CN108376366A - A kind of operation method, storage medium and the server of anti money washing model - Google Patents
A kind of operation method, storage medium and the server of anti money washing model Download PDFInfo
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- CN108376366A CN108376366A CN201810121936.8A CN201810121936A CN108376366A CN 108376366 A CN108376366 A CN 108376366A CN 201810121936 A CN201810121936 A CN 201810121936A CN 108376366 A CN108376366 A CN 108376366A
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Abstract
The present invention relates to Financial Information processing technology fields, propose a kind of operation method, storage medium and the server of anti money washing model.The operation method includes：Whether when financial monitoring system operations anti money washing model, it includes that the anti money washing model need to target intermediate result to be used to judge that preset intermediate result data is concentrated；If it includes the target intermediate result that the intermediate result data, which is concentrated, is concentrated from the intermediate result data and obtain the target intermediate result, and the target intermediate result is substituted into the anti money washing model, the output result of the anti money washing model is calculated；Wherein, the intermediate result data concentrates each intermediate result for including to be generated by executing preset data processing task, and the data processing task is arranged according to the operation demand of each anti money washing model.When needing to run a large amount of anti money washing model, this method can effectively reduce calculation amount, to reduce burden when system operations anti money washing model, improve system performance.
Description
Technical field
The present invention relates to Financial Information processing technology field more particularly to a kind of operation method of anti money washing model, storages
Medium and server.
Background technology
As China's financial market is gradually ripe, country payes attention to anti money washing supervision further, and existing financial institution establishes
Anti money washing mechanism identifies the anti money washing risk during financial transaction.The mode taken at present is usually：In financial monitoring system
A large amount of anti money washing model is set to identify that every transaction data whether there is certain money laundering risks, and if so, will on system
It is marked.However, due to the complexity of financial transaction, leading to generally require a large amount of anti money washing model could be from a large amount of
Various money laundering means are identified in transaction data, the quantity so as to cause anti money washing model in system is extremely more, and system exists
It is born greatly when these anti money washing models of operation, is easy to wear the performance of system down.
Invention content
In view of this, an embodiment of the present invention provides a kind of operation method, storage medium and the server of anti money washing model,
Burden when system operations anti money washing model can be effectively reduced, system performance is improved.
The embodiment of the present invention in a first aspect, provide a kind of operation method of anti money washing model, including：
When financial monitoring system operations anti money washing model, judge that whether preset intermediate result data is concentrated comprising described
Anti money washing model needs target intermediate result to be used；
If it includes the target intermediate result that the intermediate result data, which is concentrated, obtained from intermediate result data concentration
The target intermediate result, the intermediate result data is taken to concentrate each intermediate result for including by executing at preset data
Reason task generates, and the data processing task is arranged according to the operation demand of each anti money washing model；
The target intermediate result got is substituted into the anti money washing model, the anti money washing model is calculated
Export result.
The second aspect of the embodiment of the present invention, provides a kind of computer readable storage medium, described computer-readable to deposit
Storage media is stored with computer-readable instruction, and such as the embodiment of the present invention is realized when the computer-readable instruction is executed by processor
First aspect propose anti money washing model operation method the step of.
The third aspect of the embodiment of the present invention, provides a kind of server, including memory, processor and is stored in institute
The computer-readable instruction that can be run in memory and on the processor is stated, the processor executes described computer-readable
Following steps are realized when instruction：
When financial monitoring system operations anti money washing model, judge that whether preset intermediate result data is concentrated comprising described
Anti money washing model needs target intermediate result to be used；
If it includes the target intermediate result that the intermediate result data, which is concentrated, obtained from intermediate result data concentration
The target intermediate result, the intermediate result data is taken to concentrate each intermediate result for including by executing at preset data
Reason task generates, and the data processing task is arranged according to the operation demand of each anti money washing model；
The target intermediate result got is substituted into the anti money washing model, the anti money washing model is calculated
Export result.
The operation method of anti money washing model that the embodiment of the present invention proposes includes：When financial monitoring system operations anti money washing mould
Whether when type, it includes that the anti money washing model need to target intermediate result to be used to judge that preset intermediate result data is concentrated；
If it includes the target intermediate result that the intermediate result data, which is concentrated, is concentrated from the intermediate result data and obtain the mesh
Intermediate result is marked, and the target intermediate result is substituted into the anti money washing model, the defeated of the anti money washing model is calculated
Go out result；Wherein, the intermediate result data concentrates each intermediate result for including by executing preset data processing task
It generates, the data processing task is arranged according to the operation demand of each anti money washing model.Since different anti money washing models exists
It may need that identical intermediate result, such as anti money washing model A, B and C is used to be required to use " client in operation when operation
This intermediate result of nearest 30 days transaction total amounts ", then system calculated by executing pre-set data processing task
To " nearest 30 days transaction total amounts of client " this intermediate result, which is stored in intermediate result data and is concentrated,
Then as system operation anti money washing model A, B and C, no matter in one day these model running how many times, can be from this
Between result data concentration be directly obtained the intermediate result, individually calculate the primary intermediate result without each model.As it can be seen that
When system needs to run a large amount of anti money washing model, calculation amount can be effectively reduced using this method, to reduce system fortune
Burden when anti money washing model is calculated, system performance is improved.
Description of the drawings
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description be only the present invention some
Embodiment for those of ordinary skill in the art without having to pay creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is a kind of flow of one embodiment of the operation method of anti money washing model provided in an embodiment of the present invention
Figure；
Fig. 2 is a kind of flow of second embodiment of the operation method of anti money washing model provided in an embodiment of the present invention
Figure；
Fig. 3 is a kind of flow of the third embodiment of the operation method of anti money washing model provided in an embodiment of the present invention
Figure；
Fig. 4 is a kind of structure chart of one embodiment of the arithmetic unit of anti money washing model provided in an embodiment of the present invention；
Fig. 5 is a kind of schematic diagram of server provided in an embodiment of the present invention.
Specific implementation mode
An embodiment of the present invention provides a kind of operation method, storage medium and the servers of anti money washing model, can be effective
Reduce burden when system operations anti money washing model, improves system performance.
In order to make the invention's purpose, features and advantages of the invention more obvious and easy to understand, below in conjunction with the present invention
Attached drawing in embodiment, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that disclosed below
Embodiment be only a part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, this field
All other embodiment that those of ordinary skill is obtained without making creative work, belongs to protection of the present invention
Range.
Referring to Fig. 1, a kind of one embodiment of the operation method of anti money washing model includes in the embodiment of the present invention：
101, when financial monitoring system operations anti money washing model, judge preset intermediate result data concentrate whether include
The anti money washing model needs target intermediate result to be used；
Here anti money washing model is that the data of financial transaction for identification that system is built in advance whether there is money laundering risks
Operational model the result with the presence or absence of risk is obtained by the acquisition and calculating of transaction data.When financial monitoring system operations
Whether when some anti money washing model, it includes that the anti money washing model need to mesh to be used to judge that preset intermediate result data is concentrated
Mark intermediate result.The intermediate result data collection have collected each anti money washing model precalculated may need it is to be used in
Between as a result, such as " nearest 30 days transaction total amounts of client ", " number of transferring accounts of client in one week ", " in January client exist
Transfer accounts the number of days of behavior " etc. intermediate results.The intermediate result data concentrates each intermediate result for including preset by executing
Data processing task generates, and the data processing task is arranged according to the operation demand of each anti money washing model.For example, multiple anti-
Money laundering model is required to use " nearest 30 days transaction total amounts of client " this intermediate result, then system can establish certain number
" nearest 30 days transaction total amounts of client " is obtained according to processing task computation, and saves it in intermediate result data concentration.
If it includes the target intermediate result that the intermediate result data, which is concentrated, 102 to 103 are thened follow the steps, it is no to then follow the steps
104。
102, it is concentrated from the intermediate result data and obtains the target intermediate result；
It includes the target intermediate result that the intermediate result data, which is concentrated, therefore can therefrom obtain knot among the target
Fruit.For example, system operation anti money washing model A, anti money washing model A need intermediate result (i.e. target intermediate result) to be used be r,
S and t then concentrates lookup intermediate result r, s and t will be in these if these intermediate results can be found from the intermediate result data
Between result extract, prepare for the calculating of next step.
103, the target intermediate result got is substituted into the anti money washing model, the anti money washing mould is calculated
The output result of type；
After getting target intermediate result, the target intermediate result got is substituted into the anti money washing model,
The output result of the anti money washing model is calculated.After target intermediate result is substituted into anti money washing model, among target
As a result it with the original transaction data of part, carries out simple calculating and can be obtained the output of anti money washing model as a result, the output knot
Fruit is generally " there are risk, early warning " or " devoid of risk, not early warning ".
104, anti money washing model described in direct operation obtains output result.
The intermediate result data collection does not include the target intermediate result, therefore can only direct anti money washing mould described in operation
The target intermediate result is calculated in the operation anti money washing model in type again, then according to target intermediate result and partial
The output result of anti money washing model is calculated in original transaction data.
The operation method of anti money washing model that the embodiment of the present invention proposes includes：When financial monitoring system operations anti money washing mould
Whether when type, it includes that the anti money washing model need to target intermediate result to be used to judge that preset intermediate result data is concentrated；
If it includes the target intermediate result that the intermediate result data, which is concentrated, is concentrated from the intermediate result data and obtain the mesh
Intermediate result is marked, and the target intermediate result is substituted into the anti money washing model, the defeated of the anti money washing model is calculated
Go out result；Wherein, the intermediate result data concentrates each intermediate result for including by executing preset data processing task
It generates, the data processing task is arranged according to the operation demand of each anti money washing model.Since different anti money washing models exists
It may need that identical intermediate result, such as anti money washing model A, B and C is used to be required to use " client in operation when operation
This intermediate result of nearest 30 days transaction total amounts ", then system calculated by executing pre-set data processing task
To " nearest 30 days transaction total amounts of client " this intermediate result, which is stored in intermediate result data and is concentrated,
Then as system operation anti money washing model A, B and C, no matter in one day these model running how many times, can be from this
Between result data concentration be directly obtained the intermediate result, individually calculate the primary intermediate result without each model.As it can be seen that
When system needs to run a large amount of anti money washing model, calculation amount can be effectively reduced using this method, to reduce system fortune
Burden when anti money washing model is calculated, system performance is improved.
Referring to Fig. 2, a kind of second embodiment of the operation method of anti money washing model includes in the embodiment of the present invention：
201, initial data is obtained；
In embodiments of the present invention, system obtains initial data first, and the initial data is during financial transaction
The data such as the data of generation, such as exchange hour, trading account, customer information, transaction amount and type of transaction.
202, each intermediate result is obtained according to the initial data and data processing task computation；
After obtaining the initial data, each intermediate knot is obtained according to the initial data and data processing task computation
Fruit.Data processing task can be regarded as data calculating or processing rule, after obtaining initial data, to the initial data according to
The rule is calculated or is processed, and each intermediate result is obtained.
Further, the data processing task may include the data processing task of multiple levels, the intermediate result
May include the intermediate result of multiple levels, the intermediate result of each level is numbered ascending sequence according to level and produced successively
It is raw, the specific steps are：
(1) the intermediate of the first level is calculated according to the data processing task of the initial data and the first level to tie
Fruit；
(2) it is calculated in n-th layer grade according to the data processing task of the intermediate result of N-1 levels and n-th layer grade
Between as a result, N is integer more than or equal to 2.
First, it is calculated in the first level according to the data processing task of the initial data got and the first level
Between result；Then it is calculated in the second level according to the data processing task of the intermediate result of the first level and the second level
Between result；The data processing task of intermediate result and third level then according to the second level is calculated in third level
Between result；And so on, the number of levels for the intermediate result for needing to obtain rationally is determined according to actual demand.In addition, it is necessary to illustrate
, when calculating the intermediate result of a certain level, all data results generated can be utilized, for example calculating third
When the intermediate result of level, on the basis of using the intermediate result of the second level, initial data and first can also be utilized simultaneously
The intermediate result of level.
203, each intermediate result being calculated is stored to preset intermediate result data and is concentrated；
After each intermediate result is calculated, the storage of these intermediate results is concentrated to preset intermediate result data,
Convenient for being searched in operation anti money washing model and using these intermediate results.
204, whether when financial monitoring system operations anti money washing model, it includes institute to judge that the intermediate result data is concentrated
Stating anti money washing model needs target intermediate result to be used；
If it includes the target intermediate result that the intermediate result data, which is concentrated, 205 to 206 are thened follow the steps, is otherwise held
Row step 207.
205, it is concentrated from the intermediate result data and obtains the target intermediate result；
206, the target intermediate result got is substituted into the anti money washing model, the anti money washing mould is calculated
The output result of type；
207, anti money washing model described in direct operation obtains output result.
Step 204 to 207 with step 101 to 104 identical, specifically can refer to the related description of step 101 to 104.
The operation method of anti money washing model that the embodiment of the present invention proposes includes：What acquisition generated during financial transaction
Initial data；Each intermediate result is obtained according to the initial data and data processing task computation；It is each by what is be calculated
Intermediate result storage is concentrated to preset intermediate result data；When financial monitoring system operations anti money washing model, described in judgement
Whether intermediate result data is concentrated need to target intermediate result to be used comprising the anti money washing model；If so, from described
Between result data concentrate and obtain the target intermediate result, and the target intermediate result got is substituted into the anti money washing
The output result of the anti money washing model is calculated in model；Otherwise anti money washing model described in direct operation obtains output knot
Fruit.Compared with first embodiment of the invention, the present embodiment concentrates intermediate result data the generation process of each intermediate result
It is defined.By needing intermediate result to be used to precalculate on each anti money washing model and being stored in intermediate result data
It concentrates, it is follow-up to carry out that the progress operation of these intermediate results is directly acquired when anti money washing model calculation.When system needs to run
When a large amount of anti money washing model, calculation amount can be effectively reduced in this way, to reduce system operations anti money washing model
When burden, improve system performance.
Referring to Fig. 3, a kind of third embodiment of the operation method of anti money washing model includes in the embodiment of the present invention：
301, the initial data generated during financial transaction is obtained；
Step 301 is identical as step 201, specifically can refer to the related description of step 201.
302, the initial data is cleaned according to preset data cleansing rule；
After getting initial data, these initial data are cleaned according to preset data cleansing rule.Such as：
System receives the initial data such as transaction, client, account from bank's ODS systems daily, and operation data cleaning rule counts these
According to being cleaned, converted.The cleaning of nationality's field is to meet GB/ by the mechanism that client's institutional affiliation is such as converted to supervision registration
The countries in the world T2659-2000 and area name code (being " HKG " by " HK ", " Hong Kong ", " Hong-Kong " cleaning), by currency
Code cleaning is to meet GB/T12406-1996, data (being " CHY " by " RMB ", " RMB " cleaning) of ISO-4217 etc.
Deng.
303, the initial data after cleaning is processed using preset data mart modeling template, obtains base values
Data；
After the completion of data cleansing, the initial data after cleaning is added using preset data mart modeling template
Work obtains base values data.System loads client, account, basis of business index calculation template (such as automatically：Client is to a certain
The home currency of client, which is transferred accounts, produces number), account base values, basis of business index is calculated, to basis of formation index number
According to pond.
304, each intermediate result is obtained according to the base values data and data processing task computation；
After obtaining each base values data, obtained respectively according to the base values data and data processing task computation
A intermediate result.For example, some base values data is " client transfers accounts to the home currency of a certain client and produces number ", then can pass through
The base values data and preset data processing task are calculated that " client transfers accounts to home currency occurs in a certain client three days
Go out number of days ", " client to home currency occurs in three working days of a certain client transfer accounts produce number of days " and " client is to a certain in a short time
The home currency of client, which is transferred accounts, produces number " etc. the first level intermediate result.Further, in the intermediate result for obtaining the first level
Afterwards, it can be further calculated to obtain the intermediate knot of the second level according to the intermediate result of the base values data and the first level
Fruit, and so on can obtain the intermediate result of multiple levels.
305, each intermediate result being calculated is stored to preset intermediate result data and is concentrated；
After each intermediate result is calculated, the storage of these intermediate results is concentrated to preset intermediate result data,
Convenient for being searched in operation anti money washing model and using these intermediate results.
306, the initial data, the generation time of each intermediate result and the data processing task are obtained；
307, it is more than the initial data, each intermediate result of first threshold apart from current time by generation time
It is transferred to preset stale data table with the data processing task；
It is in step 306 to 307, generation time is described more than first threshold (such as 3 months) apart from current time
Initial data, each intermediate result and the data processing task are transferred to preset stale data table, to complete
The filing of issue evidence.It is arranged in this way, on the one hand realizes for future reference of stale data, on the other hand so that in system data pond
Data volume maintain a metastable level, avoid data from continuing to build up and cause anti money washing model calculate burden add
Weight.
308, whether when financial monitoring system operations anti money washing model, it includes institute to judge that the intermediate result data is concentrated
Stating anti money washing model needs target intermediate result to be used；
If it includes the target intermediate result that the intermediate result data, which is concentrated, 309 to 310 are thened follow the steps, is otherwise held
Row step 311.
309, it is concentrated from the intermediate result data and obtains the target intermediate result；
310, the target intermediate result got is substituted into the anti money washing model, the anti money washing mould is calculated
The output result of type；
311, anti money washing model described in direct operation obtains output result.
Step 308 to 311 with step 101 to 104 identical, specifically can refer to the related description of step 101 to 104.
The operation method of anti money washing model that the embodiment of the present invention proposes includes：What acquisition generated during financial transaction
Initial data；The initial data is cleaned according to preset data cleansing rule；Using preset data mart modeling template
The initial data after cleaning is processed, base values data are obtained；At the base values data and data
Reason task computation obtains each intermediate result；By each intermediate result being calculated storage to preset intermediate result data collection
In；Obtain the initial data, the generation time of each intermediate result and the data processing task；By generation time away from
The initial data, each intermediate result and the data processing task from current time more than first threshold are transferred to
Preset stale data table；When financial monitoring system operations anti money washing model, whether the intermediate result data concentration is judged
Including the anti money washing model needs target intermediate result to be used；If the intermediate result data is concentrated comprising in the target
Between as a result, then being concentrated from the intermediate result data obtain the target intermediate result, and the target intermediate result is substituted into
The output result of the anti money washing model is calculated in the anti money washing model；If the intermediate result data concentration does not include
The target intermediate result, then anti money washing model described in direct operation, obtains output result.With second embodiment of the present invention
It compares, the present embodiment has carried out the pretreatment operations such as data cleansing, data mart modeling to initial data, can obtain more acurrate and just
In the base values data used, each intermediate result then is obtained according to base values data and data processing task computation,
These intermediate results are stored in preset intermediate result data to concentrate, it is follow-up can directly be obtained when anti money washing model calculation
These intermediate results are taken to carry out operation.As it can be seen that when system needs to run a large amount of anti money washing model, can be had using this method
Effect reduces calculation amount, to reduce burden when system operations anti money washing model, improves system performance.In addition, the present embodiment is also
By data conversion storage expired in system to stale data table, the filing of stale data is realized, enable in system data pond
Data volume maintains a metastable level, and the burden for avoiding data from continuing to build up and anti money washing model being caused to calculate adds
Weight.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
A kind of operation method of anti money washing model is essentially described above, a kind of operation of anti money washing model will be filled below
It sets and is described in detail.
Referring to Fig. 4, a kind of one embodiment of the arithmetic unit of anti money washing model includes in the embodiment of the present invention：
Judgment module 401, for when financial monitoring system operations anti money washing model, judging preset intermediate result data
Whether concentrate need to target intermediate result to be used comprising the anti money washing model；
Intermediate result acquisition module 402, if it includes the target intermediate result to be concentrated for the intermediate result data,
It is concentrated from the intermediate result data and obtains the target intermediate result, the intermediate result data concentrates each centre for including
As a result it is generated by executing preset data processing task, the data processing task is according to the operation need of each anti money washing model
Ask setting；
Anti money washing model calculation module 403, for the target intermediate result got to be substituted into the anti money washing mould
The output result of the anti money washing model is calculated in type.
Further, the arithmetic unit of the anti money washing model can also include：
Initial data acquisition module, for obtaining initial data, the initial data is to be generated during financial transaction
Data；
Intermediate result computing module, for according to the initial data and the data processing task be calculated it is each in
Between as a result, and by obtained each intermediate result storage to the intermediate result data concentrate.
Further, the intermediate result computing module may include：
First computing unit, for being calculated first according to the data processing task of the initial data and the first level
The intermediate result of level；
Second computing unit, for being calculated according to the intermediate result of N-1 levels and the data processing task of n-th layer grade
To the intermediate result of n-th layer grade, N is the integer more than or equal to 2.
Further, the arithmetic unit of the anti money washing model can also include：
Data cleansing module, for being cleaned to the initial data according to preset data cleansing rule；
Data mart modeling module, for being added to the initial data after cleaning using preset data mart modeling template
Work obtains base values data；
The intermediate result computing module is specifically used for：According to the base values data and the data processing task meter
Calculation obtains the intermediate result.
Further, the arithmetic unit of the anti money washing model can also include：
Data generation time acquisition module, for obtaining the initial data, each intermediate result and the data
The generation time of processing task；
Stale data unloading module, for being more than the original number of first threshold apart from current time by generation time
It is transferred to preset stale data table according to, each intermediate result and the data processing task.
The embodiment of the present invention also provides a kind of computer readable storage medium, and the computer-readable recording medium storage has
Computer-readable instruction realizes that any one indicated such as Fig. 1 to Fig. 3 is anti-when the computer-readable instruction is executed by processor
The step of operation method of money laundering model.
The embodiment of the present invention also provides a kind of server, including memory, processor and is stored in the memory
And the computer-readable instruction that can be run on the processor, the processor are realized when executing the computer-readable instruction
As Fig. 1 to Fig. 3 any one anti money washing model indicated operation method the step of.
Fig. 5 is the schematic diagram for the server that one embodiment of the invention provides.As shown in figure 5, the server 5 of the embodiment wraps
It includes：Processor 50, memory 51 and it is stored in the computer that can be run in the memory 51 and on the processor 50
Readable instruction 52.The processor 50 realizes the operation of above-mentioned each anti money washing model when executing the computer-readable instruction 52
Step in embodiment of the method, such as step 101 shown in FIG. 1 is to 104.Alternatively, the processor 50 executes the computer
The function of each module/unit in above-mentioned each device embodiment, such as module 401 to 403 shown in Fig. 4 are realized when readable instruction 52
Function.
Illustratively, the computer-readable instruction 52 can be divided into one or more module/units, one
Or multiple module/units are stored in the memory 51, and executed by the processor 50, to complete the present invention.Institute
It can be the series of computation machine readable instruction section that can complete specific function, the instruction segment to state one or more module/units
For describing implementation procedure of the computer-readable instruction 52 in the server 5.
The server 5 can be the computing devices such as desktop PC, notebook, palm PC and cloud server.
The server 5 may include, but be not limited only to, processor 50, memory 51.It will be understood by those skilled in the art that Fig. 5 is only
It is the example of server 5, does not constitute the restriction to server 5, may include than illustrating more or fewer components or group
Close certain components or different components, for example, the server 5 can also include input-output equipment, network access equipment,
Bus etc..
The processor 50 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), application-specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor can also be any conventional processor
Deng.
The memory 51 can be the internal storage unit of the server 5, such as the hard disk or memory of server 5.
The memory 51 can also be that the plug-in type that is equipped on the External memory equipment of the server 5, such as the server 5 is hard
Disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash card
(Flash Card) etc..Further, the memory 51 can also both include the internal storage unit of the server 5 or wrap
Include External memory equipment.The memory 51 is used to store other needed for the computer-readable instruction and the server
Program and data.The memory 51 can be also used for temporarily storing the data that has exported or will export.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can be stored in a computer read/write memory medium.Based on this understanding, technical scheme of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the present invention
Portion or part steps.And storage medium above-mentioned includes：USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can store journey
The medium of sequence code.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although with reference to before
Stating embodiment, invention is explained in detail, it will be understood by those of ordinary skill in the art that：It still can be to preceding
The technical solution recorded in each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
Modification or replacement, the spirit and scope for various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of operation method of anti money washing model, which is characterized in that including：
Whether when financial monitoring system operations anti money washing model, it includes the backwash to judge that preset intermediate result data is concentrated
Money model needs target intermediate result to be used；
If it includes the target intermediate result that the intermediate result data, which is concentrated, is concentrated from the intermediate result data and obtain institute
Target intermediate result is stated, the intermediate result data concentrates each intermediate result for including to appoint by executing preset data processing
Business generates, and the data processing task is arranged according to the operation demand of each anti money washing model；
The target intermediate result got is substituted into the anti money washing model, the output of the anti money washing model is calculated
As a result.
2. the operation method of anti money washing model according to claim 1, which is characterized in that the intermediate result data is concentrated
Including each intermediate result generated by following steps：
Initial data is obtained, the initial data is the data generated during financial transaction；
Each intermediate result is calculated according to the initial data and the data processing task.
3. the operation method of anti money washing model according to claim 2, which is characterized in that the data processing task includes
The data processing task of multiple levels, the intermediate result include the intermediate result of multiple levels, the intermediate result of each level
Ascending sequence is numbered according to level to be sequentially generated, the specific steps are：
The intermediate result of the first level is calculated according to the data processing task of the initial data and the first level；
The intermediate result of n-th layer grade, N are calculated according to the data processing task of the intermediate result of N-1 levels and n-th layer grade
For the integer more than or equal to 2.
4. the operation method of anti money washing model according to claim 2, which is characterized in that according to the initial data and
The data processing task is calculated before each intermediate result, further includes：
The initial data is cleaned according to preset data cleansing rule；
The initial data after cleaning is processed using preset data mart modeling template, obtains base values data；
It is described each intermediate result is calculated according to the initial data and the data processing task to be specially：
Each intermediate result is calculated according to the base values data and the data processing task.
5. the operation method of anti money washing model according to any one of claim 2 to 4, which is characterized in that further include：
Obtain the initial data, the generation time of each intermediate result and the data processing task；
The initial data, each intermediate result and the number by generation time apart from current time more than first threshold
It is transferred to preset stale data table according to processing task.
6. a kind of computer readable storage medium, the computer-readable recording medium storage has computer-readable instruction, special
Sign is, the anti money washing as described in any one of claim 1 to 5 is realized when the computer-readable instruction is executed by processor
The step of operation method of model.
7. a kind of server, including memory, processor and it is stored in the memory and can transports on the processor
Capable computer-readable instruction, which is characterized in that the processor realizes following steps when executing the computer-readable instruction：
Whether when financial monitoring system operations anti money washing model, it includes the backwash to judge that preset intermediate result data is concentrated
Money model needs target intermediate result to be used；
If it includes the target intermediate result that the intermediate result data, which is concentrated, is concentrated from the intermediate result data and obtain institute
Target intermediate result is stated, the intermediate result data concentrates each intermediate result for including to appoint by executing preset data processing
Business generates, and the data processing task is arranged according to the operation demand of each anti money washing model；
The target intermediate result got is substituted into the anti money washing model, the output of the anti money washing model is calculated
As a result.
8. server according to claim 7, which is characterized in that the intermediate result data concentrates each centre for including
As a result it is generated by following steps：
Initial data is obtained, the initial data is the data generated during financial transaction；
Each intermediate result is calculated according to the initial data and the data processing task.
9. server according to claim 8, which is characterized in that the data processing task includes the data of multiple levels
Processing task, the intermediate result include the intermediate result of multiple levels, the intermediate result of each level according to level number by
It is small to be sequentially generated to big sequence, the specific steps are：
The intermediate result of the first level is calculated according to the data processing task of the initial data and the first level；
The intermediate result of n-th layer grade, N are calculated according to the data processing task of the intermediate result of N-1 levels and n-th layer grade
For the integer more than or equal to 2.
10. server according to claim 8, which is characterized in that according to the initial data and the data processing
Before task computation obtains each intermediate result, further include：
The initial data is cleaned according to preset data cleansing rule；
The initial data after cleaning is processed using preset data mart modeling template, obtains base values data；
It is described each intermediate result is calculated according to the initial data and the data processing task to be specially：
The intermediate result is calculated according to the base values data and the data processing task.
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| CN201810121936.8A CN108376366A (en) | 2018-02-07 | 2018-02-07 | A kind of operation method, storage medium and the server of anti money washing model |
| PCT/CN2018/082838 WO2019153489A1 (en) | 2018-02-07 | 2018-04-12 | Anti-money laundering model running method, storage medium, terminal device and apparatus |
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| CN201810121936.8A CN108376366A (en) | 2018-02-07 | 2018-02-07 | A kind of operation method, storage medium and the server of anti money washing model |
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| CN116402512A (en) * | 2023-05-31 | 2023-07-07 | 无锡锡商银行股份有限公司 | Account security check management method based on artificial intelligence |
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| CN105719033B (en) * | 2014-12-02 | 2019-12-13 | 阿里巴巴集团控股有限公司 | Method and device for identifying object risk |
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| CN116402512A (en) * | 2023-05-31 | 2023-07-07 | 无锡锡商银行股份有限公司 | Account security check management method based on artificial intelligence |
| CN116402512B (en) * | 2023-05-31 | 2023-08-22 | 无锡锡商银行股份有限公司 | Account security check management method based on artificial intelligence |
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