CN111949259A - Risk decision configuration method, system, electronic equipment and storage medium - Google Patents
Risk decision configuration method, system, electronic equipment and storage medium Download PDFInfo
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- CN111949259A CN111949259A CN202010822818.7A CN202010822818A CN111949259A CN 111949259 A CN111949259 A CN 111949259A CN 202010822818 A CN202010822818 A CN 202010822818A CN 111949259 A CN111949259 A CN 111949259A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/34—Graphical or visual programming
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- 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
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/401—Transaction verification
- G06Q20/4016—Transaction verification involving fraud or risk level assessment in transaction processing
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/03—Credit; Loans; Processing thereof
Abstract
The disclosure provides a risk decision configuration method, a risk decision configuration system, an electronic device and a storage medium, which can be used in the financial field or other fields. The risk decision configuration method comprises the following steps: displaying a graphical interface, wherein the graphical interface comprises metadata and operators for configuring risk decision logic; acquiring configuration operation input by a user based on the graphical interface; generating a risk decision logic graph based on metadata and operators corresponding to the configuration operation in response to the configuration operation; and generating an executable text according to the risk decision logic map.
Description
Technical Field
The present disclosure relates to the field of computer data processing, and more particularly, to a risk decision configuration method, a risk decision configuration system, an electronic device, and a computer-readable storage medium.
Background
With the continuous development of internet finance, the black industry group also continuously promotes the self-fraud technology and mode, and meanwhile, new fraud modes are more and more frequently appeared. The technical promotion of black industry group provides higher prevention requirements on the prevention timeliness of financial fields such as banking industry and the like.
At present, one of the main ways to discriminate fraud is expert rule decision, and the expert rule decision is mainly implemented by manually writing a discrimination logic code or by configuring a fixed template.
In the process of realizing the present disclosure, the inventor finds that the discrimination logic solidification causes that the fixed template needs to be updated again each time of adjustment, and is difficult to adapt to the requirement of fast iteration; the requirement of manually writing the discrimination logic code on a rule writer is high, and the code grammar needs to be fully known; the working view of the rule specialist cannot be focused on finding more fraudulent laws using the existing data.
Disclosure of Invention
In view of the above, the present disclosure provides a risk decision configuration method, a risk decision configuration system, an electronic device, and a computer-readable storage medium.
One aspect of the present disclosure provides a risk decision configuration method, including: displaying a graphical interface, wherein the graphical interface comprises metadata and operators for configuring risk decision logic; acquiring configuration operation input by a user based on the graphical interface; generating a risk decision logic graph based on metadata and operators corresponding to the configuration operation in response to the configuration operation; and generating an executable text according to the risk decision logic map.
According to an embodiment of the present disclosure, generating, in response to the configuration operation, a risk decision logical graph based on metadata and an operator corresponding to the configuration operation includes: filling metadata corresponding to the configuration operation into a data slot, and filling an operator corresponding to the configuration operation into an operator slot; and generating the risk decision logic map according to the data slots and the operator slots.
According to an embodiment of the present disclosure, after generating the risk decision logic map, the method further comprises: acquiring retrieval operation for retrieving a target logical node; and locating the target logical node in the risk decision logical graph in response to the retrieving operation.
According to an embodiment of the present disclosure, after generating the risk decision logic map, the method further comprises: performing a logical check on the risk decision logic map; and storing the risk decision logic map in case the logic check indicates that a preset requirement is met.
According to an embodiment of the present disclosure, the risk decision logic map is optimized prior to storing the risk decision logic map.
According to an embodiment of the present disclosure, the method further comprises: displaying an editing window for newly adding available metadata and/or available operators; acquiring editing operation input by a user based on the editing window; and in response to the configuration operation, newly adding available metadata and/or available operators.
According to an embodiment of the present disclosure, the method further comprises: acquiring a decision service calling request; responding to the decision service calling request, and carrying out standardization processing on service calling input parameter data in the decision service calling request to obtain decision data with a standard dimension data structure; performing risk logic operation according to the decision data to obtain a risk logic result; and displaying the risk logic result.
Embodiments of the present disclosure also provide a risk decision configuration system, including: the system comprises a visualization module, a risk decision logic generation module and a risk decision logic generation module, wherein the visualization module is used for displaying a graphical interface and acquiring configuration operation input by a user based on the graphical interface, and the graphical interface comprises metadata and operators for configuring the risk decision logic; the logic library module is used for responding to the configuration operation and generating a risk decision logic map based on metadata and operators corresponding to the configuration operation; and the translation module is used for generating an executable text according to the risk decision logic map.
Another aspect of the present disclosure provides an electronic device including: one or more processors; memory to store one or more instructions, wherein the one or more instructions, when executed by the one or more processors, cause the one or more processors to implement a system or method as described above.
Another aspect of the present disclosure provides a computer-readable storage medium storing computer-executable instructions that, when executed, implement a system or method as described above.
Another aspect of the disclosure provides a computer program comprising computer executable instructions for implementing a system or method as described above when executed.
By the embodiment of the disclosure, a graphical interface is displayed, wherein the graphical interface comprises metadata and operators for configuring risk decision logic; acquiring configuration operation input by a user based on the graphical interface; generating a risk decision logic graph based on metadata and operators corresponding to the configuration operation in response to the configuration operation; and generating an executable text according to the risk decision logic map, solving the technical problems of poor usability, slow iteration period and poor data compatibility of the traditional expert rule compiling in the expert risk decision mode in the related technology, graphically adjusting the decision compiling mode, and performing unified dimensional integration on stock data, providing a systematic graphical decision rule compiling module system structure, being beneficial to easier and more flexible compiling of the expert rule, having higher data adaptability, and supporting the provision of real-time anti-fraud decision service in the scene of credit card application service.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent from the following description of embodiments of the present disclosure with reference to the accompanying drawings, in which:
fig. 1 schematically illustrates an exemplary system architecture to which a risk decision configuration system, a risk decision configuration method, an electronic device, and a storage medium may be applied, according to an embodiment of the present disclosure;
FIG. 2 schematically illustrates a flow diagram of a risk decision configuration method according to an embodiment of the present disclosure;
FIG. 3 schematically illustrates a flow diagram for generating a risk decision logic graph based on metadata and operators corresponding to a configuration operation in response to the configuration operation, in accordance with an embodiment of the present disclosure;
FIG. 4 schematically illustrates a flow chart of a risk decision method according to an embodiment of the present disclosure;
FIG. 5 schematically illustrates a flow chart of a risk decision configuration method according to another embodiment of the present disclosure;
FIG. 6 schematically illustrates a block diagram of a risk decision configuration system according to an embodiment of the present disclosure;
FIG. 7 schematically shows a block diagram of a metadata module according to an embodiment of the present disclosure;
FIG. 8 schematically shows a block diagram of a visualization module according to an embodiment of the disclosure;
FIG. 9 schematically shows a block diagram of a library module according to an embodiment of the present disclosure;
FIG. 10 schematically shows a block diagram of a translation module according to an embodiment of the present disclosure;
FIG. 11 schematically shows a block diagram of a base operator module according to an embodiment of the disclosure;
FIG. 12 schematically shows a structure diagram of an execution library module according to an embodiment of the present disclosure;
FIG. 13 schematically illustrates a block diagram of a decision module according to an embodiment of the disclosure; and
FIG. 14 schematically illustrates a block diagram of a computer system suitable for implementing the risk decision configuration method and system described above, according to an embodiment of the present disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.). Where a convention analogous to "A, B or at least one of C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B or C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).
Risk decision making is crucial to financial businesses such as credit and insurance. The purpose of the risk decision is to determine the possibility of bad behaviors such as overdue rate, fraud rate and the like of a user by analyzing the relevant information of the user applying for business, so as to determine approval or rejection of the application of the user and how to price the application after the application is approved (such as loan rate, insurance claim rate and the like).
In the process of realizing the disclosure, it is found that an expert rule can be used for compiling a risk decision mode, but the current expert rule compiling is poor in usability, slow in iteration period and poor in data adaptability.
The embodiment of the disclosure provides a risk decision configuration system, a risk decision configuration method, an electronic device and a storage medium. The risk decision configuration method comprises the following steps: displaying a graphical interface, wherein the graphical interface comprises metadata and operators for configuring risk decision logic; acquiring configuration operation input by a user based on the graphical interface; generating a risk decision logic graph based on metadata and operators corresponding to the configuration operation in response to the configuration operation; and generating an executable text according to the risk decision logic map.
Fig. 1 schematically illustrates an exemplary system architecture 100 to which a risk decision configuration system, a risk decision configuration method, an electronic device, and a storage medium may be applied, according to embodiments of the present disclosure. It should be noted that fig. 1 is only an example of a system architecture to which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, and does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios.
As shown in fig. 1, the system architecture 100 according to this embodiment may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired and/or wireless communication links, and so forth.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 may have installed thereon various communication client applications, such as a shopping-like application, a web browser application, a search-like application, an instant messaging tool, a mailbox client, and/or social platform software, etc. (by way of example only).
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the terminal devices 101, 102, 103. The background management server may analyze and perform other processing on the received data such as the user request, and feed back a processing result (e.g., a webpage, information, or data obtained or generated according to the user request) to the terminal device.
It should be noted that the risk decision configuration method provided by the embodiment of the present disclosure may be generally executed by the server 105. Accordingly, the risk decision configuration system provided by the disclosed embodiments may be generally disposed in the server 105. The risk decision configuration method provided by the embodiments of the present disclosure may also be performed by a server or a server cluster different from the server 105 and capable of communicating with the terminal devices 101, 102, 103 and/or the server 105. Accordingly, the risk decision configuration system provided by the embodiment of the present disclosure may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the terminal devices 101, 102, 103 and/or the server 105. Alternatively, the risk decision configuration method provided by the embodiment of the present disclosure may also be executed by the terminal device 101, 102, or 103, or may also be executed by another terminal device different from the terminal device 101, 102, or 103. Accordingly, the risk decision configuration system provided by the embodiment of the present disclosure may also be disposed in the terminal device 101, 102, or 103, or in another terminal device different from the terminal device 101, 102, or 103.
For example, any of the terminal devices 101, 102, or 103 (e.g., but not limited to terminal device 101) standardizes the decision configuration data input by the user, provides the standardized available metadata to the visualization module, provides the visualization module with a graphical list of available operators via the base operator module, and generates a logical graph written by the user based on graphical rules via the visualization module.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
It should be noted that the risk decision configuration system and method provided by the present disclosure may be used in the financial field, and may also be used in any field other than the financial field.
Fig. 2 schematically shows a flow chart of a risk decision configuration method according to an embodiment of the present disclosure.
As shown in fig. 2, the method includes operations S201 to S204.
In operation S201, a graphical interface is presented, where the graphical interface includes metadata and operators for configuring risk decision logic.
According to the embodiment of the disclosure, a flexible and easy-to-use interface graphical rule writing mode can be provided, a graphical interface can comprise a metadata list and an operator list, and the available metadata in the metadata list and the available operators in the operator list can realize graphical configuration logic combination, so that a user writes a logic map based on graphical rules.
In operation S202, a configuration operation input by a user based on a graphical interface is acquired.
According to embodiments of the present disclosure, a user may select metadata and operators in a graphical interface. By abstracting the metadata and the operators, expert rule compiling personnel can carry out logic compiling in a graphic mode, and the method is high in efficiency, intuitive in operation and strong in logicality.
In operation S203, in response to the configuration operation, a risk decision logic graph is generated based on metadata and operators corresponding to the configuration operation.
In operation S204, an executable text is generated according to the risk decision logic graph.
According to embodiments of the present disclosure, a risk decision logic map may be mapped into expert rule code that may be directly executed by a decision engine.
Through the embodiment of the disclosure, the technical problems of poor usability, slow iteration period and poor data compatibility of traditional expert rule compiling in an expert risk decision making mode in the related technology are solved, the decision making compiling mode can be graphically adjusted, unified dimension integration is made on stock data, a systematic graphical decision making rule compiling module system structure is provided, the expert rule compiling is easy to implement, the data adaptability is higher, and the method supports providing real-time anti-fraud decision making service in a scene of credit card application business.
FIG. 3 schematically illustrates a flow diagram for generating a risk decision logic graph based on metadata and operators corresponding to a configuration operation in response to the configuration operation, according to an embodiment of the disclosure.
As shown in FIG. 3, in response to a configuration operation, generating a risk decision logical graph based on metadata and operators corresponding to the configuration operation includes operations S301-S302.
In operation S301, metadata corresponding to the configuration operation is filled into the data slot, and an operator corresponding to the configuration operation is filled into the operator slot.
According to embodiments of the present disclosure, for example, data fields may be populated into data slots of a logical graph to be populated in conjunction with a metadata definition. According to embodiments of the present disclosure, operator logic may be populated into operator slots of a logical atlas to be populated, for example, according to the operator computation logic.
In operation S302, a risk decision logic map is generated according to the data slots and the operator slots.
According to the embodiment of the disclosure, the logic map filled with data and operators can be subjected to script language conversion.
According to an embodiment of the present disclosure, after a risk decision logic graph is generated, a retrieval operation for retrieving a target logic node may be acquired; and positioning the target logical node in the risk decision logical graph in response to the retrieval operation.
According to embodiments of the present disclosure, a retrieval function of a logical node may be provided, and/or a retrieval function of a partial view may be provided.
Due to the fact that editing becomes complex in the process of editing of the large logic slot, cross-node editing is often involved, the local view is provided through searching the logic nodes, the configuration efficiency of the risk decision logic map can be improved, and writers can pay more time to pay attention to writing logic.
According to embodiments of the present disclosure, after a risk decision logic map is generated, a logic check may be performed on the risk decision logic map; and storing the risk decision logic map in case the logic check indicates that the preset requirements are met.
According to the embodiment of the disclosure, after the risk decision logic map is generated, the generated risk decision logic map is checked, for example, whether the decision flow is a unidirectional acyclic graph or not, the decision flow has no isolated logic points, each decision node operator returns data backward, and the like are checked. If a one-way acyclic graph exists or the decision flow has no isolated logic point, the writer can be prompted to check whether the error exists.
According to embodiments of the present disclosure, decision logic may be serialized and data deserialized prior to storage of the risk decision logic map. Through the embodiment of the disclosure, the efficiency of transmitting the decision logic at different module nodes can be improved.
According to embodiments of the present disclosure, a risk decision logic map may be optimized prior to storing the risk decision logic map. For example, the same logical blocks in the logical map may be communicatively associated.
According to the embodiment of the disclosure, by optimizing the logic map, the repeated calculation of the logic blocks in the logic map can be avoided, and the repeated calculation of the logic blocks or the node calculation performance problem caused by the level difference of the compiling experts can be reduced.
According to the embodiment of the disclosure, an editing window for adding available metadata and/or available operators can be displayed; acquiring editing operation input by a user based on an editing window; and adding available metadata and/or available operators in response to the configuration operation.
According to the embodiment of the disclosure, a rule expert can be provided with a window for adding operators or metadata at a logic node, and the rule expert can obtain the description of the operator logic operation, the method for using and the incidence relation associated with the actual operator logic.
According to the embodiment of the disclosure, the metadata types can be increased according to the actual situation of business development, so that the service interface has higher adaptability to interface data differentiation. Compared with the situation that an expert rule writer can only use the metadata fixed by the writing platform, the method has more flexible writing effect and higher adaptability to interface data differentiation. And the available data resource prompt with edibility can be provided for the rule expert.
According to the embodiment of the disclosure, a decision service call request is obtained; responding to the decision service calling request, and carrying out standardization processing on service calling parameter data in the decision service calling request to obtain decision data with a standard dimension data structure; performing risk logic operation according to the decision data to obtain a risk logic result; and displaying the risk logic result.
According to the embodiment of the disclosure, the service invocation parameter data in the decision service invocation request is standardized, for example, the input data can be checked and mapped onto the pre-designed standard dimension data structure in a unified manner.
Fig. 4 schematically illustrates a flow chart of a risk decision method according to an embodiment of the present disclosure.
As shown in fig. 4, the method includes operations S401 to S403.
In operation S401, a decision service invocation request is responded.
According to the embodiment of the disclosure, a user can initiate a decision service call through the service docking module, respond to a decision service call request, and normalize the service call entry parameter data, and the operation can be realized through a data mapping unit in the metadata transferring module.
In operation S402, data satisfying a preset data format is obtained by standardizing service invocation parameter data in the decision-making service invocation request.
In operation S403, a risk logical operation is performed according to data in a preset data format.
According to an embodiment of the present disclosure, the preset data format includes the following: the preset length of the field, the type, whether input is necessary, etc.
According to the embodiment of the disclosure, the decision result can be integrated and returned to the service docking module, so that the result is returned to the user.
Fig. 5 schematically illustrates a flow chart of a risk decision configuration method according to another embodiment of the present disclosure.
As shown in fig. 5, the method includes operations S501 to S503.
In operation S501, decision configuration data input by a user is standardized to obtain data satisfying a preset data format, and standardized available metadata is provided.
According to the embodiment of the disclosure, a user can define a risk data format with a uniform dimension.
In operation S502, a graphical list of different available operators and available metadata is provided.
In operation S503, a logical graph written by a user based on the graphical rules is generated according to the available metadata and the available operators to provide the graphical configuration logical combination.
According to the embodiment of the disclosure, a platform operable by a rule expert can be provided, a selected decision template is established, graphical expert rule editing is performed through the platform, and positioning and selection of logic nodes are performed.
According to the embodiment of the disclosure, the decision logic can be stored locally, and relevant logic check and optimization can be completed. For example, the logic correctness check of the decision logic map is realized, the local storage of the logic map is realized, and the optimization of the logic map is realized.
According to the embodiment of the disclosure, the executable code can be translated for the decision logic, data and operator filling is performed for the logic nodes in the decision map, and the filled logic map is converted by running script codes.
According to the embodiment of the disclosure, the translated executable code can be stored and pushed to the decision module.
According to the embodiment of the disclosure, on the basis of dynamic configuration of the logic map, flexible conversion can be provided for expert judgment codes of a fraud decision engine and visual configuration of an expert workbench. The method can provide an easy-to-use operation window for the rule expert, define more focused work and provide an enlightening available data resource prompt for the rule expert.
According to the embodiment of the disclosure, a flexible and easy-to-use interface graphical rule compiling mode is provided by means of unified metadata definition, rule logic tree, basic operator splitting and the like, and is directly mapped into an expert rule code which can be directly executed by a decision engine, so that real-time anti-fraud decision service is provided under the scene of credit card application service.
According to the embodiment of the disclosure, the standardization processing is performed according to the decision configuration data input by the user, the available metadata after the standardization processing is provided, the graphical list of the available operators is provided, and the logic map compiled by the user based on the graphical rule is generated, so that the technical problems of poor usability, slow iteration period and poor data configurability in the traditional expert rule compiling in the expert risk decision mode in the related technology are solved. The decision making and compiling mode can be graphically adjusted, unified dimension integration is carried out on stock data, a systematic graphical decision rule compiling module system structure is provided, expert rules are easy to compile, data adaptability is high, and real-time anti-fraud decision making service is provided under the scene of credit card application business.
It should be noted that, unless explicitly stated that there is an execution sequence between different operations or there is an execution sequence between different operations in technical implementation, the execution sequence between multiple operations may not be sequential, or multiple operations may be executed simultaneously in the flowchart in this disclosure.
According to an embodiment of the present disclosure, there is provided a risk decision configuration system including: the system comprises a visualization module, a logic base module and a translation module.
The visualization module is used for displaying the graphical interface and obtaining configuration operation input by a user based on the graphical interface, wherein the graphical interface comprises metadata and operators for configuring risk decision logic.
The logic library module is used for responding to the configuration operation and generating a risk decision logic map based on metadata and operators corresponding to the configuration operation.
The translation module is used for generating executable text according to the risk decision logic map.
According to an embodiment of the present disclosure, the risk decision configuration system may include other modules for implementing each operation in the above-described risk decision configuration method, in addition to the visualization module, the logic base module, and the translation module. For example, the risk decision configuration system may further include a decision module for obtaining a decision service invocation request; responding to the decision service calling request, and carrying out standardization processing on service calling parameter data in the decision service calling request to obtain decision data with a standard dimension data structure; performing risk logic operation according to the decision data to obtain a risk logic result; and displaying the risk logic result.
Fig. 6 schematically illustrates a block diagram of a risk decision configuration system according to an embodiment of the present disclosure.
As shown in fig. 6, in the risk decision configuration system 600, a metadata module 610, a base operator module 620, a visualization module 630, a logical library module 640, a translation module 650, an execution library module 660, and a decision module 670 are included.
The metadata module 610 is configured to normalize the decision configuration data input by the user to obtain data satisfying a preset data format, and to provide normalized available metadata for the visualization module 630.
According to an embodiment of the present disclosure, the metadata module 610 may be used to classify, define, and convert various types of metadata involved in the decision configuration. The metadata module 610 may provide a prompt service for the visualization module 630 to provide available metadata, and may also perform an expansion of metadata categories and definitions through the visualization module 630.
The basic operator module 620 is used for providing different operators and providing a graphical list of available operators for the visualization module;
the basic operator module 620 may be used to provide logical implementation of various types of operators according to embodiments of the present disclosure, and may be used to provide a graphical list of available operators to the visualization module 630; another aspect provides the translation module with operational logic regarding the specific execution of operators.
The visualization module 630 is used for providing graphical configuration logic combination according to the available metadata provided by the metadata module and the available operators provided by the basic operator module, so that a user can write a logic map based on graphical rules.
According to an embodiment of the present disclosure, the visualization module 630 is used to provide a graphical rule writing platform that facilitates rapid writing by expert rule writers. Graphical configuration logic combination operation can be performed by combining the existing operators provided by the basic operator module 620 according to the existing metadata provided by the metadata module 610; meanwhile, a new metadata adding type can be added according to the actual condition of service development and fed back to the metadata module 610.
According to an embodiment of the present disclosure, the visualization module 630 is further configured to receive a user input operation for adding a new metadata type, and feed back the newly added metadata type to the metadata module in response to the user input operation.
According to an embodiment of the present disclosure, the visualization module 630 is further configured to receive a user input operation for a newly added operator, and feed back the newly added operator to the base operator module in response to the user input operation.
The metadata module 610 is used for standardizing decision configuration data input by a user, namely, service entry parameter data is subjected to data integration of service view unified dimension, so that a rule expert can use available data more clearly.
According to the embodiment of the disclosure, a flexible conversion system can be provided for the expert discriminant code of the fraud decision engine and the visualization configuration of the expert workbench on the basis of the dynamic configuration of the visualization module 630. The system can provide an easy-to-use operation window for the rule expert, more concentrate on work, and provide an available data resource prompt with edibility for the rule expert. The system provides a flexible and easy-to-use interface graphical rule compiling mode by means of unified metadata definition, rule logic trees, basic operator splitting and the like, is directly mapped into an expert rule code which can be directly executed by a decision engine, and supports the provision of real-time anti-fraud decision service in the scene of credit card application service.
According to the embodiment of the disclosure, the decision configuration data input by a user is subjected to standardized processing through the metadata module, the available metadata after standardized processing is provided for the visualization module, the graphical list of available operators is provided for the visualization module through the basic operator module, and the logic graph compiled by the user based on the graphical rule is generated through the visualization module, so that the technical problems of poor usability, slow iteration period and poor data configurability in the traditional expert rule compiling in the expert risk decision mode in the related technology are solved. The decision making and compiling mode can be graphically adjusted, unified dimension integration is carried out on stock data, a systematic graphical decision rule compiling module system structure is provided, expert rules are easy to compile, data adaptability is high, and real-time anti-fraud decision making service is provided under the scene of credit card application business.
The metadata module 610 may be communicatively coupled to the visualization module 630 and the decision module 670, according to embodiments of the present disclosure.
According to an embodiment of the disclosure, the repository module 640 may be communicatively coupled to the visualization module 630 and the translation module 650.
The base operator module 620 may be communicatively coupled to the visualization module 630 and the translation module 650, according to embodiments of the present disclosure.
According to an embodiment of the present disclosure, the execution library module 660 may be communicatively coupled with the translation module 650, the decision module 670.
The decision module 670 may be communicatively coupled with the execution library module 660 and the service docking module according to embodiments of the present disclosure.
According to the embodiment of the disclosure, the logic library module 640 is configured to receive and store the logic map transmitted by the visualization module, wherein a user may compile the logic map based on the graphical rules provided by the visualization module.
According to the embodiment of the disclosure, the visualization module 630 converts the graph and the logical map through the logical library module 640 based on the graphically edited rule, and performs related storage.
According to the embodiment of the present disclosure, the translation module 650 is configured to receive the logical map transmitted by the logic library module 640, and fill the logical map according to the operator implementation logic provided by the basic operator module 620, so as to generate a code text.
According to an embodiment of the present disclosure, translation module 650 may be configured to populate node slots in the logical graph, including data nodes and operator nodes, and translate into code text that may be directly executed by decision module 670.
According to the embodiment of the disclosure, the risk decision configuration system 600 relates to the content of multiple fields such as data analysis, data storage, data transmission, text translation, service invocation and the like, provides a flexible and easy-to-use interface graphical rule writing mode by means of unified metadata definition, rule logic tree, basic operator splitting and the like, is directly mapped into an expert rule code which can be directly executed by a decision engine through a translation module 650, and supports the provision of real-time anti-fraud decision service in scenes such as credit card application business and the like.
The execution library module 660 is used to store code text transmitted by the translation module 650 for invocation by the decision module 670, according to embodiments of the present disclosure.
According to the embodiment of the present disclosure, the decision module 670 is configured to obtain a decision service invocation request, and perform risk logic operation according to data in a preset data format obtained by processing by the metadata module 610, so as to obtain a risk judgment result.
According to the embodiment of the present disclosure, the metadata module 610 is further configured to perform standardized processing on service invocation parameter data in the decision service invocation request obtained by the decision module, so as to obtain data in a preset data format for the decision module to use.
According to the embodiment of the disclosure, the metadata module 610, the basic operator module 620, the visualization module 630, the logic library module 640, the translation module 650, the execution library module 660 and the decision module 670 may be stored in a distributed manner, so that the coupling degree between the modules is reduced.
According to the embodiment of the disclosure, the decision configuration data input by a user is subjected to standardized processing through the metadata module, the available metadata after standardized processing is provided for the visualization module, the graphical list of available operators is provided for the visualization module through the basic operator module, and the logic graph compiled by the user based on the graphical rule is generated through the visualization module, so that the technical problems of poor usability, slow iteration period and poor data compatibility in the traditional expert rule compiling method for solving the expert risk decision mode in the field of credit card application business are solved. The decision making and compiling mode can be graphically adjusted, unified dimension integration is carried out on stock data, a systematic graphical decision rule compiling module system structure is provided, expert rules are easy to compile, data adaptability is high, and real-time anti-fraud decision making service is provided under the scene of credit card application business.
Referring now to fig. 7-13, the risk decision configuration system shown in fig. 6 is further described in conjunction with specific embodiments.
Fig. 7 schematically shows a structure diagram of a metadata module according to an embodiment of the present disclosure.
As shown in fig. 7, the metadata module 610 includes a business domain defining unit 611, a feature dimension defining unit 612, a field specification defining unit 613, and a data mapping unit 614.
The business domain defining unit 611 is configured to classify each metadata according to the business domain.
The feature dimension defining unit 612 is configured to perform feature division on each metadata according to different feature dimensions in the category divided by the service domain defining unit.
The field specification defining unit 613 is configured to limit a data format of each metadata, where the data format includes: length of field, type, whether input is necessary.
The data mapping unit 614 is configured to perform normalization processing on the service call parameter data, and convert the service call parameter data into a standard risk field according to a data format.
According to the embodiment of the present disclosure, the service domain defining unit 611 may be configured to perform a large class distinction of metadata for common service domains in the credit card application service, manage metadata differences based on each service type such as credit card and special term, and go to the feature dimension defining unit 612 after defining metadata definition by a domain.
According to an embodiment of the present disclosure, the feature dimension defining unit 612 may integrate the metadata according to a fixed dimension, so as to reduce a data coupling degree in a data using process. Generally, it can be divided into several fixed large categories such as customer dimension, account dimension, device dimension, address dimension, etc. After the metadata dimension major class is determined, a field specification defining unit 613 may be performed.
According to an embodiment of the present disclosure, the field specification defining unit 613 may enforce restrictions on the format of each metadata, such as information on the length, type, whether or not a field is necessary, meaning, and the like of a field, while providing enforcement checking of specific data in a predefined format.
According to an embodiment of the present disclosure, the data mapping unit 614 may be invoked independently by the decision module 670, and is mainly configured to perform data standardization processing on the service request entry parameter, on one hand, perform data format verification, and on the other hand, convert each field into a standard risk field according to a metadata format, and integrate according to a uniform dimension.
Fig. 8 schematically shows a block diagram of a visualization module according to an embodiment of the present disclosure.
As shown in fig. 8, the visualization module 630 includes a type template unit 631, a primitive operation unit 632, and a logic retrieval unit 633.
According to an embodiment of the present disclosure, the type template unit 631 is configured to provide a centralized mainstream template for risk expert patterns, such as decision trees, decision streams, decision graphs, decision tables, etc., giving great efficiency improvements to the writer in visualization. The creation of the type template will introduce an empty logical slot template, each of which can nest logical blocks in a recursive manner. The unit passes to the primitive operation unit 632 after completion.
According to the embodiment of the present disclosure, the primitive operation unit 632 is configured to receive the logical slot template transmitted from the type template unit 631, and an expert can nest the logical blocks in the logical slot template by editing each logical slot, where the logical blocks may be a single data primitive or an operator primitive with the data primitive as an input parameter.
According to an embodiment of the present disclosure, the logical retrieval unit 633 is configured to provide a retrieval function of a logical node, and/or provide a retrieval function of a partial view. In the course of large logical slot editing, editing can become complex, often involving editing across nodes, and logical node retrieval can be performed through the cell and a retrieval partial view provided.
FIG. 9 schematically shows a block diagram of a library module according to an embodiment of the disclosure.
As shown in fig. 9, the library module 640 includes a logical check unit 641, a serialization unit 642, a logical storage unit 643, and a logical optimization unit 644.
According to an embodiment of the present disclosure, the logic checking unit 641 is configured to check the decision logic submitted by the visualization module 630, for example: whether the decision flow is a unidirectional acyclic graph or not, whether the decision flow has no isolated logic point, whether each decision node operator returns office data backwards or not, and the like, wherein the logical storage unit 643 is transferred after the node processing is completed.
According to the embodiment of the present disclosure, the serialization unit 642 is used to improve the efficiency of transmitting the decision logic at different module nodes, and serializes all transmitted decision logics through the unit; in addition, the decision logic is responsible for deserializing the data before the module is stored.
According to the embodiment of the present disclosure, the logic storage unit 643 is configured to locally store the decision logic, which on the one hand may provide executable translation; another aspect may provide visualization module 630 to modify the decision logic again. The node processes the post-processing logic optimization unit 644.
According to an embodiment of the present disclosure, the logic optimization unit 644 is configured to optimize the logic map to avoid repeated calculation of logic blocks in the logic map. The unit can be used for reducing repeated calculation of logic blocks or the problem of node calculation performance caused by level difference of writing experts, and the logic blocks are stored locally after decision logic is automatically adjusted. The processing unit performs the translation of the text by the translation module 650 upon completion.
FIG. 10 schematically shows a block diagram of a translation module according to an embodiment of the disclosure.
As shown in fig. 10, the translation module 650 includes a data slot fill unit 651, an operator fill unit 652, and a run translation unit 653.
According to the embodiment of the present disclosure, the data slot filling unit 651 is configured to fill data fields into data slots in the logical map according to the logical map transmitted by the logical library module 640, in combination with the metadata definition, and convert the data fields into data slots in the logical map for processing by the operator filling unit 652.
According to the embodiment of the present disclosure, the operator padding unit 652 is configured to pad the operator logic into the operator slot in the logical map according to the logical map of the padding data in combination with the operator calculation logic defined in the basic operator module 620, and to run the translation unit 653 for processing.
The run translation unit 653 is used to perform scripting language conversion on the logical graph populated with data, operators, which may be performed by the decision module 670, according to embodiments of the present disclosure.
FIG. 11 schematically shows a block diagram of a base operator module according to an embodiment of the disclosure.
As shown in fig. 11, the basic operator module 620 includes an operator description unit 621, an operator storage unit 622, and an operator reference unit 623.
According to the embodiment of the present disclosure, the operator description unit 621 is configured to associate with the visualization module 630, and provide the rule expert with a window for adding an operator at a logical node, so as to obtain an operator logical operation description, a method used by the operator logical operation description, and an association relationship generated by association with actual operator logic.
According to the embodiment of the present disclosure, the operator storage unit 622 is used for storing actual operator calculation logic, and is connected to the translation module 650, and during translation, according to the operators filled in the operator slots in the decision map, the corresponding operator logic is retrieved for the translation module 650 to use.
FIG. 12 schematically shows a block diagram of an execution library module according to an embodiment of the disclosure.
As shown in fig. 12, the execution library module 660 includes an execution storage unit 661 and an execution push unit 662.
According to an embodiment of the present disclosure, the execution storage unit 661 is configured to store the decision graph execution script code translated by the translation module 650, so as to be used when making a decision call.
According to an embodiment of the present disclosure, the execution pushing unit 662 is configured to update the execution code segment to all nodes of the distributed decision module 670, keeping the execution logic of the decision module 670 consistent.
FIG. 13 schematically shows a block diagram of a decision module according to an embodiment of the disclosure.
As shown in fig. 13, the decision module 670 includes an entry normalization unit 671, a decision engine unit 672, and a decision result integration unit 673.
The entry standardization unit 671 is configured to perform verification on the input data and map the input data to a standard dimension data structure in the field related to credit card application through the data mapping unit 614 in the metadata module 610.
The decision engine unit 672 is used for executing decision calculation according to the execution code pushed by the translation execution library module 660 and by combining the normalized data converted by the normalization unit 671.
The decision result integration unit 673 is configured to receive the logic result processed by the decision engine 672 unit, convert the logic result into a semantic format that can be identified by the caller, and return decision result data to the service docking module. The risk decision request can be received by the service docking module, the decision logic pushed by the execution library module 660 is used as a calculation basis for judgment and calculation, and the result is returned to the service docking module.
Any number of modules, sub-modules, units, sub-units, or at least part of the functionality of any number thereof according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules, sub-modules, units, and sub-units according to the embodiments of the present disclosure may be implemented by being split into a plurality of modules. Any one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in any other reasonable manner of hardware or firmware by integrating or packaging a circuit, or in any one of or a suitable combination of software, hardware, and firmware implementations. Alternatively, one or more of the modules, sub-modules, units, sub-units according to embodiments of the disclosure may be at least partially implemented as a computer program module, which when executed may perform the corresponding functions.
For example, any number of data module 610, base operator module 620, visualization module 630, library logic module 640, translation module 650, execution library module 660, decision module 670 may be combined in one module/unit/subunit or any one of them may be split into multiple modules/units/subunits. Alternatively, at least part of the functionality of one or more of these modules/units/sub-units may be combined with at least part of the functionality of other modules/units/sub-units and implemented in one module/unit/sub-unit. According to an embodiment of the present disclosure, at least one of the data module 610, the base operator module 620, the visualization module 630, the logic library module 640, the translation module 650, the execution library module 660, the decision module 670 may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or in any one of three implementations of software, hardware, and firmware, or in a suitable combination of any of them. Alternatively, at least one of data module 610, base operator module 620, visualization module 630, library logic module 640, translation module 650, execution library module 660, decision module 670 may be implemented at least in part as a computer program module that, when executed, may perform a corresponding function.
An embodiment of the present disclosure provides an electronic device, including: one or more processors; a memory to store one or more instructions, wherein the one or more instructions, when executed by the one or more processors, cause the one or more processors to implement the system as described above.
FIG. 14 schematically illustrates a block diagram of a computer system suitable for implementing the risk decision configuration method and system described above, according to an embodiment of the present disclosure. The computer system illustrated in FIG. 14 is only one example and should not impose any limitations on the scope of use or functionality of embodiments of the disclosure.
As shown in fig. 14, a computer system 1400 according to an embodiment of the present disclosure includes a processor 1401, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)1402 or a program loaded from a storage portion 1408 into a Random Access Memory (RAM) 1403. Processor 1401 may comprise, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 1401 may also include onboard memory for caching purposes. Processor 1401 may include a single processing unit or multiple processing units for performing different actions of a method flow according to embodiments of the present disclosure.
In the RAM 1403, various programs and data necessary for the operation of the system 1400 are stored. The processor 1401, the ROM 1402, and the RAM 1403 are connected to each other by a bus 1404. The processor 1401 performs various operations of the method flow according to the embodiments of the present disclosure by executing programs in the ROM 1402 and/or the RAM 1403. Note that the programs may also be stored in one or more memories other than ROM 1402 and RAM 1403. The processor 1401 may also perform various operations of the method flows according to the embodiments of the present disclosure by executing programs stored in the one or more memories.
According to an embodiment of the present disclosure, system 1400 may also include an input/output (I/O) interface 1405, which input/output (I/O) interface 1405 is also connected to bus 1404. The system 1400 may also include one or more of the following components connected to the I/O interface 1405: an input portion 1406 including a keyboard, a mouse, and the like; an output portion 1407 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker and the like; a storage portion 1408 including a hard disk and the like; and a communication portion 1409 including a network interface card such as a LAN card, a modem, or the like. The communication section 1409 performs communication processing via a network such as the internet. The driver 1410 is also connected to the I/O interface 1405 as necessary. A removable medium 1411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 1410 as necessary, so that a computer program read out therefrom is installed into the storage section 1408 as necessary.
According to embodiments of the present disclosure, method flows according to embodiments of the present disclosure may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 1409 and/or installed from the removable medium 1411. The computer program, when executed by the processor 1401, performs the above-described functions defined in the system of the embodiment of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.
According to an embodiment of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium. Examples may include, but are not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
For example, according to embodiments of the present disclosure, a computer-readable storage medium may include one or more memories other than ROM 1402 and/or RAM 1403 and/or ROM 1402 and RAM 1403 described above.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.
The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.
Claims (10)
1. A risk decision configuration method, comprising:
displaying a graphical interface, wherein the graphical interface comprises metadata and operators for configuring risk decision logic;
acquiring configuration operation input by a user based on the graphical interface;
generating a risk decision logic graph based on metadata and operators corresponding to the configuration operation in response to the configuration operation; and
and generating an executable text according to the risk decision logic map.
2. The method of claim 1, wherein, in response to the configuration operation, generating a risk decision logical graph based on metadata and operators corresponding to the configuration operation comprises:
filling metadata corresponding to the configuration operation into a data slot, and filling an operator corresponding to the configuration operation into an operator slot; and
and generating the risk decision logic map according to the data slots and the operator slots.
3. The method of claim 1, after generating the risk decision logic map, the method further comprising:
acquiring retrieval operation for retrieving a target logical node; and
locating the target logical node in the risk decision logical graph in response to the retrieving operation.
4. The method of claim 1, after generating the risk decision logic map, the method further comprising:
performing a logical check on the risk decision logic map; and
and storing the risk decision logic map under the condition that the logic check shows that the preset requirement is met.
5. The method of claim 4, further comprising:
optimizing the risk decision logic map prior to storing the risk decision logic map.
6. The method of claim 1, further comprising:
displaying an editing window for newly adding available metadata and/or available operators;
acquiring editing operation input by a user based on the editing window; and
in response to the configuration operation, available metadata and/or available operators are newly added.
7. The method of claim 1, further comprising:
acquiring a decision service calling request;
responding to the decision service calling request, and carrying out standardization processing on service calling input parameter data in the decision service calling request to obtain decision data with a standard dimension data structure;
performing risk logic operation according to the decision data to obtain a risk logic result; and
and displaying the risk logic result.
8. A risk decision configuration system, comprising:
the system comprises a visualization module, a risk decision logic generation module and a risk decision logic generation module, wherein the visualization module is used for displaying a graphical interface and acquiring configuration operation input by a user based on the graphical interface, and the graphical interface comprises metadata and operators for configuring the risk decision logic;
the logic library module is used for responding to the configuration operation and generating a risk decision logic map based on metadata and operators corresponding to the configuration operation; and
and the translation module is used for generating an executable text according to the risk decision logic map.
9. An electronic device, comprising:
one or more processors;
a memory to store one or more instructions that,
wherein the one or more instructions, when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to carry out the method of any one of claims 1 to 7.
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