CN109726242A - Data processing method and system - Google Patents
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- CN109726242A CN109726242A CN201811634561.1A CN201811634561A CN109726242A CN 109726242 A CN109726242 A CN 109726242A CN 201811634561 A CN201811634561 A CN 201811634561A CN 109726242 A CN109726242 A CN 109726242A
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Abstract
The disclosure provides a kind of data processing method and system, is related to the communications field, and in particular to big data field, screening model poor compatibility and the problem of can not protect screening model safety when being able to solve data screening.The specific technical proposal is: user uploads customized screening model first, and as default screening model after the screening model is by verifying；The data screening request for obtaining user again determines corresponding data target by default screening model；Corresponding user credit data are obtained by the data target；The user credit data, which are handled, finally by default screening model generates target user data.A variety of screening models can be compatible with by the data processing method that the disclosure provides, and can be improved the safety of screening model, user data in data screening transmission process.The present invention is used for data screening.
Description
Technical field
This disclosure relates to the communications field more particularly to data processing method and system.
Background technique
As social development and the arrival of data age, data application have been deep into all trades and professions, in order to better, such as
Where valuable data are selected in mass data particularly significant.
Existing data screening technology and method are mainly loaded three parts and are formed by data pick-up, data scrubbing, data.
It has the drawback that
1, it under big data environment, in the prior art, in order to realize the different data screening demand of user, needs to customize
Corresponding data screening model is researched and developed, so cannot achieve the compatibility and adaptation between different data screening model.
2, the side that screening technique in the prior art needs to be implemented screening clearly knows the data knot of data source, target source
Structure and and screening transfer algorithm and model, when party in request needs protection algorism and model, art methods can not be coped with.
Summary of the invention
The embodiment of the present disclosure provides a kind of data processing method and system, and screening model is compatible when being able to solve data screening
Property difference and the problem of screening model safety can not be protected.The technical solution is as follows:
According to the first aspect of the embodiments of the present disclosure, a kind of data processing method is provided, this method comprises:
Obtain target user data screening request, user's screening request, refer to determined according to object filtering result it is corresponding
Target user data；
Target user data screening request is parsed according to default screening model, determines target indicator data；
According to target indicator data, target user's credit data is obtained, user credit data refer to, in user credit number
According to the user credit data for being determined for compliance with target indicator data in library；
According to default screening model, processing target user credit data generate target user data.
In one embodiment, this method is before obtaining target user data screening request, comprising:
It obtains user's logon information and authenticates, after user's logon information passes through authentication process, obtain screening model；
When screening model meets preset model standard, screening model is carried out to close rule verifying；
After screening model is by closing rule verifying, determine that screening model is default screening model, closing rule verifying includes: model
Stability verifying and the verifying of model one-parameter.
In one embodiment, this method is when obtaining screening model, comprising:
Obtain input paramete information, input paramete information be based on index data type in user credit database index and
What corresponding data value range determined；
Acquisition default data processing rule, default data processing rule, including, user credit evaluates the processing of data indexing
Rule and the corresponding relationship between achievement data and the selection result；
Output parameter information is obtained, output parameter information refers to, handles input parameter letter according to default data processing rule
User information data and the selection result data are exported after breath；
According to input data screening rule, default data processing rule and output data screening rule, screening model is generated.
In one embodiment, this method is when screening model meets preset model standard, including；
According to preset data indication range, the input data of screening model is verified；
When input data meets preset data indication range, data safety is carried out to the output data of screening model and is tested
Card；
When output data is verified by data safety, determine that screening model meets preset model standard.
In one embodiment, this method is determined according to screening model parsing target user data screening request is preset
Target indicator data, including；
Determine that input paramete information determines corresponding target indicator data classification and corresponding mesh according to default screening model
Mark index value；
According to target indicator data classification and corresponding target indicator numerical generation target indicator data.
In one embodiment, this method is determined for compliance with the target user of target indicator data in user credit database
Credit data, comprising:
It obtains user credit database, user credit database, including user's master data, user credit and evaluates data；
According to user credit database and default screening model, user's achievement data is generated；
User credit data are generated according to user's achievement data and user's master data；
According to user credit data, it is determined for compliance with user's achievement data of target indicator data.
The data processing method that the embodiment of the present disclosure provides, first user upload customized screening model, and in the screening
Model is by being used as default screening model after verifying；The data screening request of user is obtained again, it is true by default screening model
Fixed corresponding data target；Corresponding user credit data are obtained by the data target；At default screening model
It manages the user credit data and generates target user data.A variety of screenings can be compatible with by the data processing method that the disclosure provides
Model, and can be improved the safety of screening model, user data in data screening transmission process.
According to the second aspect of an embodiment of the present disclosure, a kind of data processing system is provided, comprising:
Data requirements device, data screening device and credit data processing unit；
Data requirements device is sent to data screening for obtaining user's input paramete information and generating user's screening request
Device；
Data screening device, for being used based on default screening model parsing target according to target user data screening request
User data screening request determines that target indicator Data Concurrent is sent to data storage device；
And target user data is generated after obtaining target user's achievement data and is sent to data requirements device；
Credit data processing unit, for generating target user's achievement data and being sent to number according to target indicator data
According to screening plant, user's achievement data refers to user's index that target indicator data are determined for compliance in user credit database
Data.
In one embodiment, the data screening device of the system, is also used to:
It obtains user's logon information and authenticates, after user's logon information passes through authentication process, obtain screening model；
When screening model meets preset model standard, screening model is carried out to close rule verifying；
After screening model is by closing rule verifying, determine that screening model is default screening model, closing rule verifying includes: model
Stability verifying and the verifying of model one-parameter.
In one embodiment, the data screening device of the system, is also used to,
Determine that input paramete information determines corresponding target indicator data classification and corresponding mesh according to default screening model
Mark index value；
And according to target indicator data classification and corresponding target indicator numerical generation target indicator data.
In one embodiment, the credit data processing unit of the system, is also used to,
It obtains user credit database, user credit database, including user's master data, user credit and evaluates data；
According to user credit database and default screening model, user's achievement data is generated；
User credit data are generated according to user's achievement data and user's master data；
According to user credit data, it is determined for compliance with user's achievement data of target indicator data.
The data processing system that the embodiment of the present disclosure provides, first user upload customized screening model, and in the screening
Model is by being used as default screening model after verifying；The data screening request of user is obtained again, it is true by default screening model
Fixed corresponding data target；Corresponding user credit data are obtained by the data target；At default screening model
It manages the user credit data and generates target user data.A variety of screenings can be compatible with by the data processing system that the disclosure provides
Model, and can be improved the safety of screening model, user data in data screening transmission process.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not
The disclosure can be limited.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the disclosure
Example, and together with specification for explaining the principles of this disclosure.
Fig. 1 is a kind of flow chart for data processing method that the embodiment of the present disclosure provides；
Fig. 2 is a kind of structural schematic diagram for data processing system that the embodiment of the present disclosure provides；
Fig. 3 is a kind of structural representation Fig. 1 for data processing system that the embodiment of the present disclosure provides.
Specific embodiment
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment
Described in embodiment do not represent all implementations consistent with this disclosure.On the contrary, they be only with it is such as appended
The example of the consistent device and method of some aspects be described in detail in claims, the disclosure.
Embodiment one
The embodiment of the present disclosure provides a kind of data processing method, as shown in Figure 1, the data processing method includes following step
It is rapid:
101, target user's screening request is obtained.
User's screening request refers to and determines corresponding target user data according to object filtering result.
For example, the selection result is what the credit data based on user generated, A, B, C, three the selection results, mesh can be divided into
Marking user's screening request is to screen corresponding user according to objective result A, and obtain the corresponding user data of the user.
In an alternative embodiment, before obtaining target user data screening request, comprising:
It obtains user's logon information and authenticates, after user's logon information passes through authentication process, obtain screening model；
When screening model meets preset model standard, screening model is carried out to close rule verifying；
After screening model is by closing rule verifying, determine that screening model is default screening model, closing rule verifying includes: model
Stability verifying and the verifying of model one-parameter.
In an alternative embodiment, screening model is obtained, comprising:
Input paramete information is obtained, input paramete information is based on index data type and correspondence in user credit database
Data value range determine；
Acquisition default data processing rule, the default data processing rule, including, the user credit evaluates data target
Change processing rule and the corresponding relationship between achievement data and the selection result；
Output parameter information is obtained, the output parameter information refers to, handles according to the default data processing rule defeated
User information data and the selection result data are exported after entering data screening rule；
According to input data screening rule, default data processing rule and output data screening rule, screening model is generated.
In an alternative embodiment, user credit evaluation data indexing processing rule, i.e., by the credit appraisal data of user
Indexing processing is carried out, indexing processing refers to and calculates by polymerization, logic analysis, data, will be at least a kind of in evaluation data
It is changed into the process of index from data.
In an alternative embodiment, user credit evaluation data indexing processing rule in index, it is necessary first to according to
The credit appraisal data at family, define a set of executable and desensitization data target, and this finger target value can be by extracting credit
The data of data processing equipment obtain in the following way: using clustering algorithm, carry out index value calculating to credit information data；
Using maximum value, minimum value-based algorithm, index value calculating is carried out to similar credit information；By the way of Y/N, to credit information into
Row index value calculates；Index value calculating is carried out to credit information result by pre-set threshold value；By pre-defining formula
Carry out index value calculating.
In an alternative embodiment, the corresponding relationship between achievement data and the selection result refers to according to default value strategy
Generate the indexing corresponding relationship that treated between achievement data and the selection result.
For example, user credit data include A, B, C three classes data, data indexing processing rule are evaluated according to user credit
Then, i.e., the user credit data of user are subjected to indexing processing, generate first achievement data, second achievement data；Wherein first index
Corresponding data value is 90, and the corresponding data value of second index is 80；Further according to the corresponding pass between achievement data and the selection result
System, determines that the selection result of the user is good.
In an alternative embodiment, output data only includes user identification field, such as ID, the essential information of user, e.g., enterprise
Title and the corresponding the selection result data of the user.
In an alternative embodiment, screening model meets preset model standard, including；
According to preset data indication range, the input data of screening model is verified；
When input data meets preset data indication range, data safety is carried out to the output data of screening model and is tested
Card；
When output data is verified by data safety, determine that screening model meets preset model standard.
In an alternative embodiment, closing rule verifying includes: model stability verifying and the verifying of model one-parameter；Wherein, model
Stability verifying.I.e. in model measurement operation implementation procedure, if manifest error and exception occur, or Infinite Cyclic occur
And the recursive operation of No way out, lead to not calculated result.
Wherein, model one-parameter verifying refers to that in order to protect the Information Security of reference device, therefore screening model is necessary
It is that comprehensive fitting is carried out according to multiple indexs as a result, other parameters are if model only one parameter works
False parameter, such as f (x, y, z)=a+b*x+c*y+d*z function, in the case where determining certain a and b coefficient and non-zero, c and
D coefficient is zero, it is meant that f (x, y, z)=a+b*x, by returning to f (x, y, z) value, it can the value of x is explicitly calculated,
So this model does not just have safety.The verifying of model one-parameter is exactly the generation in order to avoid problems.
In an alternative embodiment, screening model be can be gone according to user's actual need it is customized, it is customized to refer to foundation
Preset model as defined in the user credit evaluation data indexing processing rule and screening plant that credit data processing unit provides
Standard goes setting input paramete information, output parameter information and default data processing rule.
102, it according to target user data screening request, is asked based on the parsing target user data screening of default screening model
It asks, determines target indicator data；
In an alternative embodiment, target user data screening request is parsed according to default screening model, determines target indicator
Data, including；
Determine that input paramete information determines corresponding target indicator data classification and corresponding mesh according to default screening model
Mark index value；
According to target indicator data classification and corresponding target indicator numerical generation target indicator data.
For example, it is good user data that target user data screening request, which is acquisition the selection result,；At this time according to default
Screening model determines that the selection result is good corresponding including first index, second index；Specifically corresponding is first index, value interval
Value interval for 80 to 90, second index is 80 to 90；These parameters type and score value are generated into target indicator data.
103, according to target indicator data, target user's credit data is obtained.
User credit data refer to the user credit number that target indicator data are determined for compliance in user credit database
According to.
In an alternative embodiment, target user's credit number of target indicator data is determined for compliance in user credit database
According to, comprising:
Obtain user credit database, user credit database, including user's master data, user credit-data and right
Answer the selection result；
According to user credit database and default screening model, user's achievement data is generated；
User credit data are generated according to user's achievement data and user's master data；
According to user's achievement data, it is determined for compliance with the user credit data of the target indicator data.
Specific example is enumerated herein to be illustrated, and is that user A item rating is at 90 points to 100 points with goal index data；With
At 90 points to 100 points, A item rating generates family B item rating according to the violation information of user, and B item rating is owed according to user credit card
Money information generates, and user credit database includes the user information data of the first and second the third three users.
According to user credit database and default screening model, calculates user's achievement data and generate user credit data；
According to user credit database, the number violating the regulations of the violation information in party a subscriber A item rating is zero degree, B item rating
The debt number of middle user credit card debt information is zero；The credit data of party a subscriber is handled according to default screening model, is generated
User's achievement data of party a subscriber: party a subscriber A item rating is 100 points；B item rating is 100 points, meets goal index data；And
The user basic information of party a subscriber and user's achievement data are generated to the user credit data of party a subscriber.
According to user credit database, the number violating the regulations in violation information in party b subscriber A item rating is 1 time, is specifically existed
Beijing is violating the regulations, and the debt number in B item rating in user credit card debt information is zero；Second is handled according to default screening model
The credit data of user, generate user's achievement data of party b subscriber: party b subscriber A item rating is that 90 points of B item ratings are 100 points, symbol
Close goal index data；And the user basic information of party b subscriber and user's achievement data are generated to the user credit number of party b subscriber
According to.
According to user credit database, the number violating the regulations of the violation information in third user's A item rating is 3 times, respectively in north
Jing Shi, Shanghai City, Guangzhou are violating the regulations, and the debt number of user credit card debt information is twice, respectively in November in B item rating
With debt in December；The credit data of the third user, user's achievement data of the third user of generation: A are handled according to default screening model
Scoring is that 70 points of B item ratings are 80 points, does not meet goal index data；And by the user basic information of the third user and user's index
Data generate the user credit data of the third user.
At this point, determining that user's achievement data of party a subscriber and party b subscriber meets target indicator number according to target indicator data
According to, and obtain the user credit data of party a subscriber and party b subscriber.
In the user credit data being determined for compliance with according to target indicator data, the data of return only include user's basic number
According to not including specific user's evaluation data, so as to further protect the safety of data, in above-mentioned example, although with
It include specific violation information in the credit database of family, but we are handled by indexing, only obtain user's achievement data,
The credit information of user can not only be understood, the further protection safety of credit information.
In an alternative embodiment, user's achievement data only includes user's achievement data, does not include the credit appraisal number of user
According to by data desensitization process, to further protect the independence and safety of user credit evaluation data.
In an alternative embodiment, user's master data, including subscriber identity information, user contact infonnation etc..
104, according to screening model is preset, processing target user credit data generate target user data.
In alternative embodiment, processing target user credit data generate target user data, comprising: according to default screening
Achievement data in target user's credit data is converted to the selection result data by model, then by subscriber identity data, Yong Huji
Notebook data and corresponding the selection result data generate target user data.Such as target user's credit data, the identity including user
Information and achievement data, wherein achievement data includes A index and corresponding data value is 3；B index and corresponding data value are 2；According to
Default screening model, determines that the corresponding the selection result of A achievement data B achievement data is good；At this time according to subscriber identity information
Target user data is generated with the selection result.
The data processing method that the embodiment of the present disclosure provides, first user upload customized screening model, and in the screening
Model is by being used as default screening model after verifying；The data screening request of user is obtained again, it is true by default screening model
Fixed corresponding data target；Corresponding user credit data are obtained by the data target；At default screening model
It manages the user credit data and generates target user data.A variety of screenings can be compatible with by the data processing method that the disclosure provides
Model, and can be improved the safety of screening model, user data in data screening transmission process.
The disclosure when screening model is arranged, unlike the prior art in the data screening method that models again it is different, be
Go the data screening method of modelling, that is, by the customized setting screening model of user and by closing rule verifying and criterion validation,
Therefore the safety that can ensure that data while realizing compatible a variety of screening models, can flexibly be adapted to more business field
Scape.
The disclosure, can by the reference frame of screening index and data score value mode as data screening in screening model
To realize the output of standardized data screening result.
Embodiment two
Based on the data processing method that the corresponding embodiment of above-mentioned Fig. 1 provides, another embodiment of the disclosure provides a kind of number
According to processing system, which can be applied to the screening of user credit result data.
Referring to shown in Fig. 2, data processing system 20 provided in this embodiment, including data requirements device 201, data screening
Device 202 and credit data processing unit 203, in which:
Data requirements device 201 for obtaining user's input paramete information and default screening model, and generates user's screening
Request is sent to data screening device 202.
Data requirements device 201 is merely responsible for the transmission and standard screening result of upload and the screening requirements request of screening model
Output, do not interacted directly with credit data processing unit 203, ensure that the data of credit data processing unit 203 are only
Vertical property.
Data requirements device is used to provide the screening model that data screening selects and obtains user setting for user.
Data screening request originator of the data requirements device 201 as data processing system, by initiating logging request,
And by after the verifying of data screening device 202, can the customized setting of upload user screening model, and receive data screening dress
Set the operation result of 202 feedbacks.Data requirements device 201 is initiated after model running success to data screening device 202 simultaneously
Data screening request, and receive returning the result for data screening device 202.
Data screening device 202, for parsing target based on default screening model according to target user data screening request
User data screening request determines that target indicator Data Concurrent is sent to data storage device；
And target user data is generated after obtaining target user's achievement data and is sent to data requirements device.
In an alternative embodiment, data screening device 202, is also used to:
It obtains user's logon information and authenticates, after user's logon information passes through authentication process, obtain screening model；
When screening model meets preset model standard, screening model is carried out to close rule verifying；
After screening model is by closing rule verifying, determine that screening model is default screening model, conjunction rule verifying includes: mould
The verifying of type stability and the verifying of model one-parameter.
In an alternative embodiment, data screening device 202, is also used to,
Determine that input paramete information determines corresponding target indicator data classification and corresponding mesh according to default screening model
Mark index value；
And according to target indicator data classification and corresponding target indicator numerical generation target indicator data.
Data screening device 202 is screening model container, tester and actuator, while being also responsible for the registration of demand identity
And verifying.After data screening device 202 is verified by data requirements device 201, the request of demand device ready to receive, the request
It is requested including model load request, data screening, while pushing model load to data requirements device 201 upon receiving a request
The information such as request results, data screening result.
Data screening device 202 also initiates to request to credit data processing unit 203, and receives credit data processing unit
203 response results.The user's registration information and log audit information of 202 storage demand devices of data screening device, are not deposited
It stores up from the data information pushed with credit data processing unit 203 and the result information calculated by model.
Data screening device 202 does not access the data of credit data processing unit 203 directly, but by sending request,
Index calculating is carried out by device itself after credit data processing unit 203 receives request, and index result is returned into number
Model calculating is carried out according to screening plant 202.It is to have one since credit data processing unit 203 is calculated from data to indexing processing
The process of a data desensitization, therefore also protect the safety of 203 initial data of credit data processing unit.
Credit data processing unit 203, for generating target user's achievement data and being sent to according to target indicator data
Data screening device.
User's achievement data refers to user's index number that target indicator data are determined for compliance in user credit database
According to.
In an alternative embodiment, credit data processing unit 203 are also used to, and obtain user credit database, the user
Credit database, including user's master data, user credit evaluate data；
According to user credit database and default screening model, user's achievement data is generated；
According to user's achievement data and user's master data user credit data；
According to user's achievement data, it is determined for compliance with the user credit data of target indicator data.
Credit data processing unit 203, the credit data in user credit database for managing and storing user, letter
The data stored with data from third party or equipment itself, evaluation data, evaluation result, screening knot including user
Fruit.
The user right of credit data processing unit 203 can belong to third party and manage independently.
Credit data processing unit 203 is used to carry out the structure of data classification and data target for the credit data of storage
It builds, and these classification and data target can be disclosed to data requirements device 201 and data screening plant 202.Credit data processing
The request of 203, device reception data screening devices 202, and response results are sent to data screening device 202.Demand device is not
Any request can be sent to reference device, but demand device can receive the classification of reference device and the information of data target pushes away
It send.
The user credit data of credit data processing unit 203 are divided into can public data item, authorization data item, private data
?.It public data item and can be disclosed without authorization, such as information such as enterprise name, registion time.Authorization data item be
Authorized party is provided to the data item for being authorized to side in the case where allowing；Secret data item is can not public data item.
In an alternative embodiment, credit data processing unit 203, including, enterprise's credit investigation system.This enterprise's reference
System has collected essential information, financial information, operation and management information, administrative law enforcement information, intellectual property information of enterprise etc..This
When, credit data processing unit 203 carries out the building of data classification and data target, i.e., classification may include referring to enterprise classifying
Classify with information category；Enterprise classifying such as, is classified, the affiliated trade classification of enterprise by scope of the enterprise；Information category classification, such as above
Described essential information, financial information etc..
It in an alternative embodiment, can be into as shown in figure 3, actual use demand of the data requirements device 201 according to party in request
The independent deployment of row, the corresponding demand client of each demand device；
Cloud deployment way can be used in data screening device 202, and collection can be used in the screenability demand according to screening model
Group's mode, distributed variable-frequencypump improve the performance of equipment garbled data.Data screening device 202 is to data requirements device 201
It being managed collectively and being dispatched with 203 two sides resource of credit data processing unit, further increasing the property of data processing system
Energy；
Credit data processing unit 203 can be independent to dispose towards different data providings.
In an alternative embodiment, each equipment room of data processing system 20 is using SSL (Secure Socket Layer, peace
Full socket layer) encrypted transmission, to guarantee the data safety in transmission process.
The data processing system that the embodiment of the present disclosure provides, first user upload customized screening model, and in the screening
Model is by being used as default screening model after verifying；The data screening request of user is obtained again, it is true by default screening model
Fixed corresponding data target；Corresponding user credit data are obtained by the data target；At default screening model
It manages the user credit data and generates target user data.A variety of screenings can be compatible with by the data processing system that the disclosure provides
Model, and can be improved the safety of screening model, user data in data screening transmission process.
The data processing system that the embodiment of the present disclosure provides, by demand, screening, the processing function point during data screening
Not Tong Guo three data requirements device, data screening device and credit data processing unit equipment realize that power and responsibility separation can not only
Enough guarantee safety of the data in screening transmission process, the privacy of the screening model also protected simultaneously.
The disclosure passes through the data screening method for going modelling, can flexibly model loading and compliance verify, adaptation is more
Multi-service scene.
The disclosure, can by the reference frame of screening index and data score value mode as data screening in screening model
To realize the output of standardized data screening result.
Based on data processing method described in the corresponding embodiment of above-mentioned Fig. 1 and Fig. 2, the embodiment of the present disclosure is also provided
A kind of computer readable storage medium, for example, non-transitorycomputer readable storage medium can be read-only memory (English:
Read Only Memory, ROM), random access memory (English: Random Access Memory, RAM), CD-ROM, magnetic
Band, floppy disk and light data processing unit etc..It is stored with computer instruction on the storage medium, it is corresponding for executing above-mentioned Fig. 1
Data processing method described in embodiment, details are not described herein again.
Those skilled in the art will readily occur to its of the disclosure after considering specification and practicing disclosure disclosed herein
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the disclosure, these modifications, purposes or
Person's adaptive change follows the general principles of this disclosure and including the undocumented common knowledge in the art of the disclosure
Or conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the disclosure are by following
Claim is pointed out.
Claims (10)
1. a kind of data processing method, which is characterized in that be applied to data screening device, which comprises
Obtain target user data screening request, user's screening request, refer to determined according to object filtering result it is corresponding
Target user data；
The target user data screening request is parsed according to default screening model, determines target indicator data；
According to the target indicator data, target user's credit data is obtained, the user credit data refer to, believe in user
With the user credit data for being determined for compliance with the target indicator data in database；
According to the default screening model, target user's credit data is handled, generates target user data.
2. the method according to claim 1, wherein before the acquisition target user data screening request,
Include:
It obtains user's logon information and authenticates, after user's logon information passes through authentication process, obtain screening model；
When the screening model meets preset model standard, the screening model is carried out to close rule verifying；
After the screening model is by closing rule verifying, determine that the screening model is the default screening model, the conjunction rule
Verifying includes: model stability verifying and the verifying of model one-parameter.
3. according to the method described in claim 2, it is characterized in that, the acquisition screening model, comprising:
Input paramete information is obtained, the input paramete information is the type based on achievement data in the user credit database
And corresponding data value range determination；
Acquisition default data processing rule, the default data processing rule, including, the user credit evaluates data indexing
Processing rule and the corresponding relationship between the achievement data and the selection result；
Output parameter information is obtained, the output parameter information refers to, handles according to the default data processing rule described defeated
User information data and the selection result data are exported after entering parameter information；
According to the input data screening rule, the default data processing rule and the output data screening rule, generate
The screening model.
4. according to the method described in claim 2, it is characterized in that, described when the screening model meets preset model standard
When, including；
According to preset data indication range, the input data of the screening model is verified；
When the input data meets the preset data indication range, data are carried out to the output data of the screening model
Safety verification；
When the output data is verified by data safety, determine that the screening model meets preset model standard.
5. the method according to claim 1, wherein the basis, which presets screening model, parses the target user
Data screening request, determines target indicator data, including；
Determine that the input paramete information determines corresponding target indicator data classification and correspondence according to the default screening model
Target indicator numerical value；
According to the target indicator data classification and corresponding target indicator numerical generation target indicator data.
6. the method according to claim 1, wherein described be determined for compliance with the mesh in user credit database
Mark target user's credit data of achievement data, comprising:
It obtains user credit database, the user credit database, including user's master data, user credit and evaluates data；
According to the user credit database and default screening model, user's achievement data is generated；
The user credit data are generated according to user's achievement data and user's master data；
According to user's achievement data, it is determined for compliance with the user credit data of the target indicator data.
7. a kind of data processing system characterized by comprising at data requirements device, data screening device and credit data
Manage device；
The data requirements device is sent to the data for obtaining user's input paramete information and generating user's screening request
Screening plant；
The data screening device, for parsing institute based on default screening model according to the target user data screening request
Target user data screening request is stated, determines that target indicator Data Concurrent is sent to the data storage device；
And target user data is generated after obtaining target user's achievement data and is sent to the data requirements device；
The credit data processing unit, for generating target user's achievement data and sending according to the target indicator data
To the data screening device, user's achievement data refers to that the target is determined for compliance in user credit database to be referred to
Mark user's achievement data of data.
8. system according to claim 7, which is characterized in that the data screening device is also used to:
It obtains user's logon information and authenticates, after user's logon information passes through authentication process, obtain screening model；
When the screening model meets preset model standard, the screening model is carried out to close rule verifying；
After the screening model is by closing rule verifying, determine that the screening model is the default screening model, the conjunction rule
Verifying includes: model stability verifying and the verifying of model one-parameter.
9. system according to claim 7, which is characterized in that the data screening device is also used to,
Determine that the input paramete information determines corresponding target indicator data classification and correspondence according to the default screening model
Target indicator numerical value；
And according to the target indicator data classification and corresponding target indicator numerical generation target indicator data.
10. system according to claim 7, which is characterized in that the credit data processing unit is also used to,
It obtains user credit database, the user credit database, including user's master data, user credit and evaluates data；
According to the user credit database and the default screening model, user's achievement data is generated；
User credit data are generated according to user's achievement data and user's master data；
According to user's achievement data, it is determined for compliance with the user credit data of the target indicator data.
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