CN110609830A - Decision engine system based on auditing strategy - Google Patents
Decision engine system based on auditing strategy Download PDFInfo
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- CN110609830A CN110609830A CN201910751417.4A CN201910751417A CN110609830A CN 110609830 A CN110609830 A CN 110609830A CN 201910751417 A CN201910751417 A CN 201910751417A CN 110609830 A CN110609830 A CN 110609830A
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- 238000004140 cleaning Methods 0.000 claims abstract description 12
- 238000000034 method Methods 0.000 claims abstract description 12
- 238000012550 audit Methods 0.000 claims abstract description 11
- 230000000007 visual effect Effects 0.000 claims abstract description 5
- 238000004886 process control Methods 0.000 claims abstract description 4
- 238000007726 management method Methods 0.000 claims description 13
- 238000009877 rendering Methods 0.000 claims description 8
- 238000011161 development Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 241000282414 Homo sapiens Species 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000012634 fragment Substances 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
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Abstract
The invention relates to a decision engine system based on an audit strategy, which comprises a workflow module, a cleaning module, a flow control module, an execution module and a log module, wherein the workflow module is used for executing a workflow; the workflow module is used for combining controls in the visual operation interface by a user in a dragging and pulling mode to form a workflow of a corresponding service scene, and each node component in the workflow is configured with a decision event; the cleaning module is used for cleaning data of the incoming data source and transmitting the cleaned data to the process control module; the flow control module is used for orderly scheduling the execution process of the workflow of the corresponding service scene when the cleaned incoming data source enters; the execution module is used for executing the rule logic and outputting a wind control decision result; the log module is used for recording and storing the running process log and the execution result in the decision engine.
Description
Technical Field
The invention relates to the technical field of decision engines, in particular to a decision engine system based on an audit strategy.
Background
With the development of the times, the information and the business volume of a plurality of industries are explosively increased, scenes that professionals are required to make quick judgment and decision are more and more, the knowledge storage and experience accumulation of each professional is different, the decision of the same event is different, and a plurality of decision deviations are great to cause great loss, so that an intelligent decision engine is a necessary trend of future development. The decision engine is a universal tool, and can comb the long-term accumulated experience of various industry experts into a series of rules as policy configuration, wherein a user configures corresponding rule policies for specific events according to own will, and then makes a decision to judge the events by combining with a database. The decision engine is applicable to all events requiring real-time decisions, such as anti-fraud, credit windage, insurance underwriting, automatic claims settlement, etc.
The strategy mode is single: the strategy mode of the existing decision engine is basically that a weight method is adopted to assign values to various factors influencing an event, and finally, the event is decided according to a final value, and the actual decision has many conditions similar to 'one-vote' and 'difference processing', and the weight method cannot provide rich strategy modes.
Weight assignment bias: because the influence degree of each factor on the event is judged to have inevitable errors, the weight value given to each factor has deviation, and the final decision result has larger deviation.
Poor source data reliability: the existing decision engines make decisions based on the device fingerprint strategy, and the device fingerprint data is obtained by collecting device information and associating the applicant information with the device information so as to evaluate the application of the applicant. Thus, whether the equipment information is accurately associated with the applicant is difficult to evaluate, so that the accuracy is difficult to guarantee.
The amount of event fragments is large: an event comprises a plurality of steps, each step is an event, the granularity of the event is small, the current decision engine needs to be divided into a plurality of small events for decision respectively, the continuity is lacked, and the accumulated error is large.
Disclosure of Invention
Aiming at the problems and the defects in the prior art, the invention provides a novel decision engine system based on an audit strategy.
The invention solves the technical problems through the following technical scheme:
the invention provides a decision engine system based on an audit strategy, which is characterized by comprising a workflow module, a cleaning module, a flow control module, an execution module and a log module, wherein the workflow module is used for executing a decision process;
the workflow module is used for combining controls in the visual operation interface by a user in a dragging and pulling mode to form a workflow of a corresponding service scene, and each node component in the workflow is configured with a decision event;
the cleaning module is used for cleaning data of the incoming data source and transmitting the cleaned data to the process control module;
the flow control module is used for orderly scheduling the execution process of the workflow of the corresponding service scene when the cleaned incoming data source enters;
the execution module is used for executing rule logic and outputting a wind control decision result;
the log module is used for recording and storing the running process log and the execution result in the decision engine.
Preferably, the decision engine system further comprises a node component management module, and the node component management module is used for dynamically configuring decision events of the node components.
Preferably, the decision engine system further comprises a rendering control module, and the rendering control module is used for rendering control of the node components.
On the basis of the common knowledge in the field, the above preferred conditions can be combined randomly to obtain the preferred embodiments of the invention.
The positive progress effects of the invention are as follows:
the decision engine based on the auditing strategy is a decision engine which has a visual operation interface and is developed on the basis of the auditing strategy by adopting a unique research and development technology. A user using the engine can set rules on an operation interface, and can also establish a decision flow in a mouse dragging mode to make decisions. The code is not required to be written in the whole operation process, so that the development cost is reduced. The wind control rules set by the user are stored in the decision engine, and when an incoming piece enters, the decision engine automatically makes various decisions according to the configured strategy. Since the computational efficiency of computers is far higher than that of human beings, the decision engine can greatly improve the working efficiency.
Drawings
FIG. 1 is a block diagram of a decision engine system based on an audit policy according to a preferred embodiment of the present invention.
FIG. 2 is a schematic diagram of the operation of the decision engine system based on the audit policy according to the preferred embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
As shown in fig. 1 and fig. 2, the present embodiment provides an audit policy-based decision engine system, which includes a workflow module 1, a node component management module 2, a rendering control module 3, a cleaning module 4, a flow control module 5, an execution module 6, and a log module 7.
The workflow module 1 is used for a user to combine controls in a visual operation interface in a dragging and pulling mode to form a workflow of a corresponding service scene, and each node component in the workflow is configured with a decision event.
The node component management module 2 is used for dynamically configuring decision events of node components.
The rendering control module 3 is used for rendering control of the node components.
The cleaning module 4 is used for cleaning data of the incoming data source and transmitting the cleaned data to the process control module;
the flow control module 5 is used for orderly scheduling the execution process of the workflow of the corresponding service scene when the cleaned incoming data source enters;
the execution module 6 is used for executing rule logic and outputting a wind control decision result;
the log module 7 is used for recording and storing the running process log and the execution result in the decision engine.
And (3) decision event configuration: including event management, policy management, rule management, and tag management.
Event management: different events are mainly configured according to application scenes; the event mode has two types, namely a scoring mode and a common mode, wherein the common mode is divided into three types: and if all the strategies pass, if any strategy passes, the strategy passes, and if any strategy rejects, the strategy rejects.
And (3) policy management: and the rule set is responsible for linking the events and the rules, and combines the rules through different modes.
And (3) rule management: the rules are decision conditions, and the decision results are given through condition judgment, and the rules are the key points for decision making of the system. The configured rules include tags and their corresponding indexes, thresholds, instructions and other information, and these tag data are also synchronized to the database for storage.
And (3) label management: the tags are variables that can reflect certain behaviors extracted from the database accumulated by the audit policy. In the decision engine, the label is the basis of the rule, and different rules are created by screening the label.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that these are by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.
Claims (3)
1. A decision engine system based on an audit strategy is characterized by comprising a workflow module, a cleaning module, a flow control module, an execution module and a log module;
the workflow module is used for combining controls in the visual operation interface by a user in a dragging and pulling mode to form a workflow of a corresponding service scene, and each node component in the workflow is configured with a decision event;
the cleaning module is used for cleaning data of the incoming data source and transmitting the cleaned data to the process control module;
the flow control module is used for orderly scheduling the execution process of the workflow of the corresponding service scene when the cleaned incoming data source enters;
the execution module is used for executing rule logic and outputting a wind control decision result;
the log module is used for recording and storing the running process log and the execution result in the decision engine.
2. An audit policy based decision engine system according to claim 1 wherein the decision engine system further includes a node component management module for dynamically configuring decision events for node components.
3. An audit policy based decision engine system according to claim 1 wherein the decision engine system further includes a rendering control module for rendering control of node components.
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| CN201910751417.4A CN110609830A (en) | 2019-08-15 | 2019-08-15 | Decision engine system based on auditing strategy |
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| CN201910751417.4A CN110609830A (en) | 2019-08-15 | 2019-08-15 | Decision engine system based on auditing strategy |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111309692A (en) * | 2020-01-20 | 2020-06-19 | 重庆富民银行股份有限公司 | Wind control management system based on unmanned aerial vehicle decision engine |
| CN111428969A (en) * | 2020-02-12 | 2020-07-17 | 浙江知夫子信息科技有限公司 | Sales promotion computing system based on rule engine and computing method thereof |
| CN111459843A (en) * | 2020-06-19 | 2020-07-28 | 上海冰鉴信息科技有限公司 | Decision flow testing method and device applied to wind control decision engine |
| CN111861096A (en) * | 2020-05-30 | 2020-10-30 | 上海维信荟智金融科技有限公司 | Method and system for visual configuration management of decision flow |
| CN113051058A (en) * | 2021-04-06 | 2021-06-29 | 浙江百应科技有限公司 | Scheduling system and method of anti-fraud intelligent decision engine |
| CN113409138A (en) * | 2021-07-19 | 2021-09-17 | 浙江孚临科技有限公司 | Risk control decision engine device |
| CN116225417A (en) * | 2023-05-08 | 2023-06-06 | 无锡锡商银行股份有限公司 | Financial platform decision engine management system and method based on big data |
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| CN106779092A (en) * | 2016-12-16 | 2017-05-31 | 广州衡昊数据科技有限公司 | A kind of intelligent decision engine for possessing industry specialists thoughtcast and operational capacity |
| CN108428103A (en) * | 2017-12-28 | 2018-08-21 | 深圳萨摩耶互联网金融服务有限公司 | Decision engine and decision-making technique |
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2019
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Patent Citations (3)
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| EP2120192A1 (en) * | 2008-05-13 | 2009-11-18 | Sap Ag | Method and system for supporting a decision-making process |
| CN106779092A (en) * | 2016-12-16 | 2017-05-31 | 广州衡昊数据科技有限公司 | A kind of intelligent decision engine for possessing industry specialists thoughtcast and operational capacity |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111309692A (en) * | 2020-01-20 | 2020-06-19 | 重庆富民银行股份有限公司 | Wind control management system based on unmanned aerial vehicle decision engine |
| CN111428969A (en) * | 2020-02-12 | 2020-07-17 | 浙江知夫子信息科技有限公司 | Sales promotion computing system based on rule engine and computing method thereof |
| CN111861096A (en) * | 2020-05-30 | 2020-10-30 | 上海维信荟智金融科技有限公司 | Method and system for visual configuration management of decision flow |
| CN111459843A (en) * | 2020-06-19 | 2020-07-28 | 上海冰鉴信息科技有限公司 | Decision flow testing method and device applied to wind control decision engine |
| CN113051058A (en) * | 2021-04-06 | 2021-06-29 | 浙江百应科技有限公司 | Scheduling system and method of anti-fraud intelligent decision engine |
| CN113409138A (en) * | 2021-07-19 | 2021-09-17 | 浙江孚临科技有限公司 | Risk control decision engine device |
| CN116225417A (en) * | 2023-05-08 | 2023-06-06 | 无锡锡商银行股份有限公司 | Financial platform decision engine management system and method based on big data |
| CN116225417B (en) * | 2023-05-08 | 2023-07-21 | 无锡锡商银行股份有限公司 | Financial platform decision engine management system and method based on big data |
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