CN106157138A - Group belonging to a kind of bank transaction data determines method and device - Google Patents
Group belonging to a kind of bank transaction data determines method and device Download PDFInfo
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- CN106157138A CN106157138A CN201610791385.7A CN201610791385A CN106157138A CN 106157138 A CN106157138 A CN 106157138A CN 201610791385 A CN201610791385 A CN 201610791385A CN 106157138 A CN106157138 A CN 106157138A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/02—Banking, e.g. interest calculation or account maintenance
Abstract
The invention provides group belonging to a kind of bank transaction data and determine method and device, relate to banking system technical field.Method includes: obtains the business scenario number of its correspondence from business handling instructs, determines each first group's class-mark that business scenario number is corresponding；According to the first group's class classifying rules pre-set, determine the transaction data attribute that each first group's class is comprised, and value；According to the first group's subclass classifying rules pre-set, determine each first group's subclass of each first group's apoplexy due to endogenous wind, and determine each first group's subclass residing for transaction data property value of user；According to the scene application attribution rule pre-set, determine corresponding business scenario number, first group's class-mark and the first group's subclass number of business handling instruction corresponding respectively apply property value；Thus finishing service handles the business corresponding to instruction.The problem that the present invention can solve currently cannot to realize the quickly response of the business scenario needing multiple transaction data attribute.
Description
Technical field
The present invention relates to banking system technical field, particularly relate to group belonging to a kind of bank transaction data determine method and
Device.
Background technology
Currently, and Commercial Bank Marketing theory theoretical according to current " bank reengineering " is under Vehicles Collected from Market environment, right
For China's commercial banks, doing customer segmentation work well most important, it is related to the long term growth of banking establishments.Client is entered
Row accurately segmentation, demand according to different user colony carry out differentiated service have become as current bank adapt to the market competition,
Strengthen a main trend and the inevitable choice of competitive advantage.
Current customer segmentation work is the application under particular transaction scene to specific data attribute, and such as occupation is
The account of the client of teacher's (specific data attribute) handles fixed deposit in Teacher's Day, enjoys deposit rate and improves 0.5%
Movable (particular transaction scene).But, currently in banking system, it is only capable of and carries out the most single transaction data attribute answering
With, such as occupation, monthly income, nationality, customer grade etc., lack the application of the group that each transaction data attribute is formed, when needing
When the group to be formed certain several transaction data attribute applies, need to re-start group's configuration, and through certain
System test after, application can be put into.Therefore, it is impossible to quickly respond in bank transaction performs.Visible, currently
Lack determination strategy and the processing method of group belonging to bank transaction data, the place to the group that transaction data attribute is formed
Manage relatively complicated complexity.
Summary of the invention
Embodiments of the invention provide group belonging to a kind of bank transaction data to determine method and device, to solve current silver
The most single transaction data attribute is only applied by row system, it is impossible to apply the group that multiple transaction data attribute is formed
Group, it is impossible to the problem realizing needing the quickly response of the business scenario of multiple transaction data attributes.
For reaching above-mentioned purpose, the present invention adopts the following technical scheme that
Group belonging to a kind of bank transaction data determines method, including:
Receive the business handling instruction that user triggers, and from described business handling instructs, obtain described business handling instruction
Corresponding business scenario number；
Determine each first group's class that described business scenario number is corresponding, and obtain first group's class of each first group's class
Number；
According to the first group's class classifying rules pre-set, determine that the transaction data that each first group's class is comprised belongs to
Property, and determine the transaction data property value of the user of described business handling instruction correspondence；
According to the first group's subclass classifying rules pre-set, determine each first group's subclass of each first group's apoplexy due to endogenous wind
And determine according to the transaction data property value of user corresponding to described business handling instruction residing for the transaction data property value of user
Each first group's subclass, and obtain each first group's subclass number；
According to the scene application attribution rule pre-set, determine business scenario number corresponding to described business handling instruction,
First group's class-mark and first group's subclass number corresponding respectively apply property value；
From described each application property value, obtain maximum or the minima of described each application property value, and according to described
Big value or minima complete the business corresponding to described business handling instruction.
Concrete, described in first group's class classifying rules of pre-setting, including each first group's class pre-set
First group's class-mark, and each transaction data attribute that each first group's class-mark is corresponding.
Concrete, described in first group's subclass classifying rules of pre-setting, including each first group's pre-set
First group's subclass number of class, first group's class-mark that each first group's subclass number is affiliated, and each first group's subclass number is right
The span of each transaction data attribute answered.
Concrete, described in the scene application attribution rule that pre-sets, including each business scenario number pre-set, each industry
First group's class-mark that business scene number is corresponding, first group's subclass number that each first group's class-mark is corresponding, and each first group
The application property value that subclass number is corresponding.
Group belonging to a kind of bank transaction data determines device, including:
Business handling instruction reception unit, for receiving the business handling instruction that user triggers, and from described business handling
Instruction obtains the business scenario number that described business handling instruction is corresponding；
First group's class determines unit, for determining each first group's class that described business scenario number is corresponding, and obtains
First group's class-mark of each first group's class；
Transaction data attribute determining unit, for according to the first group's class classifying rules pre-set, determining each first
The transaction data attribute that group's class is comprised, and determine the transaction data property value of the user of described business handling instruction correspondence；
First group's subclass determines unit, for according to first group's subclass classifying rules of pre-setting, determines each the
Each first group's subclass of one group's apoplexy due to endogenous wind the transaction data property value according to the user of described business handling instruction correspondence are true
Determine each first group's subclass residing for the transaction data property value of user, and obtain each first group's subclass number；
Application property value determines unit, for according to the scene application attribution rule pre-set, determining that described business is done
What corresponding business scenario number, first group's class-mark and the first group's subclass number of reason instruction was corresponding respectively applies property value；
Service Processing Unit, for obtaining the maximum or of described each application property value from described each application property value
Little value, and complete the business corresponding to described business handling instruction according to described maximum or minima.
Concrete, in described transaction data attribute determining unit the first group's class classifying rules pre-set, including
First group's class-mark of each first group's class pre-set, and each transaction data attribute that each first group's class-mark is corresponding.
Concrete, described first group's subclass determines the first group's subclass classifying rules pre-set in unit, bag
Include first group's subclass number of each first group's subclass pre-set, first group's class that each first group's subclass number is affiliated
Number, and the span of each transaction data attribute corresponding to each first group's subclass number.
Concrete, described application property value determines the scene application attribution rule pre-set in unit, including in advance
The each business scenario number arranged, first group's class-mark that each business scenario number is corresponding, first group that each first group's class-mark is corresponding
Group subclass number, and the application property value that each first group's subclass number is corresponding.
Group belonging to a kind of bank transaction data that the embodiment of the present invention provides determines method and device, is receiving user
During the business handling instruction triggered, the business scenario number that business handling instruction is corresponding can be obtained from business handling instructs；Really
Determine each first group's class that business scenario number is corresponding, and obtain first group's class-mark of each first group's class；According to setting in advance
The first group's class classifying rules put, determines the transaction data attribute that each first group's class is comprised, and determines that business handling refers to
The transaction data property value of the user that order is corresponding；According to the first group's subclass classifying rules pre-set, determine each first group
Organize each first group's subclass of apoplexy due to endogenous wind and determine user's according to the transaction data property value of the user of business handling instruction correspondence
Each first group's subclass residing for transaction data property value, and obtain each first group's subclass number；According to the scene pre-set
Application attribution rule, determines business scenario number, first group's class-mark and first group's subclass number that business handling instruction is corresponding
Corresponding respectively applies property value；Maximum or the minima of each application property value is obtained from each application property value, and according to
Maximum or minima finishing service handle the business corresponding to instruction.Visible, the present invention is by the first group pre-set
Class classifying rules, first group's subclass classifying rules and scene application attribution rule can be quickly to business handling instructions
Transaction data attribute group classifies, and is rapidly completed the business corresponding to business handling instruction, solves current bank system
The most single transaction data attribute is only applied by system, it is impossible to apply the group that multiple transaction data attribute is formed, nothing
The problem that method realizes needing the quickly response of the business scenario of multiple transaction data attributes.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
In having technology to describe, the required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, also may be used
To obtain other accompanying drawing according to these accompanying drawings.
Group belonging to a kind of bank transaction data that Fig. 1 provides for the embodiment of the present invention determines the flow chart of method；
Group belonging to a kind of bank transaction data that Fig. 2 provides for the embodiment of the present invention determines the structural representation of device.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments wholely.Based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under not making creative work premise
Embodiment, broadly falls into the scope of protection of the invention.
As it is shown in figure 1, the embodiment of the present invention provides group belonging to a kind of bank transaction data to determine method, including:
The business handling instruction that step 101, reception user trigger, and obtain described business from described business handling instructs
Handle the business scenario number that instruction is corresponding.
Step 102, determine each first group's class that described business scenario number is corresponding, and obtain the of each first group's class
One group's class-mark.
First group's class classifying rules that step 103, basis pre-set, determines the transaction that each first group's class is comprised
Data attribute, and determine the transaction data property value of the user of described business handling instruction correspondence.
First group's subclass classifying rules that step 104, basis pre-set, determines each the first of each first group's apoplexy due to endogenous wind
Group's subclass the transaction data property value according to the user of described business handling instruction correspondence determine that the transaction data of user belongs to
The property each first group's subclass residing for value, and obtain each first group's subclass number.
The scene application attribution rule that step 105, basis pre-set, determines the business that described business handling instruction is corresponding
What scene number, first group's class-mark and first group's subclass number were corresponding respectively applies property value.
Step 106, the maximum obtaining described each application property value from described each application property value or minima, and root
The business corresponding to described business handling instruction is completed according to described maximum or minima.
Group belonging to a kind of bank transaction data that the embodiment of the present invention provides determines method, is receiving what user triggered
During business handling instruction, the business scenario number that business handling instruction is corresponding can be obtained from business handling instructs；Determine business
Each first group's class that scene number is corresponding, and obtain first group's class-mark of each first group's class；According to pre-set
One group's class classifying rules, determines the transaction data attribute that each first group's class is comprised, and determines business handling instruction correspondence
The transaction data property value of user；According to the first group's subclass classifying rules pre-set, determine each first group's apoplexy due to endogenous wind
Each first group's subclass and determine the number of deals of user according to the transaction data property value of user corresponding to business handling instruction
According to each first group's subclass residing for property value, and obtain each first group's subclass number；Scene application according to pre-setting belongs to
Property rule, determine corresponding to business scenario number corresponding to business handling instruction, first group's class-mark and first group's subclass number
Respectively apply property value；Maximum or the minima of each application property value is obtained from each application property value, and according to maximum
Or minima finishing service handles the business corresponding to instruction.Visible, the present invention is classified by the first group's class pre-set
The number of deals that business handling can quickly be instructed by rule, first group's subclass classifying rules and scene application attribution rule
According to attribute, group classifies, and is rapidly completed the business corresponding to business handling instruction, solves current bank system the most right
The most single transaction data attribute is applied, it is impossible to apply the group that multiple transaction data attribute is formed, it is impossible to realize
The problem needing the quickly response of the business scenario of multiple transaction data attribute.
Concrete, in above-mentioned steps 103 the first group's class classifying rules pre-set, including each the pre-set
First group's class-mark of one group's class, and each transaction data attribute that each first group's class-mark is corresponding.
Such as, the setting up procedure of this first group classifying rules can be such that generally, a business handling instruction
Involved transaction data attribute can have a lot, the occupation of such as user, monthly income, nationality, customer grade, sex, the birthday,
Age etc..And can be first a lot of group's classes by numerous transaction data Attribute transposition, such as transaction data attribute has
Many kinds of A1, A2, A3, A4, B1, B2, B3, C1, C2, C3, D1, D2, is divided into the first group class SS1 (SS1 by A1, A2, B3, D2
It is first group's class-mark), A3, B1, B3, C2 are divided into first group's class SS2 (SS2 is first group's class-mark).This type of
Dividing mode is to be combined by each transaction data attribute, and such as occupation, monthly income, nationality etc. all can independent assortments.
Concrete, in above-mentioned steps 104, the first group's subclass classifying rules pre-set, can include setting in advance
First group's subclass number of each first group's subclass put, first group's class-mark that each first group's subclass number is affiliated, and respectively
The span of each transaction data attribute that first group's subclass number is corresponding.
Such as, the setting up procedure of this first group subclass classifying rules can be such that generally, in each first group
Apoplexy due to endogenous wind, can limit the span of different transaction data attribute.Such as, in first above-mentioned group's class SS1, when A1 is more than
0 and A2 less than 6 time, first group's subclass SS1-1 (SS1-1 is first group's subclass number) can be divided；Example again
As, when A1 more than 1, A2 more than 8 and B3 equal to 10, can divide the most not only first group's subclass SS1-2 (SS1-2 be but also
One first group's subclass number).Dividing mode herein can limit concrete transaction data attribute, and such as occupation is teacher
(numerical value specifically can be used to represent occupation, such as 00 represents teacher, 01 expression police, 02 expression doctor etc.), monthly income is big
In 10,000 yuan, the age is less than 40 years old, and sex is women, then the object of this first group subclass is monthly income more than 10,000 yuan
The age schoolmarm less than 40 years old.
Concrete, in above-mentioned steps 105, the scene application attribution rule that this pre-sets, can include pre-setting
Each business scenario number, first group's class-mark that each business scenario number is corresponding, each first group's class-mark corresponding first group son
Class-mark, and the application property value that each first group's subclass number is corresponding.
Such as, the setting up procedure of this scene application attribution rule can be such that generally, corresponding to different first
Group's subclass, can arrange different application property values.
As shown in table 1 below, have recorded business scenario number, first group's class-mark, first group's subclass number and each respectively
The application property value that one group's subclass number is corresponding:
Table 1:
| Business scenario number | First group's class-mark | First group's subclass number | Application property value |
| CJ0001 | SS1 | SS1-1 | 0.6 |
| CJ0001 | SS1 | SS1-2 | 0.7 |
| CJ0001 | SS1 | SS1-3 | 0.5 |
This application property value represents the numerical value of required application in the business that business scenario number is corresponding.Such as, should
CJ0001 represents the business scenario number of a preferential activity of arrangement fee, and the transaction data attribute that SS1 apoplexy due to endogenous wind includes
For occupation, age, nationality；In SS1-1 subclass occupation be teacher, the age for more than 45 years old, nationality for China；And apply property value
0.6 represents that arrangement fee makes a call to 6 foldings.Therefore, target provides bank to borrow for the China's Teacher being more than 45 years old for the age herein
The preferential activity of the money fee, and preferential dynamics is that arrangement fee makes a call to 6 foldings.It is only an instantiation, the most herein
Repeat other instantiations again.
In above-mentioned steps 106, from each application property value, obtain maximum or the minima of described each application property value,
And complete the business corresponding to described business handling instruction according to described maximum or minima, specifically can be such as:
When the user that business handling instruction is corresponding is in multiple first group's subclass or first group's class, can select more
Good application property value.SS1-1 subclass as escribed above: occupation be teacher, the age for more than 45 years old, nationality for Chinese, it is silver-colored
The preferential movable arrangement fee of row points makes a call to 6 foldings (application property value is 0.6).And having SS1-2 subclass: the moon is received
Enter less than 10,000, family housing makes a call to 7 foldings (application genus less than 1 set, its arrangement fee preferential activity arrangement fee
Property value is 0.7).For meeting a user of two subclasses, then two application property values can be compared, herein
Can select minima, i.e. 0.6 is less than 0.7, then select 0.6, and preferential dynamics is bigger.Certainly, from the point of view of same user, it can
To belong to more first group's subclass, then, when selecting application property value, maximum or minima can be selected to complete accordingly
Business.Such as, in preferential business on sale, the minima applying property value can be selected (the most described above, it is possible to sound the night watches big
Discount)；The most such as, in providing a user with loan transaction, can select to apply the maximum of property value, the most same user
Meet the condition (relating to 3 first group's subclasses) of loan 100,000,200,000,300,000 simultaneously, then can select maximum 300,000 work
For its loan limit.What deserves to be explained is, the application property value in this step 106 selects maximum or minima needs basis
Different business scenarios pre-sets, and here is omitted.
Corresponding to the embodiment of the method shown in above-mentioned Fig. 1, as in figure 2 it is shown, the embodiment of the present invention provides a kind of bank transaction
Belonging to data, group determines device, including:
Business handling instruction reception unit 201, for receiving the business handling instruction that user triggers, and does from described business
Reason instruction obtains the business scenario number that described business handling instruction is corresponding.
First group's class determines unit 202, for determining each first group's class that described business scenario number is corresponding, and obtains
Take first group's class-mark of each first group's class.
Transaction data attribute determining unit 203, for according to first group's class classifying rules of pre-setting, determines each the
The transaction data attribute that one group's class is comprised, and determine the transaction data attribute of the user of described business handling instruction correspondence
Value.
First group's subclass determines unit 204, for according to the first group's subclass classifying rules pre-set, determines each
Each first group's subclass of first group's apoplexy due to endogenous wind the transaction data property value of the user according to described business handling instruction correspondence
Determine each first group's subclass residing for the transaction data property value of user, and obtain each first group's subclass number.
Application property value determines unit 205, for according to the scene application attribution rule pre-set, determining described business
Handle instruction corresponding business scenario number, first group's class-mark and first group's subclass number corresponding respectively apply property value.
Service Processing Unit 206, for obtaining the maximum of described each application property value from described each application property value
Or minima, and complete the business corresponding to described business handling instruction according to described maximum or minima.
Concrete, in described transaction data attribute determining unit 203 the first group's class classifying rules pre-set, bag
Include first group's class-mark of each first group's class pre-set, and each transaction data genus that each first group's class-mark is corresponding
Property.
Concrete, described first group's subclass determines the first group's subclass classifying rules pre-set in unit 204,
Including first group's subclass number of each first group's subclass pre-set, first group's class that each first group's subclass number is affiliated
Number, and each transaction data property value that each first group's subclass number is corresponding.
Concrete, described application property value determines the scene application attribution rule pre-set in unit 205, including pre-
The each business scenario number first arranged, first group's class-mark that each business scenario number is corresponding, each first group's class-mark corresponding first
Group's subclass number, and the application property value that each first group's subclass number is corresponding.
What deserves to be explained is, group belonging to a kind of bank transaction data that the embodiment of the present invention provides determines the concrete of device
Implementation may refer to above-mentioned embodiment of the method, and here is omitted.
Group belonging to a kind of bank transaction data that the embodiment of the present invention provides determines device, is receiving what user triggered
During business handling instruction, the business scenario number that business handling instruction is corresponding can be obtained from business handling instructs；Determine business
Each first group's class that scene number is corresponding, and obtain first group's class-mark of each first group's class；According to pre-set
One group's class classifying rules, determines the transaction data attribute that each first group's class is comprised, and determines business handling instruction correspondence
The transaction data property value of user；According to the first group's subclass classifying rules pre-set, determine each first group's apoplexy due to endogenous wind
Each first group's subclass and determine the number of deals of user according to the transaction data property value of user corresponding to business handling instruction
According to each first group's subclass residing for property value, and obtain each first group's subclass number；Scene application according to pre-setting belongs to
Property rule, determine corresponding to business scenario number corresponding to business handling instruction, first group's class-mark and first group's subclass number
Respectively apply property value；Maximum or the minima of each application property value is obtained from each application property value, and according to maximum
Or minima finishing service handles the business corresponding to instruction.Visible, the present invention is classified by the first group's class pre-set
The number of deals that business handling can quickly be instructed by rule, first group's subclass classifying rules and scene application attribution rule
According to attribute, group classifies, and is rapidly completed the business corresponding to business handling instruction, solves current bank system the most right
The most single transaction data attribute is applied, it is impossible to apply the group that multiple transaction data attribute is formed, it is impossible to realize
The problem needing the quickly response of the business scenario of multiple transaction data attribute.
Those skilled in the art are it should be appreciated that embodiments of the invention can be provided as method, system or computer program
Product.Therefore, the reality in terms of the present invention can use complete hardware embodiment, complete software implementation or combine software and hardware
Execute the form of example.And, the present invention can use at one or more computers wherein including computer usable program code
The upper computer program product implemented of usable storage medium (including but not limited to disk memory, CD-ROM, optical memory etc.)
The form of product.
The present invention is with reference to method, equipment (system) and the flow process of computer program according to embodiments of the present invention
Figure and/or block diagram describe.It should be understood that can the most first-class by computer program instructions flowchart and/or block diagram
Flow process in journey and/or square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided
Instruction arrives the processor of general purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device to produce
A raw machine so that the instruction performed by the processor of computer or other programmable data processing device is produced for real
The device of the function specified in one flow process of flow chart or multiple flow process and/or one square frame of block diagram or multiple square frame now.
These computer program instructions may be alternatively stored in and computer or other programmable data processing device can be guided with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in this computer-readable memory produces and includes referring to
Make the manufacture of device, this command device realize at one flow process of flow chart or multiple flow process and/or one square frame of block diagram or
The function specified in multiple square frames.
These computer program instructions also can be loaded in computer or other programmable data processing device so that at meter
Perform sequence of operations step on calculation machine or other programmable devices to produce computer implemented process, thus at computer or
The instruction performed on other programmable devices provides for realizing at one flow process of flow chart or multiple flow process and/or block diagram one
The step of the function specified in individual square frame or multiple square frame.
The present invention applies specific embodiment principle and the embodiment of the present invention are set forth, above example
Explanation be only intended to help to understand method and the core concept thereof of the present invention；Simultaneously for one of ordinary skill in the art,
According to the thought of the present invention, the most all will change, in sum, in this specification
Hold and should not be construed as limitation of the present invention.
Claims (8)
1. group belonging to bank transaction data determines method, it is characterised in that including:
Receive the business handling instruction that user triggers, and from described business handling instructs, obtain described business handling instruction correspondence
Business scenario number；
Determine each first group's class that described business scenario number is corresponding, and obtain first group's class-mark of each first group's class；
According to the first group's class classifying rules pre-set, determine the transaction data attribute that each first group's class is comprised, and
Determine the transaction data property value of the user of described business handling instruction correspondence；
According to the first group's subclass classifying rules pre-set, determine each first group's subclass root of each first group's apoplexy due to endogenous wind
Determine residing for the transaction data property value of user according to the transaction data property value of user corresponding to described business handling instruction is each
First group's subclass, and obtain each first group's subclass number；
According to the scene application attribution rule pre-set, determine business scenario number corresponding to described business handling instruction, first
Group's class-mark and first group's subclass number corresponding respectively apply property value；
Maximum or the minima of described each application property value is obtained from described each application property value, and according to described maximum
Or minima completes the business corresponding to described business handling instruction.
Group belonging to bank transaction data the most according to claim 1 determines method, it is characterised in that described in pre-set
First group's class classifying rules, including first group's class-mark of each first group's class pre-set, and each first group
Each transaction data attribute that class-mark is corresponding.
Group belonging to bank transaction data the most according to claim 2 determines method, it is characterised in that described in pre-set
First group's subclass classifying rules, including first group's subclass number of each first group's subclass pre-set, each first group
The group affiliated first group's class-mark of subclass number, and the value model of each transaction data attribute corresponding to each first group's subclass number
Enclose.
Group belonging to bank transaction data the most according to claim 3 determines method, it is characterised in that described in pre-set
Scene application attribution rule, including each business scenario number pre-set, first group's class-mark that each business scenario number is corresponding,
First group's subclass number that each first group's class-mark is corresponding, and the application property value that each first group's subclass number is corresponding.
5. group belonging to bank transaction data determines device, it is characterised in that including:
Business handling instruction reception unit, for receiving the business handling instruction that user triggers, and instructs from described business handling
The business scenario number that middle acquisition described business handling instruction is corresponding；
First group's class determines unit, for determining each first group's class that described business scenario number is corresponding, and obtains each the
First group's class-mark of one group's class；
Transaction data attribute determining unit, for according to the first group's class classifying rules pre-set, determining each first group
The transaction data attribute that class is comprised, and determine the transaction data property value of the user of described business handling instruction correspondence；
First group's subclass determines unit, for according to the first group's subclass classifying rules pre-set, determining each first group
Organize each first group's subclass of apoplexy due to endogenous wind and determine use according to the transaction data property value of the user of described business handling instruction correspondence
Each first group's subclass residing for the transaction data property value at family, and obtain each first group's subclass number；
Application property value determines unit, for according to the scene application attribution rule pre-set, determining that described business handling refers to
What corresponding business scenario number, first group's class-mark and the first group's subclass number of order was corresponding respectively applies property value；
Service Processing Unit, for obtaining maximum or the minimum of described each application property value from described each application property value
Value, and complete the business corresponding to described business handling instruction according to described maximum or minima.
Group belonging to bank transaction data the most according to claim 5 determines device, it is characterised in that described transaction data
The first group's class classifying rules pre-set in attribute determining unit, including the first of each first group's class pre-set
Group's class-mark, and each transaction data attribute that each first group's class-mark is corresponding.
Group belonging to bank transaction data the most according to claim 6 determines device, it is characterised in that described first group
Subclass determines the first group's subclass classifying rules pre-set in unit, including each first group's subclass pre-set
First group's subclass number, first group's class-mark that each first group's subclass number is affiliated, and each first group's subclass number are corresponding
The span of each transaction data attribute.
Group belonging to bank transaction data the most according to claim 7 determines device, it is characterised in that described application attribute
Value determines the scene application attribution rule pre-set in unit, including each business scenario number pre-set, each business field
First group's class-mark that scape number is corresponding, first group's subclass number that each first group's class-mark is corresponding, and each first group's subclass
Number corresponding application property value.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610791385.7A CN106157138A (en) | 2016-08-31 | 2016-08-31 | Group belonging to a kind of bank transaction data determines method and device |
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| CN201610791385.7A CN106157138A (en) | 2016-08-31 | 2016-08-31 | Group belonging to a kind of bank transaction data determines method and device |
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| Publication Number | Publication Date |
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| CN106157138A true CN106157138A (en) | 2016-11-23 |
Family
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| CN201610791385.7A Pending CN106157138A (en) | 2016-08-31 | 2016-08-31 | Group belonging to a kind of bank transaction data determines method and device |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108122113A (en) * | 2017-12-20 | 2018-06-05 | 深圳乐信软件技术有限公司 | A kind of rate preparation method, device, server and storage medium |
| CN110377522A (en) * | 2019-07-22 | 2019-10-25 | 中国工商银行股份有限公司 | The test method for scene of trading, calculates equipment and medium at device |
| CN111179088A (en) * | 2019-12-31 | 2020-05-19 | 中国银行股份有限公司 | Information processing method and device |
| CN111400313A (en) * | 2020-02-27 | 2020-07-10 | 中国建设银行股份有限公司 | Method and device for processing request |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105260934A (en) * | 2015-11-11 | 2016-01-20 | 中国建设银行股份有限公司 | Calculation method of line of credit and system thereof |
| CN105303440A (en) * | 2015-10-12 | 2016-02-03 | 北银消费金融有限公司 | Consumer credit application evaluation system and realizing method thereof |
| CN105427168A (en) * | 2015-12-10 | 2016-03-23 | 中国联合网络通信集团有限公司 | Loan assessment method and system |
-
2016
- 2016-08-31 CN CN201610791385.7A patent/CN106157138A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105303440A (en) * | 2015-10-12 | 2016-02-03 | 北银消费金融有限公司 | Consumer credit application evaluation system and realizing method thereof |
| CN105260934A (en) * | 2015-11-11 | 2016-01-20 | 中国建设银行股份有限公司 | Calculation method of line of credit and system thereof |
| CN105427168A (en) * | 2015-12-10 | 2016-03-23 | 中国联合网络通信集团有限公司 | Loan assessment method and system |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108122113A (en) * | 2017-12-20 | 2018-06-05 | 深圳乐信软件技术有限公司 | A kind of rate preparation method, device, server and storage medium |
| CN108122113B (en) * | 2017-12-20 | 2020-11-10 | 深圳乐信软件技术有限公司 | Rate configuration method, device, server and storage medium |
| CN110377522A (en) * | 2019-07-22 | 2019-10-25 | 中国工商银行股份有限公司 | The test method for scene of trading, calculates equipment and medium at device |
| CN110377522B (en) * | 2019-07-22 | 2023-10-03 | 中国工商银行股份有限公司 | Transaction scene testing method, device, computing equipment and medium |
| CN111179088A (en) * | 2019-12-31 | 2020-05-19 | 中国银行股份有限公司 | Information processing method and device |
| CN111179088B (en) * | 2019-12-31 | 2023-09-26 | 中国银行股份有限公司 | Information processing method and device |
| CN111400313A (en) * | 2020-02-27 | 2020-07-10 | 中国建设银行股份有限公司 | Method and device for processing request |
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