete environment, and the amount to all information that one of them behavior or object are grasped is a value determined,
It alternative according to it or substitute behavior or object quantity depending on.
It is believed that the maximum that some behavior or object cognition degree can arrive be based on " in alternative objects or
When person's behavior probability of happening is equal, this object or behavioural information amount are maximum " principle under, residing for the behavior or object
Overall behavior or object number in environment and the value that determines.
In the present invention, the fully known a certain behavior of individuality in ordinary group or the pole of object quantity of information to be propagated
Value is calculated by following technology formula:
In formula, p (xi) be a certain individuality to i-th behavior or the probability of object choice, n is in a specific environment
The behavior or the number of object.
Additionally, cognition degree average to certain behavior or object is by by fully known this row of average individual
For or the object extreme value of quantity of information to be propagated carry out what decile obtained with the difference of 1.In the case of certain popularity,
Each individuality knows its quantity of information of sample of the behavior or object when being 1, and each individuality is to the behavior or the cognition of object
Degree is variant.RmaxBeing the situation of full information, all information of the behavior or object are all grasped by an average individual, full
Information is exactly 100% effectively to arrive for this individuality.RmaxIt is exactly cognitive depth to 1, by Rmax-1 decile is used for representing wherein
Effective degree of awareness that arbitrary average individual reaches, the most a certain individuality reaches any one degree, is expressed as r=Xir%, and
It is hereby achieved that the value of an average cognition degree.
Additionally, a certain behavior or object can be analyzed its evaluation degree further, it is calculated by equation below:In formula, α1For evaluating degree, x is the true employing or the ordinary group sample of the acceptance action or object occurred
In Ben, adopt or accept individual amount unrelated with specific behavior supplier when the behavior or object；Such as, for selecting
When the behavior of bullet train trip is analyzed, x does not consider the individual amount of specific rain model when representing and make this selection,
When being analyzed the housing choice behavior of 3D printing technique, x does not consider specific moulding process when representing selection 3D printing technique
The individual amount of (the most laser sintered, electron-beam sintering), when analysing whether to select school to attend school, x represents and does not considers this
The individual amount of the title in school, equally, when analyzing the selection of a certain brand, x represent when making this selection with concrete producer without
The individual amount closed.sxFor the true employing occurred or the total quantity of the ordinary group sample of the acceptance action or object；Y is for refusing
Absolutely in the ordinary group sample of the behavior or object, reason is the individuality that disappears of the option the most relevant with the behavior or object
Number；Such as, for select bullet train trip behavior be analyzed time, x represent bullet train itself is not received
Body quantity, when being analyzed the housing choice behavior of 3D printing technique, x represents irrespective number of individuals during 3D printing technique
Amount, when analysing whether to select school to attend school, x represents the individual amount refused because of some school itself, equally, is analyzing
During the selection of a certain brand, x represents because of the individual amount of brand reason refusal.syFor selecting the behavior or the replacement row of object
For or the individual amount of object；Such as, for select bullet train trip behavior be analyzed time, y represent selection aircraft,
The individual amount of other trip modes such as automobile, when being analyzed the housing choice behavior of 3D printing technique, y represents that selection is existing
The individual amount of moulding process, when analysing whether to select a certain school to attend school, y represents the number of individuals selecting other schools
Amount, equally, when analyzing the selection of a certain brand, y represents consumer's number of consumer's sample of competitor in business's brand article
Mesh；η is frequency conversion coefficient.
Above-mentioned evaluation degree is that ordinary group is to a behavior or the likability of object.Above-mentioned information can be by non-
Key word in structural data and theme carry out capturing and analysis obtains, it is also possible to by simply investigating acquisition, then converge
Total and obtain average, it is the index of the degree of a percentage expression.
Scientific statistics shows, even technology ripe again, the most easily new science and technology, school that public praise is the best, hospital, enterprise
Industry, brand or some public figure, the people that also can take exception.It is to say, a behavior or object can not be deposited
In 100% phenomenon accepted, evaluation degree alternates betwwen good and bad.
The evaluation degree of behavior or object will be divided into front to evaluate degree, unfavorable ratings degree by the present invention further.Have
The analysis method closing front evaluation degree is:In formula, the analysis method about unfavorable ratings degree is:
Tolerance accordingly, with respect to the evaluation degree of a certain behavior or object is positive and negative evaluation degree to be added up to, and negative
Evaluation degree is bigger on the impact of average individual, therefore, needs to be weighted negative evaluation degree in the formula added up to, and
Using frequency conversion coefficient to process, final evaluation degree is obtained by formula calculated as below:
Frequency conversion coefficient η is that average individual to the attention rate of the behavior or the specific environment at object place, (close by such as industry
Note degree) coefficient relevant to its attention rate with media, this frequency conversion coefficient may rely on more massive data and calculates
Obtain, such as, when bullet train is gone on a journey by analysis, ordinary group is not limited to the crowd often gone on a journey, but can be by hardly
The colony of trip also includes in into；The enterprise in whole equipment manufacturing field can be included in into when analyzing 3D and printing, divide
Analysis school or during brand, the colony that can touch the school in district larger or the brand of whole industry also can be included in into
Come.In concrete calculating formula, attention rate can be divided into 10 grades from 0 to 9, equally by the media attention rate to its attention rate
It is divided into 10 grades, represents with 1 × 2 matrix, such as: (1,2), represent consumer's attention rate etc. to this brand place industry
Level is 1, and media are 2 to the attention rate grade of enterprise；According to matrix position, corresponding mapping relations can be set up, by this square
Battle array and obtain corresponding frequency conversion coefficient.It will be understood by those of skill in the art that the concrete calculation of described frequency conversion coefficient can
There to be multiformity, the average individual being previously mentioned in the present invention attention rate (example to the behavior or the specific environment at object place
Such as industry attention rate) and media its attention rate can be quantified, the mapping relations between period are also can be according to tool
Body situation sets, the invention is not restricted to concrete mapping mode and data, such as frequency conversion coefficient η can with value 1,2,
3 ..., it is also possible to it is fractional form or other irrational numbers.
Additionally, the average ratings degree of above-mentioned specific environment is calculated by equation below:In formula, Q is general
The quantity that a class in logical colony is individual, this kind of individuality is affected by other individualities to be selected, say, that this individuality be by
In the decision-making receiving other people impact and make；SZFor have ever made the behavior or selecting consumer's sum of this object.Example
As when bullet train is gone on a journey by analysis, Q is to be selected the number of sitting height ferrum because affecting by other people, SzToo high for having taken
The number of ferrum；When analyzing 3D and printing, Q is because being selected the number of 3D printing technique by other people word-of-mouth influence, SzFor
Used the number that 3D prints, analyzing school or during brand, Q be selected because affecting by other people evaluation this school or
The number of this brand of person, SzFor attending school or have selected the number of this brand in this school.
Achievement data analytical calculation module, for carrying out the data obtained from data acquisition module and data input module
Combination line style processes the achievement data obtaining correspondence；This module internal memory contains the computing formula of each achievement data and calculates generation
Code, brings the data obtained or input into formula by calculating code and is calculated achievement data, and described achievement data includes general
The number (can also be the number using some app, or accept the number of survey feedback) of logical colony, a certain behavior or
The fully known a certain behavior of individuality in the popularity of object, an ordinary group or the pole of object quantity of information to be propagated
Value, average cognition degree, by popularity come essential information amount, evaluate degree, the average ratings degree of a specific environment and
The truth of a matter in regulation coefficient exponential function.The brand achievement data obtained is for calculating the informational capacity of the behavior or object.
Informational capacity analytical calculation module, for being analyzed the data that achievement data analytical calculation module obtains and adjust
Whole computing obtains informational capacity；This module is before calculating informational capacity, first to the average cognition degree in achievement data, evaluation
The truth of a matter in degree and regulation coefficient exponential function carries out computing and obtains scale factor, for Adjustable calculation result.
Ratio Analysis computing module, for the information elongation to the informational capacity obtained and information fundamental quantity and input
Information quality ratio is obtained by corresponding ratio calculation；Equation below is used to calculate information fundamental quantity: J=[S × Z+ (Rmax—
1)×r×m×s]；In formula, J is the information fundamental quantity of a certain behavior or object；S is ordinary group total crowd；Z is a certain
Behavior or the popularity of object；RmaxThe fully known a certain behavior of individuality or object in one ordinary group to be propagated
The extreme value of quantity of information；R is the average cognition degree of a certain behavior or object；M be a certain behavior come by popularity or
The essential information amount of object, a certain behavior or the essential information amount of object that wherein m is i.e. come by popularity are target group
Total with a certain behavior or the product of popularity of object.
The information of a certain behavior or object is the probabilistic elimination true to this certain behavior or object；Its letter
Breath amount is exactly the tolerance to this probabilistic elimination degree.
It is the truth of a matter by the truth of a matter in regulation coefficient exponential function, evaluates the difference of degree and a specific environment average ratings degree
The ratio of value and this average ratings degree carries out exponent arithmetic as index and obtains scale factor；By information fundamental quantity and ratio because of
Son is adjusted computing and obtains informational capacity；Informational capacity is calculated by formula calculated as below:
In formula, S is special group total crowd；Z is the popularity of a certain behavior or object；RmaxOne ordinary group
In the fully known a certain behavior of individuality or the extreme value of object quantity of information to be propagated；R is a certain behavior or object
Average cognition degree；M is the essential information amount of a certain behavior or the object come by popularity；α is evaluation degree；It is a spy
Determine the average ratings degree of environment；Nz is the truth of a matter in regulation coefficient exponential function.Ratio by information fundamental quantity Yu informational capacity
Contribution rate as information fundamental quantity.
Preferably, the contribution rate of information fundamental quantity is calculated by formula calculated as below:θ table in formula
Show the contribution rate of the fundamental quantity of information；J represents information fundamental quantity；Described QERepresent informational capacity.Information fundamental quantity contribution rate is
Information fundamental quantity and the ratio of total quantity of information.This value the least expression fundamental quantity is shared in whole behavior or object information effect
Proportion is the least, and the extraneous dependency of the behavior or object is the least.
Information is extended the increment ratio with informational capacity and extends the contribution rate of increment as information.Preferably, Qi Zhongxin
Breath extends increment and uses the method for input to be input in computer system, and the contribution rate of information elongation passes through formula calculated as below
It is calculated:
Information extends increment contribution rate=(information extends increment/gross information content) * 100%.
Extend and refer in a certain behavior or object extension to different behaviors or object.Such as, bullet train is gone out
For row is analyzed, it extends can be to change to high ferro with other the vehicles to dock；For 3D printing technique, it prolongs
Stretch the application that could be for building；For school, extend and refer to provide a low rank or a high rank
Teaching；For brand, can be that this brand is applied on other products.
Informational capacity and information fundamental quantity and information are extended the difference of increment and the ratio of informational capacity as information matter
Contribution rate.Preferably, the contribution rate of information matter is calculated by formula calculated as below:
Information matter contribution rate=(gross information content-information fundamental quantity-information extends increment)/(gross information content) * 100%
The contribution rate of information matter, it is intended that its quality that the behavior or object obtain by evaluating degree is in informational capacity
Shared ratio.
By the contribution rate of the contribution rate of the contribution rate of information matter and information fundamental quantity and information elongation and carry out ratio
It is calculated information quality ratio；Information quality ratio is calculated by formula calculated as below:
The contribution rate of information quality ratio=information matter/(contribution rate of the contribution rate of information fundamental quantity+information extension increment).
The reflection of information quality ratio be some behavior or its quality proportion that object is obtained by evaluation degree accounts for
Total behavior or the ratio of object quality, it reflects the real quality situation of a behavior or object.
It is defeated that the information quality obtained obtains information quality than comparing than data base with the information quality pre-set
Go out result.Information quality reference data storehouse, compares district for depositing the information quality ratio reference data of the behavior or object
Between data.
Additionally, information quality output module includes comparing unit and output unit, comparing unit is for by information quality ratio
The calculated data of value analytical calculation module are compared with the data in information quality reference data storehouse；Output unit is used for
The title output that the information quality reference data that comparison obtained is more interval.
Compared with prior art, the invention has the beneficial effects as follows: the present invention (can include Internet of Things, cloud network based on network
Deng) obtain the data that the decision-making with people of a certain behavior or object is relevant, and data are carried out scientific disposal, combining information reason
Opinion contribution degree is showed with the form of the visual rationing of information quality ratio, with the size of numerical value specifically represent the behavior or
The situation of person's object information quality, and by information quality output module, the result analyzed is exported, it is achieved that to a certain behavior
Or the quantitative analysis of the decision factor of object, sole mass.Science can be carried out for a certain concrete behavior or object
Reasonably evaluate, such as using and promoting, for the decision-making of some event, for some product for a certain item new technique
Product, the selection of technology, quality evaluation for school, market, brand names etc., all can draw and reasonably export result, keep away
Exempt from the significant waste of resource.
Described above illustrate and describes the preferred embodiments of the present invention, as previously mentioned, it should be understood that the present invention not office
Be limited to form disclosed herein, be not to be taken as the eliminating to other embodiments, and can be used for other combinations various, amendment and
Environment, and can be changed by above-mentioned teaching or the technology of association area or knowledge in invention contemplated scope described herein
Dynamic.And the change that those skilled in the art are carried out and change are without departing from the spirit and scope of the present invention, the most all should be appended by the present invention
In scope of the claims.
Claims (10)
1. analysis systems based on big data, including: achievement data analytical calculation module, the data obtained are combined
Line style processes the achievement data obtaining correspondence；Informational capacity analytical calculation module, obtains achievement data analytical calculation module
Data are analyzed and adjust computing obtaining informational capacity；Ratio Analysis computing module, for the informational capacity obtained and letter
The information elongation of breath fundamental quantity and input obtains information quality ratio by corresponding ratio calculation.
A kind of analysis system based on big data, it is characterised in that: also include data acquisition mould
Block, for obtaining the data of effective information；Data input module, for inputting the information data of relevant behavior or object；
The data that data acquisition module and data input module obtain export achievement data analytical calculation module.
A kind of analysis system based on big data, it is characterised in that: described data acquisition module is also
Including a structured analysis module, the data result of parameter acquisition module is carried out structured analysis.
A kind of analysis system based on big data, it is characterised in that: also include that information quality exports
The information quality calculated data of ratio Analysis computing module are carried out by module with the data in information quality reference data storehouse
Comparison；The title output that the information quality reference data that comparison obtained is more interval.
A kind of analysis system based on big data, it is characterised in that calculate informational capacity it
Before, first the truth of a matter in the average cognition degree in achievement data, evaluation degree and regulation coefficient exponential function is carried out computing and obtain
Scale factor, for Adjustable calculation result.
6. the analysis method that the analysis systems based on big data utilized described in claim 1 are carried out, it is characterised in that tool
Body comprises the steps:
(1) data are obtained；
(2) data of acquisition are combined line style and process the achievement data obtaining correspondence；
(3) achievement data after processing is analyzed and adjusts computing, obtains informational capacity；
(4) the information elongation of the informational capacity obtained and information fundamental quantity and input is obtained by corresponding ratio calculation
Information quality ratio.
Analyze method the most as claimed in claim 6, it is characterised in that: described achievement data includes: with some behavior or
The extreme value of the quantity of information that the total number of persons that object is relevant, the ordinary group fully known behavior or object are to be propagated, the behavior
Or object currently average cognition degree.
Analyze method the most as claimed in claim 7, it is characterised in that: the described ordinary group fully known behavior or object
The extreme value of quantity of information to be propagated is true according to the behavior or alternative, the behavior of replacement of object or the quantity of object
Fixed.
Analyze method the most as claimed in claim 7, it is characterised in that: the information quality reference that described comparison obtains is with data ratio
More interval title output.
Analyze method the most as claimed in claim 9, it is characterised in that: the information quality reference that described comparison obtains is with data
The most interval title output, and exported by information quality output module；Described information quality output module includes ratio
To unit and output unit, comparing unit is for by the information quality calculated data of ratio Analysis computing module and information matter
Data in amount reference data storehouse are compared；Output unit is more interval for information quality reference data comparison obtained
Title output.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106846047A (en) * | 2016-12-23 | 2017-06-13 | 《中国医药科学》杂志社有限公司 | A kind of digitlization ad system based on network flow-medium |
| CN110517064A (en) * | 2017-11-16 | 2019-11-29 | 北京新意互动数字技术有限公司 | A kind of competing product model analysis method and system of core |
-
2016
- 2016-07-18 CN CN201610564863.0A patent/CN106202473A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106846047A (en) * | 2016-12-23 | 2017-06-13 | 《中国医药科学》杂志社有限公司 | A kind of digitlization ad system based on network flow-medium |
| CN110517064A (en) * | 2017-11-16 | 2019-11-29 | 北京新意互动数字技术有限公司 | A kind of competing product model analysis method and system of core |
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