CN110084619A - Support recognition methods, device and the computer readable storage medium of card behavior - Google Patents
Support recognition methods, device and the computer readable storage medium of card behavior Download PDFInfo
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- CN110084619A CN110084619A CN201910265762.7A CN201910265762A CN110084619A CN 110084619 A CN110084619 A CN 110084619A CN 201910265762 A CN201910265762 A CN 201910265762A CN 110084619 A CN110084619 A CN 110084619A
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- 238000004891 communication Methods 0.000 claims abstract description 162
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 25
- 238000009395 breeding Methods 0.000 claims abstract description 8
- 230000001488 breeding effect Effects 0.000 claims abstract description 8
- 230000006399 behavior Effects 0.000 claims description 82
- 238000004590 computer program Methods 0.000 claims description 16
- 230000011664 signaling Effects 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 abstract description 6
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
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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
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Abstract
The embodiment of the present invention provides recognition methods, device and the computer readable storage medium of a breeding card behavior, this method comprises: determining the communication any active ues in preset time period in base station；Obtain a variety of communication attributes information of each communication any active ues；A variety of communication attributes information of each communication any active ues are clustered as sample using clustering algorithm, to obtain cluster result；If the quantity for communicating any active ues in the cluster result of certain classification is greater than preset quantity threshold value, it is determined that any active ues in the cluster result of the category are to support card behavior user.Due to disposably determining all feeding card behavior users in base station as unit of base station, so greatly reducing recognition time and resource, improve practicability, and the similitude of a variety of communication attributes using focusing solutions analysis communication any active ues, the inner link of each communication attributes information can be analyzed, so the accuracy rate of identification can be effectively improved.
Description
Technical field
The present embodiments relate to field of communication technology more particularly to recognition methods, device and the meters of a breeding card behavior
Calculation machine readable storage medium storing program for executing.
Background technique
In common carrier and agential cooperative process, some agents are often led to obtain higher remuneration
The fraudulent means promotion sales achievement for opening virtual account in batches is crossed, this behavior, which is referred to as, supports card behavior.Existing feeding card side
Formula is usually a collection of SIM card to be inserted into a feeding card device, and by setting IMEI number, virtually make a phone call, send short message,
The Behavior modelings normal users periodic traffic activities such as online.
In the prior art to the recognition methods of feeding card behavior, multiple communication attributes are obtained primarily directed to each user and are believed
Breath, then respectively compare each communication attributes information with corresponding threshold value, it is determined whether to support card behavior.So existing skill
In art, regards these communication attributes information as independent information, have ignored the inner link of these communication attributes information, so leading
The accuracy rate for causing the recognition methods of existing feeding card behavior to identify is lower, and due to independently identifying for each user,
So needing to expend huge time and resource, practicability is also poor.
Summary of the invention
The embodiment of the present invention provides recognition methods, device and the computer readable storage medium of a breeding card behavior, the party
The accuracy rate that method solves the recognition methods identification of feeding card behavior in the prior art is lower, needs to expend huge time and money
Source, practicability also poor technical problem.
In a first aspect, the embodiment of the present invention provides the recognition methods of a breeding card behavior, comprising:
Determine the communication any active ues in preset time period in base station；
Obtain a variety of communication attributes information of each communication any active ues；
A variety of communication attributes information of each communication any active ues are clustered as sample using clustering algorithm, with
Obtain cluster result；
If the quantity for communicating any active ues in the cluster result of certain classification is greater than preset quantity threshold value, it is determined that the category
Any active ues in cluster result are to support card behavior user.
Further, method as described above determines the communication any active ues in preset time period in base station；
Obtain a variety of communication attributes information of each communication any active ues；
A variety of communication attributes information of each communication any active ues are clustered as sample using clustering algorithm, with
Obtain cluster result；
If the quantity for communicating any active ues in the cluster result of certain classification is greater than preset quantity threshold value, it is determined that the category
Any active ues in cluster result are to support card behavior user.
Further, method as described above, the communication any active ues in the determining preset time period in base station, specifically
Include:
The active time of the serviced user in base station in the preset time period is counted；
Communication any active ues are determined according to the active time of each user.
Further, method as described above, it is described to when enlivening of the serviced user in base station in the preset time period
Between counted, specifically include:
The time for carrying out Signalling exchange with each user equipment to base station in the preset time period counts；
The base station is determined as to the active time of corresponding user with the time that each user equipment carries out Signalling exchange.
Further, method as described above, it is described that communication any active ues are determined according to the active time of each user, specifically
Are as follows:
If the active time of certain user is greater than default active time threshold value, it is determined that the user is communication any active ues.
Further, method as described above, the communication attributes information include at least: bill information, call-information are short
Letter information, internet information.
Further, method as described above, the communication attributes information include at least: bill information, call-information are short
Letter information, internet information.
Further, method as described above, a variety of communication attributes information by each communication any active ues are made
It is clustered for sample using clustering algorithm, before obtaining cluster result, further includes:
A variety of communication attributes information of each communication any active ues are normalized.
Second aspect, the embodiment of the present invention provide a breeding card behavior identification device, comprising: memory, processor with
And computer program；
Wherein, the computer program stores in the memory, and is configured as being executed by the processor with reality
Now such as the described in any item methods of first aspect.
The third aspect, the embodiment of the present invention provide a kind of computer readable storage medium, are stored thereon with computer program,
The computer program is executed by processor to realize the method as described in any one of first aspect.
The embodiment of the present invention provides recognition methods, device and the computer readable storage medium of a breeding card behavior, passes through
Determine the communication any active ues in preset time period in base station；Obtain a variety of communication attributes information of each communication any active ues；It will
A variety of communication attributes information of each communication any active ues are clustered as sample using clustering algorithm, to obtain cluster result；
If the quantity for communicating any active ues in the cluster result of certain classification is greater than preset quantity threshold value, it is determined that the cluster result of the category
In any active ues be support card behavior user.Since all feeding card behaviors disposably determined in base station as unit of base station are used
Family improves practicability, and communicate any active ues using focusing solutions analysis so greatly reducing recognition time and resource
A variety of communication attributes similitude, the inner link of each communication attributes information can be analyzed, so knowledge can be effectively improved
Other accuracy rate.
It should be appreciated that content described in foregoing invention content part is not intended to limit the pass of the embodiment of the present invention
Key or important feature, the range being also not intended to limit the invention.Other feature of the invention will become to hold by description below
It is readily understood.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without any creative labor, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the flow chart of the recognition methods for the feeding card behavior that the embodiment of the present invention one provides；
Fig. 2 is the flow chart of the recognition methods of feeding card behavior provided by Embodiment 2 of the present invention；
Fig. 3 is the flow chart of the recognition methods step 201 of feeding card behavior provided by Embodiment 2 of the present invention；
Fig. 4 is the structural schematic diagram of the identification device for the feeding card behavior that the embodiment of the present invention three provides；
Fig. 5 is the structural schematic diagram of the identification device for the feeding card behavior that the embodiment of the present invention four provides.
Specific embodiment
Embodiment of the present invention will be described in more detail below with reference to accompanying drawings.Although being shown in attached drawing of the invention certain
Embodiment, it should be understood that, the present invention can be realized by various forms, and should not be construed as being limited to this
In the embodiment that illustrates, providing these embodiments on the contrary is in order to more thorough and be fully understood by the present invention.It should be understood that
It is that being given for example only property of accompanying drawings and embodiments effect of the invention is not intended to limit protection scope of the present invention.
The specification and claims of the embodiment of the present invention and the term " first " in above-mentioned attached drawing, " second ", "
Three ", the (if present)s such as " 4th " are to be used to distinguish similar objects, without for describing specific sequence or successive time
Sequence.It should be understood that the data used in this way are interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein as can
The enough sequence implementation with other than those of illustrating or describe herein.In addition, term " includes " and " having " and they
Any deformation, it is intended that cover it is non-exclusive include, for example, containing the process, method of a series of steps or units, being
System, product or equipment those of are not necessarily limited to be clearly listed step or unit, but may include be not clearly listed or
For the intrinsic other step or units of these process, methods, product or equipment.
Hereinafter reference will be made to the drawings to specifically describe the embodiment of the present invention.
Embodiment one
Fig. 1 is the flow chart of the recognition methods for the feeding card behavior that the embodiment of the present invention one provides, as shown in Figure 1, then this reality
The executing subject for applying example is the identification device for supporting card behavior, which can integrate in the electronic device, electricity
Sub- equipment can be computer, laptop, server or other equipment with independent processing ability.Then the present embodiment
The recognition methods of the feeding card behavior provided includes following steps.
Step 101, the communication any active ues in preset time period in base station are determined.
Due to illegal agent in order to imitate real user periodic traffic activity, virtual SIM card can be in for a long time and be held
Machine state simulates one or more communication behaviors.So as unit of base station, determining and being serviced in certain base station in the present embodiment
User, and it is a certain to the user in preset time period in the base station or a variety of communication behaviors count, according to the one kind
Or the length of the duration of a variety of communication behaviors determines which user is communication any active ues in the base station in preset time period,
Which user is to communicate inactive user.
Wherein, preset time period can be 1 month, 2 months or other suitable periods, in the present embodiment not to this
It limits.
Step 102, a variety of communication attributes information of each communication any active ues are obtained.
It is understood that a variety of communication attributes information of each communication any active ues obtained are in the preset time period
Interior communication attributes information.
Wherein, a variety of communication attributes information may include: bill information, call-information, short message and internet information.Account
Single information is communication cost amount.Call-information may include: the number made a phone call, and the number to receive calls is conversed every time
Duration.Short message may include: the quantity for sending short breath, receive the quantity of short message.Internet information may include: online
Total duration, total flow of surfing the Internet.
If preset time period is 1 month, bill information is the communication cost amount of this month.Call-information may include this
The number that the moon is made a phone call, the number that this month receives calls, the duration that this month converses every time.Short message may include: the moon
The quantity of short breath is sent, this month receives the quantity of short message.Internet information may include: the total duration of this month online, moon online
Total flow.
Step 103, a variety of communication attributes information of each communication any active ues are gathered as sample using clustering algorithm
Class, to obtain cluster result.
Specifically, in the present embodiment, using a variety of communication attributes information of each communication any active ues as gathering
Each sample is input in the model of clustering algorithm by the sample of class, is clustered to each sample, export cluster as a result, due to
Support what card behavior was completed by specific one people or several personal operations, so its communication behavior for supporting card has similitude, institute
To use focusing solutions analysis to go out the similitude of each communication any active ues communication behavior in the present embodiment, to identify feeding card behavior
User.
It may include multiple classifications in cluster result, include at least one sample in each classification.
Wherein, clustering algorithm can be prototype clustering algorithm, hierarchical clustering algorithm or density clustering algorithm, in the present embodiment
The type of clustering algorithm is not construed as limiting.
Step 104, if the quantity for communicating any active ues in the cluster result of certain classification is greater than preset quantity threshold value, it is determined that
Any active ues in the cluster result of the category are to support card behavior user.
Specifically, in the present embodiment, if the quantity for communicating any active ues in the cluster result of certain classification is greater than preset quantity
Threshold value then illustrates that the communication behavior very maximum probability of these communication any active ues is by specific one people or several personal imitation users
Communication behavior, it is determined that all any active ues in the cluster result of the category are feeding card behavior user.
The recognition methods of feeding card behavior provided in this embodiment, by determining that the communication in preset time period in base station is active
User；Obtain a variety of communication attributes information of each communication any active ues；By a variety of communication attributes information of each communication any active ues
It is clustered as sample using clustering algorithm, to obtain cluster result；If communicating any active ues in the cluster result of certain classification
Quantity be greater than preset quantity threshold value, it is determined that any active ues in the cluster result of the category are to support card behavior user.Due to
All feeding card behavior users in base station are disposably determined as unit of base station, so recognition time and resource are greatly reduced,
Practicability, and the similitude of a variety of communication attributes using focusing solutions analysis communication any active ues are improved, can be analyzed
The inner link of each communication attributes information out, so the accuracy rate of identification can be effectively improved.
Embodiment two
Fig. 2 is the flow chart of the recognition methods of feeding card behavior provided by Embodiment 2 of the present invention, as shown in Fig. 2, this implementation
The recognition methods for the feeding card behavior that example provides is on the basis of the recognition methods of the feeding card behavior of the offer of the embodiment of the present invention one
On, the further refinement to step 101- step 104, then the recognition methods of feeding card behavior provided in this embodiment includes following step
Suddenly.
Step 201, the communication any active ues in preset time period in base station are determined.
Fig. 3 is the flow chart of the recognition methods step 201 of feeding card behavior provided by Embodiment 2 of the present invention, as shown in figure 3,
Further, in this embodiment step 201 includes following steps.
Step 2011, the active time of the serviced user in base station in preset time period is counted.
Further, in this embodiment step 2011 to the active time of the serviced user in base station in preset time period into
Row statistics, specifically includes:
Step 2011a, the time for carrying out Signalling exchange with each user equipment to base station in preset time period count.
Base station is determined as enlivening for corresponding user with the time that each user equipment carries out Signalling exchange by step 2011b
Time.
Specifically, it is contemplated that false SIM card can be inserted into batches in feeding card device, and illegal agent is true in order to imitate
The periodic traffic activity of user can allow false SIM card to be in open state for a long time.In SIM card open state, can periodically with
Base station carries out Signalling exchange.So carrying out Signalling exchange to base station in preset time period and each user equipment in the present embodiment
Time counted, the time that base station and each user equipment carry out Signalling exchange is determined as when enlivening of corresponding user
Between.
Wherein, which may be true user equipment, it is also possible to for the feeding card device of insertion SIM card.
Step 2012, communication any active ues are determined according to the active time of each user.
Further, in this embodiment step 2012, determining communication any active ues, tool according to the active time of each user
Body are as follows:
If the active time of certain user is greater than default active time threshold value, it is determined that the user is communication any active ues.
Wherein, presetting active time threshold value can be set according to preset time period, which is to connect
It is bordering on the threshold value of preset time period.For example, preset time period is 1 month, then presetting active time threshold value can be 25 days or 27
It or other suitable numerical value is not construed as limiting this in the present embodiment.
Specifically, in the present embodiment, the active time of each user and default active time threshold value are compared, if certain is used
The active time at family is greater than preset time threshold, it is determined that the user is communication any active ues, if the active time of certain user is small
In or equal to preset time threshold, it is determined that the user is to communicate inactive user.If certain user is communication any active ues, say
The bright user is in open state for a long time, then illustrates that the probability that the user is feeding card behavior user is larger.
Step 202, a variety of communication attributes information of each communication any active ues are obtained.
Further, in this embodiment communication attributes information includes at least: bill information, call-information, short message,
Internet information.
Wherein, bill information is practical communication expense rating, and call-information includes: to make a phone call number, is received calls secondary
Number.Short message includes: to send short message quantity and receive short message quantity, and internet information includes: online total duration and the total stream of online
Amount.
So a variety of communication attributes information that respectively communication any active ues include are respectively as follows: practical communication expense rating, dial
Phone number, receive calls number, sends short message quantity, receives short message quantity, total duration of surfing the Internet, total flow of surfing the Internet.
Step 203, a variety of communication attributes information of each communication any active ues are normalized.
Further, in this embodiment in order to avoid different communication attribute information dimension and the difference of the order of magnitude are to poly-
Pair class result impacts, the quantity for needing to have dimension using method for normalizing, turns to nondimensional scalar by transformation, i.e.,
Above seven kinds of data carry out the normalized of formula (1):
Wherein, fl,iIt is the value of first of communication any active ues, i-th of communication attributes information, min (fk,i, k=1,2 .., s)
It is the minimum value for seeking s communication any active ues ith attribute, max (fk,i, k=1,2 .., s) and it is to seek s communication any active ues
The maximum value of ith attribute.In this way, just having obtained the communication attributes information after first of communication any active ues normalization are as follows: xl,i,
I=1,2 ..., 7.
Wherein, first of communication any active ues practical communication expense rating is expressed as fl,1, first of communication any active ues dial
Phone number is expressed as fl,2, first of communication any active ues number that receives calls is expressed as fl,3, first of communication any active ues hair
Short message quantity is sent to be expressed as fl,4, first communication any active ues receive short message quantity and are expressed as fl,5, first of communication any active ues
Online total duration is expressed as fl,6, first communication any active ues online quantity meter is shown as fl,7。
Step 204, a variety of communication attributes information of each communication any active ues are gathered as sample using clustering algorithm
Class, to obtain cluster result.
Further, in this embodiment step 204, using a variety of communication attributes information of each communication any active ues as sample
This is clustered using clustering algorithm, to obtain cluster result, specifically:
A variety of communication attributes information of each communication any active ues are clustered as sample using density clustering algorithm, with
Obtain cluster result.
In the present embodiment, since density clustering algorithm is poly- without presetting compared to prototype cluster and hierarchical clustering algorithm
The quantity of the formed cluster of class, the field radius r and field that need to only set cluster include that smallest sample number can portray sample
The tightness degree of distribution is realized to attribute similar to the cluster of sample, so using density clustering algorithm to sample in the present embodiment
It is clustered.
Specifically, in the present embodiment, when being clustered using density clustering algorithm to sample, include the following steps.
Step 2041, the parameter of Density Clustering model is initialized.
Where it is assumed that the quantity of communication any active ues is m, then the set expression for communicating any active ues is P={ x1,x2,…,
xm, xjThe vector of the corresponding data composition of seven communication attributes information of any active ues is communicated for j-th.That is xj=(xj,1,
xj,2,…,xj,7)。
In the present embodiment, the field radius r of cluster is initialized, field includes smallest sample number MinPts, i=1, set Q
(x) and set T.Wherein, set T is empty set, and set Q (x) is that the distance of any two sample in sample all in set P is small
In the sample set of r.
Wherein, the distance of any two sample is represented by shown in formula (2):
Step 2042, judge whether set P is null set.A sample x is taken if it is not, appointing from set P, and by the sample
It is removed from P, executes step 2043；If so, thening follow the steps 2046.
Step 2043, judge whether the sample size for including in set Q (x) is greater than MinPts.It makes an uproar if it is not, being then considered as x
Sound, and return step 2042；If so, sample all in set Q (x) is put into cluster CiAnd in set T, and by these samples
This is removed from P.
Step 2044, judge whether set T is null set.A sample x is taken if it is not, then appointing from set T*, and should
Sample is removed from T, executes step 2045；If so, i=i+1, return step 2042.
Step 2045, judge set Q (x*) in include sample size whether be greater than MinPts.If it is not, return step
2044；If so, by set Q (x*) in all sample be put into cluster CiAnd in set T, and these samples are removed from P,
Return step 2044.
Step 2046, C is exportedl, l=1,2 ..., i.
Wherein, cluster CiNumber be cluster classification number.
Step 205, judge whether the quantity that any active ues are communicated in the cluster result of certain classification is greater than preset quantity threshold value,
If so, 206 are thened follow the steps, it is no to then follow the steps 208.
Step 206, judge to communicate any active ues in the cluster result of the category in the communication cost amount of preset time period
Whether preset cost amount threshold value is respectively less than, if so, thening follow the steps 207.
Step 207, determine that any active ues in the cluster result of the category are to support card behavior user.
Step 208, determining any active ues in the cluster result of the category not is to support card behavior user.
Wherein, preset cost amount can be 30 yuan or other numerical value, be not construed as limiting in the present embodiment to this.
It is illustrated in conjunction with step 205- step 208, in the present embodiment, in order to further increase the knowledge of feeding card behavior user
Other accuracy rate, while considering that illegal agent simulates the communication category that normal users carry out multiple communication any active ues of current behavior
Property information there is very high similitude, and in order to reduce cost, the communication cost amount of every virtual SIM card should all less
The characteristics of, so the quantity for communicating any active ues in the cluster result for determining certain classification is greater than preset quantity threshold value, and should
Any active ues are communicated in the cluster result of classification is respectively less than preset cost amount threshold value in the communication cost amount of preset time period,
Just determine that any active ues in the cluster result of the category are to support card behavior user, and if communicating and living in the cluster result of certain classification
The quantity of jump user is less than or equal to preset quantity threshold value, it is determined that any active ues in the cluster result of the category are not to support card
Behavior user, although in the cluster result of certain classification communicate any active ues quantity be greater than preset quantity threshold value, such
It is not respectively less than preset cost amount threshold that any active ues are communicated in other cluster result in the communication cost amount of preset time period
Value, it is determined that any active ues in the cluster result of the category are not to support card behavior user.
The recognition methods of feeding card behavior provided in this embodiment, by determining that the communication in preset time period in base station is active
User obtains a variety of communication attributes information of each communication any active ues, to a variety of communication attributes information of each communication any active ues
It is normalized, a variety of communication attributes information of each communication any active ues is carried out as sample using density clustering algorithm
Cluster judges whether the quantity that any active ues are communicated in the cluster result of certain classification is greater than preset quantity to obtain cluster result
Threshold value, if so, judge communication any active ues in the cluster result of the category preset time period communication cost amount whether
Respectively less than preset cost amount threshold value, if so, determine that any active ues in the cluster result of the category are to support card behavior user,
By determining whether communication any active ues are to support card the characteristics of the quantity and communication cost amount of any active ues in cluster result
Behavior user further improves the accuracy of identification, effectively prevent the wrong identification to normal communication user.
Embodiment three
Fig. 4 is the structural schematic diagram of the identification device for the feeding card behavior that the embodiment of the present invention three provides, as shown in figure 4, this
The device that embodiment provides includes: memory 41, processor 42 and computer program.
Wherein, computer program is stored in memory 41, and is configured as being executed by processor 42 to realize the present invention
The recognition methods for the feeding card behavior that embodiment one provides or the recognition methods of feeding card behavior provided by Embodiment 2 of the present invention.
Wherein, memory 41 and processor 42 are connected by bus 43.
Wherein, the step of related description can be corresponded to referring to Fig. 1 to Fig. 2 corresponding associated description and effect are managed
Solution, does not do herein and excessively repeats.
The identification device of feeding card behavior provided in this embodiment, comprising: memory, processor and computer program；Its
In, computer program stores in memory, and is configured as being executed by processor to realize what the embodiment of the present invention one provided
Support the recognition methods of card behavior or the recognition methods of feeding card behavior provided by Embodiment 2 of the present invention.Due to as unit of base station one
Secondary property determines that all feeding card behavior users in base station improve practicability so greatly reducing recognition time and resource, and
And the similitude of a variety of communication attributes using focusing solutions analysis communication any active ues, each communication attributes information can be analyzed
Inner link, so the accuracy rate of identification can be effectively improved.
Example IV
Fig. 5 is the structural schematic diagram of the identification device for the feeding card behavior that the embodiment of the present invention four provides, as shown in figure 5, this
The device that embodiment provides includes: processing component 502, and memory 504 can also include one or more of the following components: power supply
Component 506, multimedia component 508, audio component 510, input/output (I/O) interface 512 and communication component 516.
Processing component 502 usually control support card behavior identification device integrated operation, such as with display, data communication and
Record operates associated operation.Processing component 502 may include one or more processors 520 to execute instruction, to complete
The all or part of the steps of above-mentioned method.In addition, processing component 502 may include one or more modules, it is convenient for processing group
Interaction between part 502 and other assemblies.For example, processing component 502 may include multi-media module, to facilitate multimedia component
Interaction between 505 and processing component 502.
Memory 504 is configured as storing various types of data to support the operation in the identification device for supporting card behavior.
The example of these data includes the instruction of any application or method for operating on the identification device for supporting card behavior, connection
It is personal data, telephone book data, message, picture, video etc..Memory 504 can be by any kind of volatibility or non-volatile
Property storage equipment or their combination realize, such as static random access memory (SRAM), electrically erasable is read-only to be deposited
Reservoir (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), read-only memory
(ROM), magnetic memory, flash memory, disk or CD.
Power supply module 506 provides electric power to support the various assemblies of the identification device of card behavior.Power supply module 506 may include
Power-supply management system, one or more power supplys and other with for support card behavior identification device generate, manage, and distribute electric power phase
Associated component.
Multimedia component 508 includes the screen of one output interface of offer between the identification device and user for supporting card behavior
Curtain.In some embodiments, screen may include liquid crystal display (LCD) and touch panel (TP).If screen includes touching
Panel, screen may be implemented as touch screen, to receive input signal from the user.Touch panel includes one or more touchings
Sensor is touched to sense the gesture on touch, slide, and touch panel.Touch sensor can not only sense touch or sliding is dynamic
The boundary of work, but also detect duration and pressure relevant to touch or slide.
Audio component 510 is configured as output and/or input audio signal.For example, audio component 510 includes a Mike
Wind (MIC), when the identification device for supporting card behavior is in operation mode, when such as call mode, recording mode, and voice recognition mode,
Microphone is configured as receiving external audio signal.The received audio signal can be further stored in memory 504 or
It is sent via communication component 516.In embodiments of the present invention, audio component 510 further includes a loudspeaker, for exporting audio
Signal.
I/O interface 512 provides interface between processing component 502 and peripheral interface module, and above-mentioned peripheral interface module can
To be click wheel, button etc..These buttons may include, but are not limited to: home button, volume button, start button and locking are pressed
Button.
Communication component 516 is configured to facilitate wired or wireless way between the identification device and other equipment of feeding card behavior
Communication.The identification device for supporting card behavior can access the wireless network based on communication standard, such as bluetooth, WiFi, 2G or 3G, or
Their combination.
Embodiment five
The embodiment of the present invention five provides a kind of computer readable storage medium, is stored thereon with computer program, computer
Program is executed by processor to be implemented with the recognition methods for realizing the feeding card behavior of the offer of the embodiment of the present invention one or the present invention
The recognition methods for the feeding card behavior that example two provides.
Computer readable storage medium provided in this embodiment, is stored thereon with computer program, and computer program is located
Reason device execute with realize realize the embodiment of the present invention one provide feeding card behavior recognition methods or second embodiment of the present invention provides
Feeding card behavior recognition methods, due to as unit of base station disposably determine base station in all feeding card behavior users, so
Recognition time and resource are greatly reduced, improves practicability, and using a variety of of focusing solutions analysis communication any active ues
The similitude of communication attributes, can analyze the inner link of each communication attributes information, so the standard of identification can be effectively improved
True rate.
In several embodiments provided by the present invention, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of module, only
A kind of logical function partition, there may be another division manner in actual implementation, for example, multiple module or components can combine or
Person is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Between coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or communication link of device or module
It connects, can be electrical property, mechanical or other forms.
Module may or may not be physically separated as illustrated by the separation member, show as module
Component may or may not be physical module, it can and it is in one place, or may be distributed over multiple networks
In module.Some or all of the modules therein can be selected to achieve the purpose of the solution of this embodiment according to the actual needs.
It, can also be in addition, each functional module in each embodiment of the present invention can integrate in a processing module
It is that modules physically exist alone, can also be integrated in two or more modules in a module.Above-mentioned integrated mould
Block both can take the form of hardware realization, can also realize in the form of hardware adds software function module.
The program code of method for carrying out the present invention can using any combination of one or more programming languages come
It writes.These program codes can be supplied to the place of general purpose computer, special purpose computer or other programmable data processing units
Device or controller are managed, so that program code makes defined in flowchart and or block diagram when by processor or controller execution
Function/operation is carried out.Program code can be executed completely on machine, partly be executed on machine, as stand alone software
Is executed on machine and partly execute or executed on remote machine or server completely on the remote machine to packet portion.
In the context of the present invention, machine readable media can be tangible medium, may include or is stored for
The program that instruction execution system, device or equipment are used or is used in combination with instruction execution system, device or equipment.Machine can
Reading medium can be machine-readable signal medium or machine-readable storage medium.Machine readable media can include but is not limited to electricity
Son, magnetic, optical, electromagnetism, infrared or semiconductor system, device or equipment or above content any conjunction
Suitable combination.The more specific example of machine readable storage medium will include the electrical connection of line based on one or more, portable meter
Calculation machine disk, hard disk, random access memory (RAM), read-only memory (ROM), Erasable Programmable Read Only Memory EPROM (EPROM
Or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage facilities or
Any appropriate combination of above content.
Although this should be understood as requiring operating in this way with shown in addition, depicting each operation using certain order
Certain order out executes in sequential order, or requires the operation of all diagrams that should be performed to obtain desired result.
Under certain environment, multitask and parallel processing be may be advantageous.Similarly, although containing several tools in being discussed above
Body realizes details, but these are not construed as the limitation to the scope of the present disclosure.In the context of individual embodiment
Described in certain features can also realize in combination in single realize.On the contrary, in the described in the text up and down individually realized
Various features can also realize individually or in any suitable subcombination in multiple realizations.
Although having used specific to this theme of the language description of structure feature and/or method logical action, answer
When understanding that theme defined in the appended claims is not necessarily limited to special characteristic described above or movement.On on the contrary,
Special characteristic described in face and movement are only to realize the exemplary forms of claims.
Claims (10)
1. the recognition methods of a breeding card behavior characterized by comprising
Determine the communication any active ues in preset time period in base station；
Obtain a variety of communication attributes information of each communication any active ues；
A variety of communication attributes information of each communication any active ues are clustered as sample using clustering algorithm, to obtain
Cluster result；
If the quantity for communicating any active ues in the cluster result of certain classification is greater than preset quantity threshold value, it is determined that the cluster of the category
As a result any active ues in are to support card behavior user.
2. if the method according to claim 1, wherein communicate any active ues in the cluster result of certain classification
Quantity be greater than preset quantity threshold value, it is determined that any active ues in the cluster result of the category are to support card behavior user, specifically
Include:
If the quantity for communicating any active ues in the cluster result of certain classification is greater than preset quantity threshold value, the cluster of the category is judged
As a result whether communication any active ues are respectively less than preset cost amount threshold value in the communication cost amount of the preset time period in；
It is preset if communicating any active ues in the cluster result of the category and being respectively less than in the communication cost amount of the preset time period
Expense rating threshold value, it is determined that any active ues in the cluster result of the category are to support card behavior user.
3. the method according to claim 1, wherein the communication in the determining preset time period in base station is active
User specifically includes:
The active time of the serviced user in base station in the preset time period is counted；
Communication any active ues are determined according to the active time of each user.
4. according to the method described in claim 3, it is characterized in that, described to the serviced user in base station in the preset time period
Active time counted, specifically include:
The time for carrying out Signalling exchange with each user equipment to base station in the preset time period counts；
The base station is determined as to the active time of corresponding user with the time that each user equipment carries out Signalling exchange.
5. according to the method described in claim 3, it is characterized in that, described determine that communication is active according to the active time of each user
User, specifically:
If the active time of certain user is greater than default active time threshold value, it is determined that the user is communication any active ues.
6. the method according to claim 1, wherein the communication attributes information includes at least: bill information leads to
Talk about information, short message, internet information.
7. the method according to claim 1, wherein a variety of communication categories by each communication any active ues
Property information clustered as sample using clustering algorithm, to obtain cluster result, specifically:
A variety of communication attributes information of each communication any active ues are clustered as sample using density clustering algorithm, with
Obtain cluster result.
8. method according to claim 1-7, which is characterized in that described by the more of each communication any active ues
Kind of communication attributes information uses clustering algorithm to be clustered as sample, before obtaining cluster result, further includes:
A variety of communication attributes information of each communication any active ues are normalized.
9. the identification device of a breeding card behavior characterized by comprising
Memory, processor and computer program；
Wherein, the computer program stores in the memory, and is configured as being executed by the processor to realize such as
Method of any of claims 1-8.
10. a kind of computer readable storage medium, which is characterized in that be stored thereon with computer program, the computer program
It is executed by processor to realize such as method of any of claims 1-8.
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| CN201910265762.7A CN110084619A (en) | 2019-04-03 | 2019-04-03 | Support recognition methods, device and the computer readable storage medium of card behavior |
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| CN201910265762.7A CN110084619A (en) | 2019-04-03 | 2019-04-03 | Support recognition methods, device and the computer readable storage medium of card behavior |
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