CN113032435A - Data processing method and device for risk assessment - Google Patents
Data processing method and device for risk assessment Download PDFInfo
- Publication number
- CN113032435A CN113032435A CN202110294855.XA CN202110294855A CN113032435A CN 113032435 A CN113032435 A CN 113032435A CN 202110294855 A CN202110294855 A CN 202110294855A CN 113032435 A CN113032435 A CN 113032435A
- Authority
- CN
- China
- Prior art keywords
- data
- feature
- evaluated
- user
- service
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012502 risk assessment Methods 0.000 title claims abstract description 40
- 238000003672 processing method Methods 0.000 title claims abstract description 20
- 238000012545 processing Methods 0.000 claims abstract description 36
- 238000011156 evaluation Methods 0.000 claims abstract description 12
- 238000007781 pre-processing Methods 0.000 claims abstract description 12
- 238000013210 evaluation model Methods 0.000 claims abstract description 8
- 238000012216 screening Methods 0.000 claims description 31
- 238000013507 mapping Methods 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 19
- 238000010586 diagram Methods 0.000 description 4
- 238000010276 construction Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
Images
Classifications
-
- 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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
-
- 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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24564—Applying rules; Deductive queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
Abstract
The application discloses a data processing method and device for risk assessment. The method comprises the following steps: acquiring service end requirement data when a service end carries out risk assessment on a user to be assessed; identifying user data to be evaluated corresponding to the service demand data, and preprocessing the user data to be evaluated to obtain the characteristic data to be evaluated; and processing the characteristic data to be evaluated based on a preset risk evaluation model to obtain risk scoring data of the user to be evaluated. The method and the device have the advantages that the risk score of the user to be evaluated is obtained by processing the data to be evaluated of the user to be evaluated and combining the preset risk model, so that the efficiency of risk evaluation on the user is improved, and the efficiency of risk evaluation on the user to be evaluated by business personnel is improved.
Description
Technical Field
The present application relates to the field of computers, and in particular, to a data processing method and apparatus for risk assessment.
Background
In the prior art, risk assessment is performed on a user, so that risk avoidance is facilitated, in the existing risk assessment process, the dependence on service personnel is high, and for a user to be assessed with large data volume, the speed of risk assessment is low, so that the technical problem of low efficiency exists in risk assessment on the user in the prior art.
Content of application
The main purpose of the present application is to provide a data processing method and apparatus for risk assessment, which are used for processing data to be assessed of a user to be assessed, and obtaining a risk score of the user to be assessed through a risk model, so as to solve the technical problem of low risk assessment efficiency in the prior art.
In order to achieve the above object, the present application proposes a data processing method for risk assessment.
In a second aspect of the present application, a data processing apparatus for risk assessment is presented.
In a third aspect of the present application, a computer-readable storage medium is presented.
In view of the above, according to a first aspect of the present application, a data processing method for risk assessment is provided, including: when a service end carries out risk assessment on a user to be assessed, acquiring service end demand data, wherein the service end demand data is user data to be assessed by the service end; identifying user data to be evaluated corresponding to the service demand data, and preprocessing the user data to be evaluated to obtain the characteristic data to be evaluated; and processing the characteristic data to be evaluated based on a preset risk evaluation model to obtain risk scoring data of the user to be evaluated.
Further, identifying user data to be evaluated corresponding to the service demand data, and preprocessing the user data to be evaluated to obtain the feature data to be evaluated, including: identifying the user data to be evaluated to obtain the service data of the user to be evaluated; and matching feature data corresponding to the service data in a preset feature database based on the service data, wherein the preset feature database stores the mapping relation between the service data and the feature data.
Further, identifying user data to be evaluated corresponding to the service demand data, and preprocessing the user data to be evaluated to obtain the feature data to be evaluated, including: identifying the service end demand data, and matching a feature screening rule corresponding to the service end demand data in a preset rule database, wherein the preset feature database stores a mapping relation between the service end demand data and the feature screening rule; and processing the feature data based on the feature screening rule to obtain first feature data, wherein the first feature data are the feature data which accord with the feature screening rule.
Further, identifying user data to be evaluated corresponding to the service demand data, preprocessing the user data to be evaluated, and obtaining the feature data to be evaluated, further comprising: processing the first feature data based on a preset feature association rule to obtain the feature data to be evaluated, wherein the feature data to be evaluated comprises the first feature data and associated feature data of the first feature data.
Further, based on a preset risk assessment model, processing the feature data to be assessed to obtain risk score data of the user to be assessed, including: identifying the characteristic data to be evaluated, traversing a preset characteristic code database, and acquiring characteristic code data corresponding to the characteristic data to be evaluated; and processing the feature code data based on the preset risk assessment model to obtain the risk score data, wherein the risk score data is the risk score of the user to be assessed.
According to a second aspect of the present application, a data processing apparatus for risk assessment is presented, comprising: the system comprises a data acquisition module, a risk evaluation module and a risk evaluation module, wherein the data acquisition module is used for acquiring service end demand data when a service end carries out risk evaluation on a user to be evaluated, and the service end demand data is user data which needs to be evaluated by the service end; the characteristic data module is used for identifying user data to be evaluated corresponding to the service demand data, preprocessing the user data to be evaluated and acquiring the characteristic data to be evaluated; and the result module is used for processing the characteristic data to be evaluated based on a preset risk evaluation model and acquiring the risk scoring data of the user to be evaluated.
Further, a feature data module, comprising: the characteristic acquisition module is used for identifying the user data to be evaluated and acquiring the service data of the user to be evaluated; and matching feature data corresponding to the service data in a preset feature database based on the service data, wherein the preset feature database stores the mapping relation between the service data and the feature data.
Further, a feature data module, comprising: the feature screening module is used for identifying the service end demand data and matching a feature screening rule corresponding to the service end demand data in a preset rule database, wherein the preset feature database stores a mapping relation between the service end demand data and the feature screening rule; and processing the feature data based on the feature screening rule to obtain first feature data, wherein the first feature data are the feature data which accord with the feature screening rule.
Further, the feature data module further includes: and the feature association module is used for processing the first feature data based on a preset feature association rule to acquire the feature data to be evaluated, wherein the feature data to be evaluated comprises the first feature data and associated feature data of the first feature data.
According to a third aspect of the present application, a computer-readable storage medium is proposed, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, carries out the steps of the data processing method for risk assessment as described above.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
in the method, the data to be evaluated of a user to be evaluated is obtained by identifying the demand data of business end personnel, the data to be evaluated is identified and matched with the feature data, the feature data is screened based on the demand data, the feature data of the feature screening rule is obtained, the feature data to be evaluated is obtained based on the preset association rule, the feature data to be evaluated is traversed through a feature code database, the feature code data is obtained, and the preset risk model is used for processing the feature code data to obtain the risk scoring data of the user to be evaluated. According to the method and the device, the to-be-evaluated data of the to-be-evaluated user are processed, the preset risk model is combined, the risk score of the to-be-evaluated user is obtained, the efficiency of risk evaluation of the user is improved, and the efficiency of risk evaluation of the to-be-evaluated user by business personnel is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
fig. 1 is a schematic flow chart of a data processing method for risk assessment provided in the present application;
FIG. 2 is a schematic flow chart of a data processing method for risk assessment according to the present application;
FIG. 3 is a schematic flow chart of a data processing method for risk assessment according to the present application
FIG. 4 is a schematic structural diagram of a data processing apparatus for risk assessment provided in the present application;
fig. 5 is a schematic structural diagram of another data processing apparatus for risk assessment provided in the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
Furthermore, the terms "mounted," "disposed," "provided," "connected," and "sleeved" are to be construed broadly. For example, "connected" may be a fixed connection, a detachable connection, or a unitary construction; can be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements or components. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
Fig. 1 is a schematic flowchart of a data processing method for risk assessment provided in the present application, as shown in fig. 1, the method includes the following steps:
s101: when a service end carries out risk assessment on a user to be assessed, acquiring service end demand data, wherein the service end demand data is user data to be assessed by the service end;
when the business end carries out risk assessment on a user to be assessed, acquiring the demand data of the business end, wherein the demand data of the business end is the demand data generated in the process of carrying out risk assessment on the user.
S102: identifying user data to be evaluated corresponding to the service demand data, and preprocessing the user data to be evaluated to obtain the characteristic data to be evaluated;
fig. 2 is a schematic flowchart of a data processing method for risk assessment provided in the present application, and as shown in fig. 2, the method includes the following steps:
s201: identifying the user data to be evaluated to obtain the service data of the user to be evaluated; matching feature data corresponding to the service data in a preset feature database based on the service data;
identifying the user data to be evaluated, matching the service data of the user to be evaluated based on the user data to be evaluated, and matching the service data corresponding to the identification data in a preset service database based on the identification data by identifying the identification data of the user to be evaluated; acquiring time data in service end demand data, collecting the user data to be evaluated based on the time data, and matching service data corresponding to the time data.
And matching feature data corresponding to the service data in a preset feature database based on the service data, wherein the preset feature database stores the mapping relation between the service data and the feature data.
S202: identifying the service end demand data, and matching a feature screening rule corresponding to the service end demand data in a preset rule database;
and identifying corresponding characteristic screening rules in the service end demand data, wherein the characteristic screening rules comprise characteristic screening rules such as characteristic correlation, information value indexes, characteristic loss rate, characteristic stability, characteristic importance and the like.
S203: processing the feature data based on the feature screening rule to obtain first feature data;
the first feature data are feature data which accord with the feature screening rule.
S204: and processing the first feature data based on a preset feature association rule to obtain the feature data to be evaluated.
The feature data to be evaluated comprises first feature data and associated feature data of the first feature data, the feature data have correlation, the associated feature data of the first feature data are obtained based on a preset feature association rule, and the feature data to be evaluated are obtained.
S103: and processing the characteristic data to be evaluated based on a preset risk evaluation model to obtain risk scoring data of the user to be evaluated.
Fig. 3 is a schematic flowchart of a data processing method for risk assessment provided in the present application, and as shown in fig. 3, the method includes the following steps:
s301: identifying the characteristic data to be evaluated, traversing a preset characteristic code database, and acquiring characteristic code data corresponding to the characteristic data to be evaluated;
and traversing a preset feature code database, and acquiring feature code data corresponding to the feature data to be evaluated, namely acquiring feature code data of the first feature data and associated data of the first feature data, and acquiring SQL code data of the feature data to be evaluated.
S302: and processing the feature code data based on the preset risk assessment model to obtain the risk scoring data.
And processing the feature construction code data based on the preset risk assessment model to obtain a risk score of the user to be assessed corresponding to the construction features.
And outputting the risk scoring data to a service end, so that service personnel can conveniently judge the user to be evaluated based on the risk scoring data to achieve the effect of avoiding transaction risk.
Fig. 4 is a schematic structural diagram of a data processing apparatus for risk assessment provided in the present application, as shown in fig. 4,
the data obtaining module 41 is configured to obtain service end requirement data when a service end performs risk assessment on a user to be assessed, where the service end requirement data is user data that the service end needs to assess;
the feature data module 42 is configured to identify user data to be evaluated corresponding to the service demand data, and pre-process the user data to be evaluated to obtain the feature data to be evaluated;
and the result module 43 processes the feature data to be evaluated based on a preset risk evaluation model, and obtains risk score data of the user to be evaluated.
Fig. 5 is a schematic structural diagram of a data processing apparatus for risk assessment according to the present application, as shown in fig. 5,
a feature obtaining module 51, configured to identify the user data to be evaluated, and obtain service data of the user to be evaluated; and matching feature data corresponding to the service data in a preset feature database based on the service data, wherein the preset feature database stores the mapping relation between the service data and the feature data.
The feature screening module 52 is configured to identify the service end requirement data, and match a feature screening rule corresponding to the service end requirement data in a preset rule database, where a mapping relationship between the service end requirement data and the feature screening rule is stored in the preset feature database;
and processing the feature data based on the feature screening rule to obtain first feature data, wherein the first feature data are the feature data which accord with the feature screening rule.
A feature association module 53, configured to process the first feature data based on a preset feature association rule, and obtain the feature data to be evaluated, where the feature data to be evaluated includes the first feature data and associated feature data of the first feature data.
The specific manner of executing the operations of the units in the above embodiments has been described in detail in the embodiments related to the method, and will not be elaborated herein.
In summary, in the present application, demand data of service end personnel is identified to obtain data to be evaluated of a user to be evaluated, the data to be evaluated is identified to match the feature data, the feature data is screened based on the demand data to obtain feature data of the feature screening rule, the feature data to be evaluated is obtained based on a preset association rule, a feature code database is traversed to obtain feature code data, a preset risk model is used to process the feature code data to obtain risk scoring data of the user to be evaluated. According to the method and the device, the to-be-evaluated data of the to-be-evaluated user are processed, the preset risk model is combined, the risk score of the to-be-evaluated user is obtained, the efficiency of risk evaluation of the user is improved, and the efficiency of risk evaluation of the to-be-evaluated user by business personnel is improved.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
It will be apparent to those skilled in the art that the various elements or steps of the present application described above may be implemented by a general purpose computing device, centralized on a single computing device or distributed across a network of multiple computing devices, or alternatively, may be implemented by program code executable by a computing device, such that the program code may be stored in a memory device and executed by a computing device, or may be implemented by individual integrated circuit modules, or by a plurality of modules or steps included in the program code as a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A data processing method for risk assessment, comprising:
when a service end carries out risk assessment on a user to be assessed, acquiring service end demand data, wherein the service end demand data is user data to be assessed by the service end;
identifying user data to be evaluated corresponding to the service demand data, and preprocessing the user data to be evaluated to obtain the characteristic data to be evaluated;
and processing the characteristic data to be evaluated based on a preset risk evaluation model to obtain risk scoring data of the user to be evaluated.
2. The data processing method according to claim 1, wherein identifying user data to be evaluated corresponding to the service demand data, and preprocessing the user data to be evaluated to obtain the feature data to be evaluated comprises:
identifying the user data to be evaluated to obtain the service data of the user to be evaluated;
and matching feature data corresponding to the service data in a preset feature database based on the service data, wherein the preset feature database stores the mapping relation between the service data and the feature data.
3. The data processing method according to claim 1 or claim 2, wherein identifying user data to be evaluated corresponding to the service demand data, and preprocessing the user data to be evaluated to obtain the feature data to be evaluated comprises:
identifying the service end demand data, and matching a feature screening rule corresponding to the service end demand data in a preset rule database, wherein the preset feature database stores a mapping relation between the service end demand data and the feature screening rule;
and processing the feature data based on the feature screening rule to obtain first feature data, wherein the first feature data are the feature data which accord with the feature screening rule.
4. The data processing method according to claim 3, wherein the identifying of the user data to be evaluated corresponding to the service demand data and the preprocessing of the user data to be evaluated are performed to obtain the feature data to be evaluated, further comprises:
processing the first feature data based on a preset feature association rule to obtain the feature data to be evaluated, wherein the feature data to be evaluated comprises the first feature data and associated feature data of the first feature data.
5. The data processing method according to claim 1, wherein the processing the feature data to be evaluated based on a preset risk evaluation model to obtain risk score data of a user to be evaluated comprises:
identifying the characteristic data to be evaluated, traversing a preset characteristic code database, and acquiring characteristic code data corresponding to the characteristic data to be evaluated;
and processing the feature code data based on the preset risk assessment model to obtain the risk score data, wherein the risk score data is the risk score of the user to be assessed.
6. A data processing apparatus for risk assessment, comprising:
the system comprises a data acquisition module, a risk evaluation module and a risk evaluation module, wherein the data acquisition module is used for acquiring service end demand data when a service end carries out risk evaluation on a user to be evaluated, and the service end demand data is user data which needs to be evaluated by the service end;
the characteristic data module is used for identifying user data to be evaluated corresponding to the service demand data, preprocessing the user data to be evaluated and acquiring the characteristic data to be evaluated;
and the result module is used for processing the characteristic data to be evaluated based on a preset risk evaluation model and acquiring the risk scoring data of the user to be evaluated.
7. The data processing apparatus of claim 6, wherein the profile data module comprises:
the characteristic acquisition module is used for identifying the user data to be evaluated and acquiring the service data of the user to be evaluated;
and matching feature data corresponding to the service data in a preset feature database based on the service data, wherein the preset feature database stores the mapping relation between the service data and the feature data.
8. The data processing apparatus of claim 6 or claim 7, wherein the feature data module comprises:
the feature screening module is used for identifying the service end demand data and matching a feature screening rule corresponding to the service end demand data in a preset rule database, wherein the preset feature database stores a mapping relation between the service end demand data and the feature screening rule;
and processing the feature data based on the feature screening rule to obtain first feature data, wherein the first feature data are the feature data which accord with the feature screening rule.
9. The data processing apparatus of claim 8, wherein the profile data module further comprises:
and the feature association module is used for processing the first feature data based on a preset feature association rule to acquire the feature data to be evaluated, wherein the feature data to be evaluated comprises the first feature data and associated feature data of the first feature data.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the data processing method for risk assessment according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110294855.XA CN113032435A (en) | 2021-03-18 | 2021-03-18 | Data processing method and device for risk assessment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110294855.XA CN113032435A (en) | 2021-03-18 | 2021-03-18 | Data processing method and device for risk assessment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113032435A true CN113032435A (en) | 2021-06-25 |
Family
ID=76471851
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110294855.XA Pending CN113032435A (en) | 2021-03-18 | 2021-03-18 | Data processing method and device for risk assessment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113032435A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113610627A (en) * | 2021-07-27 | 2021-11-05 | 浙江惠瀜网络科技有限公司 | Data processing method and device for risk early warning |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107067157A (en) * | 2017-03-01 | 2017-08-18 | 北京奇艺世纪科技有限公司 | Business risk appraisal procedure, device and air control system |
| CN110414806A (en) * | 2019-07-10 | 2019-11-05 | 平安科技（深圳）有限公司 | Employee's method for prewarning risk and relevant apparatus |
| CN111950889A (en) * | 2020-08-10 | 2020-11-17 | 中国平安人寿保险股份有限公司 | Client risk assessment method and device, readable storage medium and terminal equipment |
-
2021
- 2021-03-18 CN CN202110294855.XA patent/CN113032435A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107067157A (en) * | 2017-03-01 | 2017-08-18 | 北京奇艺世纪科技有限公司 | Business risk appraisal procedure, device and air control system |
| CN110414806A (en) * | 2019-07-10 | 2019-11-05 | 平安科技（深圳）有限公司 | Employee's method for prewarning risk and relevant apparatus |
| CN111950889A (en) * | 2020-08-10 | 2020-11-17 | 中国平安人寿保险股份有限公司 | Client risk assessment method and device, readable storage medium and terminal equipment |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113610627A (en) * | 2021-07-27 | 2021-11-05 | 浙江惠瀜网络科技有限公司 | Data processing method and device for risk early warning |
| CN113610627B (en) * | 2021-07-27 | 2024-02-02 | 浙江惠瀜网络科技有限公司 | Data processing method and device for risk early warning |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20210035126A1 (en) | Data processing method, system and computer device based on electronic payment behaviors | |
| RU2012144649A (en) | PRODUCT SYNTHESIS FROM MULTIPLE SOURCES | |
| CN109345417B (en) | Online assessment method and terminal equipment for business personnel based on identity authentication | |
| JP6428795B2 (en) | Model generation method, word weighting method, model generation device, word weighting device, device, computer program, and computer storage medium | |
| CN103309869B (en) | Method and system for recommending display keyword of data object | |
| EP2996048A1 (en) | Method and device for processing information | |
| CN108108426A (en) | Understanding method, device and the electronic equipment that natural language is putd question to | |
| CN104537341A (en) | Human face picture information obtaining method and device | |
| CN110610431A (en) | Intelligent claim settlement method and intelligent claim settlement system based on big data | |
| US20200074509A1 (en) | Business data promotion method, device, terminal and computer-readable storage medium | |
| CN106156130B (en) | A kind of data processing method and device | |
| CN106294676B (en) | A kind of data retrieval method of ecommerce government system | |
| CN110175152A (en) | A kind of log inquiring method, transfer server cluster and log query system | |
| CN109062936A (en) | A kind of data query method, computer readable storage medium and terminal device | |
| CN111639077B (en) | Data management method, device, electronic equipment and storage medium | |
| CN113032435A (en) | Data processing method and device for risk assessment | |
| CN111460315A (en) | Social portrait construction method, device and equipment and storage medium | |
| EP3564833B1 (en) | Method and device for identifying main picture in web page | |
| CN113901037A (en) | Data management method, device and storage medium | |
| CN110704486B (en) | Data processing method, device, system, storage medium and server | |
| CN106033444A (en) | Method and device for clustering text content | |
| CN109558887A (en) | A kind of method and apparatus of predictive behavior | |
| CN116188050A (en) | Takeaway platform information processing system based on data analysis | |
| CN114817518A (en) | License handling method, system and medium based on big data archive identification | |
| CN114140193A (en) | Commodity recommendation method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |