CN110097459A - A kind of financial risks appraisal procedure and system based on big data technology - Google Patents
A kind of financial risks appraisal procedure and system based on big data technology Download PDFInfo
- Publication number
- CN110097459A CN110097459A CN201910380774.4A CN201910380774A CN110097459A CN 110097459 A CN110097459 A CN 110097459A CN 201910380774 A CN201910380774 A CN 201910380774A CN 110097459 A CN110097459 A CN 110097459A
- Authority
- CN
- China
- Prior art keywords
- data
- information
- big data
- assessment
- financial
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/90335—Query processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/9038—Presentation of query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/03—Credit; Loans; Processing thereof
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Finance (AREA)
- Data Mining & Analysis (AREA)
- Computational Linguistics (AREA)
- Accounting & Taxation (AREA)
- General Engineering & Computer Science (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Technology Law (AREA)
- General Business, Economics & Management (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of financial risks appraisal procedures and system based on big data technology, method includes the following steps: S1: acquiring the personal information of simultaneously typing assessment object, wherein personal information includes Financial Information and behavioural information；S2: system carries out audit identification to personal information；S3: system access big data channel carries out big data acquisition according to the personal information of assessment object, wherein the big data acquired includes structural data and unstructured data；S4: system swaps the data of acquisition, cleans, compares, analyzes, calculates and handles, and exports various dimensions assessment result according to the judgement of system model；S5: risk assessment assistant directors at different levels are according to various dimensions assessment result, the successively every risk control grading and ability of audit assessment object；S6: the Risk Assessment Report provided.The advantages of present invention has efficiently, quickly, can significantly promote the accuracy of financial risks evaluation structure.
Description
Technical field
The present invention relates to financial risks evaluation areas, and in particular to a kind of financial risks assessment side based on big data technology
Method and system.
Background technique
The essence of finance is risk management, and wherein credit operation is the higher finance of risk class, and air control is all finance
The core of business.Typical finance lending and borrowing business such as mortgage loan, consumptive loan, P2P, supply chain finance and bill melt
Money requires financial air control identification, and assesses user credit grade.
Under existing situation system, in credit operation, in face of debt-credit object, financial institution is usually to require loaning bill main body
It the problems such as data such as the report of offer bank reference or enterprise's financial report, this mode is lower insufficient with coverage there are efficiency, is easy
There are frauds, and risk assessment is caused to be obstructed, and only for traditional finance data in present mode, and miss out more embody and borrow
Behavioral data of object risk, such as relation chain, trip record, court document etc. are borrowed, comprehensive behavioral data and finance data are just
Risk can be effectively reduced.
Summary of the invention
In view of the above shortcomings of the prior art, the technical problems to be solved by the present invention are: how to provide it is a kind of will be traditional
Financial Information and be easy to acquire behavioural information combine, carry out multi dimensional analysis, reduce risk class based on big data technology
Financial risks appraisal procedure and system.
In order to solve the above-mentioned technical problem, present invention employs the following technical solutions:
A kind of financial risks appraisal procedure based on big data technology is used in credit operation to debt-credit object standing tune
The risk control looked into, method includes the following steps:
S1: acquiring and the personal information of typing assessment object, and wherein personal information includes Financial Information and behavioural information；
S2: system carries out audit identification to personal information；
S3: system access big data channel carries out big data acquisition according to the personal information of assessment object, wherein acquire
Big data includes structural data and unstructured data；
S4: system swaps the data of acquisition, cleans, compares, analyzes, calculates and handles, according to system model
Determine output various dimensions assessment result；
S5: risk assessment assistant directors at different levels are according to various dimensions assessment result, successively every risk control of audit assessment object
Grading and ability；
S6: the Risk Assessment Report provided.
Further, further includes: artificial intelligence technology is used, so that system is in the mistake for carrying out data processing in step S4
Journey is capable of the carry out self-teaching of intelligence.
Further, Financial Information described in step S1 includes the financial asset for borrowing or lending money object, monetary liabilities, behavioural information
Including daily behavior of credit such as carrier data, consumption data, trip data, non-financial institution's debts under debt-credit object name.
Further, model described in step S4 is financial risks probability graph model, is by constructing big data Spark
Analysis model converts data using the relevance between finance data, it is established that industry, industry, enterprises and individuals etc. are general
The financial risks probability graph model of financial institution's different angle.
Further, the big data Spark analysis model is the relation loop model by establishing debt-credit object, to debt-credit
Individual subject relation loop understands and monitoring, effective early warning recent financial development variation.
A kind of financial risks assessment system based on big data technology carries out intelligent association for the information to debt-credit object
And analysis, which is characterized in that including information acquisition system, data-reduction system, data analysis system, intelligent learning system and letter
Cease presentation system；
Information acquisition system: it for acquiring the information of debt-credit object, by access internet and big data system, will borrow or lend money
The various dimensions information of object is acquired；
Data-reduction system: for being integrated in the information for information acquisition system to be collected into, ensure information it
Between may be implemented to exchange and compare, and duplicate message and interference information are cleaned；
Data analysis system: for comparing, calculating to the information after integration, analyze, monitor,；
Intelligent learning system: frequently when being operated, for the relevance between the data and result of different borrowers,
It is independently analyzed and is learnt, convenient for improving itself output result.
Information presentation system shows the various risk informations of borrower after combining multi dimensional analysis and grading.
Further, the information acquisition system includes that internal structure external structure data collection system and inside and outside are unstructured
Data collection system, the internal structure external structure data collection system and inside and outside unstructured data acquisition system include number
According to Sediment Module and at least one acquisition module being connect with big data channel.
Further, the data-reduction system includes Switching Module and cleaning module.
Further, the data analysis system include data comparison module, data analysis module, data computation module and
Data processing module.
The invention has the benefit that the present invention by big data technical application to financial risks evaluation areas, break industry
Barrier is connected to data silo, allows the financial resources data of magnanimity maximumlly to be collected and be analyzed, related data is available
To the greatest extent excavate with real-time dynamic conversion, allow all kinds of resource datas all fully realized value create, promote financial industry
Innovation and development；It is multi-party that the present invention can integrate bank finance data, government affairs data, public security data, house property data etc.
Data, all-dimensional multi-angle carries out risk assessment to debt-credit object, compared to existing only by air control assistant director to financial material
Expect the mode audited, the case where having obtained great promotion and guarantee, avoided the occurrence of fraud, reduces loss, in addition provide
Big data platform during carrying out data collection and analysis reduces the amount of labour of analysis personnel and developer, is
Every profession and trade including consumer finance industry provides service, pushes flourishing for big data industry, has important economy
Benefit and social benefit.
Detailed description of the invention
Fig. 1 is a kind of flow chart of one embodiment of financial risks appraisal procedure based on big data technology of the present invention.
Fig. 2 is a kind of functional block diagram of one embodiment of financial risks assessment system based on big data technology of the present invention
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawing.
As shown in Figure 1, a kind of financial risks appraisal procedure based on big data technology, is used in credit operation to debt-credit
The risk control of object credit information, method includes the following steps:
S1: acquiring and the personal information of typing assessment object, and wherein personal information includes Financial Information and behavioural information；
S2: system carries out audit identification to personal information；
S3: system access big data channel carries out big data acquisition according to the personal information of assessment object, wherein acquire
Big data includes structural data and unstructured data；
S4: system swaps the data of acquisition, cleans, compares, analyzes, calculates and handles, according to system model
Determine output various dimensions assessment result；
S5: risk assessment assistant directors at different levels are according to various dimensions assessment result, successively every risk control of audit assessment object
Grading and ability；
S6: the Risk Assessment Report provided.
Wherein, further includes: artificial intelligence technology is used, so that system is in the process for carrying out data processing, energy in step S4
The carry out self-teaching of enough intelligence.
Wherein, Financial Information described in step S1 includes the financial asset for borrowing or lending money object, monetary liabilities, and behavioural information includes
Borrow or lend money the daily behavior of credit such as carrier data, consumption data, trip data, non-financial institution's debt under object name.
Wherein, model described in step S4 is financial risks probability graph model, is by building big data Spark analysis
Model converts data using the relevance between finance data, it is established that the general finance such as industry, industry, enterprises and individuals
The financial risks probability graph model of mechanism different angle.
Wherein, the big data Spark analysis model is the relation loop model by establishing debt-credit object, to debt-credit object
Personal relationship circle understands and monitoring, effective early warning recent financial development variation.
As shown in Fig. 2, a kind of financial risks assessment system based on big data technology, for the information to debt-credit object into
Row intelligent association and analysis, which is characterized in that learned including information acquisition system, data-reduction system, data analysis system, intelligence
Learning system and information presentation system；
Information acquisition system: it for acquiring the information of debt-credit object, by access internet and big data system, will borrow or lend money
The various dimensions information of object is acquired；
Data-reduction system: for being integrated in the information for information acquisition system to be collected into, ensure information it
Between may be implemented to exchange and compare, and duplicate message and interference information are cleaned；
Data analysis system: for comparing, calculating to the information after integration, analyze, monitor,；
Intelligent learning system: frequently when being operated, for the relevance between the data and result of different borrowers,
It is independently analyzed and is learnt, convenient for improving itself output result.
Information presentation system shows the various risk informations of borrower after combining multi dimensional analysis and grading.
Wherein, the information acquisition system includes internal structure external structure data collection system and inside and outside unstructured data
Acquisition system, the internal structure external structure data collection system and inside and outside unstructured data acquisition system are heavy including data
Shallow lake module and at least one acquisition module being connect with big data channel.
Wherein, the data-reduction system includes Switching Module and cleaning module.
Wherein, the data analysis system includes data comparison module, data analysis module, data computation module and data
Processing module.
The invention has the benefit that the present invention by big data technical application to financial risks evaluation areas, break industry
Barrier is connected to data silo, allows the financial resources data of magnanimity maximumlly to be collected and be analyzed, related data is available
To the greatest extent excavate with real-time dynamic conversion, allow all kinds of resource datas all fully realized value create, promote financial industry
Innovation and development；It is multi-party that the present invention can integrate bank finance data, government affairs data, public security data, house property data etc.
Data, all-dimensional multi-angle carries out risk assessment to debt-credit object, compared to existing only by air control assistant director to financial material
Expect the mode audited, the case where having obtained great promotion and guarantee, avoided the occurrence of fraud, reduces loss, in addition provide
Big data platform during carrying out data collection and analysis reduces the amount of labour of analysis personnel and developer, is
Every profession and trade including consumer finance industry provides service, pushes flourishing for big data industry, has important economy
Benefit and social benefit.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that；It still may be used
To modify to technical solution documented by previous embodiment, or some or all of the technical features are equal
Replacement；And these are modified or replaceed, the model for technical solution of the embodiment of the present invention that it does not separate the essence of the corresponding technical solution
It encloses, should all cover within the scope of the claims and the description of the invention.
Claims (9)
1. a kind of financial risks appraisal procedure based on big data technology is used in credit operation to debt-credit object credit information
Risk control, which is characterized in that method includes the following steps:
S1: acquiring and the personal information of typing assessment object, and wherein personal information includes Financial Information and behavioural information；
S2: system carries out audit identification to personal information；
S3: system access big data channel carries out big data acquisition according to the personal information of assessment object, wherein the big number acquired
According to including structural data and unstructured data；
S4: system swaps the data of acquisition, cleans, compares, analyzes, calculates and handles, according to the judgement of system model
Export various dimensions assessment result；
S5: risk assessment assistant directors at different levels are according to various dimensions assessment result, successively every risk control grading of audit assessment object
And ability；
S6: the Risk Assessment Report provided.
2. a kind of financial risks appraisal procedure based on big data technology according to claim 1, which is characterized in that also wrap
It includes: using artificial intelligence technology, so that system self is learned in the process for carrying out data processing, the progress for capableing of intelligence in step S4
It practises.
3. a kind of financial risks appraisal procedure based on big data technology according to claim 2, which is characterized in that step
Financial Information described in S1 includes the financial asset for borrowing or lending money object, monetary liabilities, and behavioural information includes runing under debt-credit object name
The daily behavior of credit such as quotient data, consumption data, trip data, non-financial institution's debt.
4. a kind of financial risks appraisal procedure based on big data technology according to claim 3, which is characterized in that step
Model described in S4 is financial risks probability graph model, is to utilize finance data by constructing big data Spark analysis model
Between relevance data are converted, it is established that industry, industry, the finance of enterprises and individuals Deng Fan financial institution different angle
Risk probability graph model.
5. a kind of financial risks appraisal procedure based on big data technology according to claim 4, which is characterized in that described
Big data Spark analysis model be by establish debt-credit object relation loop model, to debt-credit individual subject relation loop understand and
Monitoring, effective early warning recent financial development variation.
6. a kind of financial risks assessment system based on big data technology, for the information to debt-credit object carry out intelligent association and
Analysis, which is characterized in that including information acquisition system, data-reduction system, data analysis system, intelligent learning system and information
Presentation system；
Information acquisition system: for acquiring the information of debt-credit object, by access internet and big data system, object will be borrowed or lent money
Various dimensions information be acquired；
Data-reduction system: for integrating in the information for information acquisition system to be collected into, ensureing can between information
To realize exchange and comparison, and duplicate message and interference information are cleaned；
Data analysis system: for comparing, calculating to the information after integration, analyze, monitor,；
Intelligent learning system: when frequently being operated, for the relevance between the data and result of different borrowers, independently
It is analyzed and is learnt, convenient for improving itself output result.
Information presentation system shows the various risk informations of borrower after combining multi dimensional analysis and grading.
7. a kind of financial risks assessment system based on big data technology according to claim 6, which is characterized in that described
Information acquisition system includes internal structure external structure data collection system and inside and outside unstructured data acquisition system, described inside and outside
Portion's structure data entry system and inside and outside unstructured data acquisition system include data Sediment Module and at least one
The acquisition module being connect with big data channel.
8. a kind of financial risks assessment system based on big data technology according to claim 6, which is characterized in that described
Data-reduction system includes Switching Module and cleaning module.
9. a kind of financial risks assessment system based on big data technology according to claim 6, which is characterized in that described
Data analysis system includes data comparison module, data analysis module, data computation module and data processing module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910380774.4A CN110097459A (en) | 2019-05-08 | 2019-05-08 | A kind of financial risks appraisal procedure and system based on big data technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910380774.4A CN110097459A (en) | 2019-05-08 | 2019-05-08 | A kind of financial risks appraisal procedure and system based on big data technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110097459A true CN110097459A (en) | 2019-08-06 |
Family
ID=67447341
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910380774.4A Pending CN110097459A (en) | 2019-05-08 | 2019-05-08 | A kind of financial risks appraisal procedure and system based on big data technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110097459A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110634064A (en) * | 2019-09-16 | 2019-12-31 | 重庆百行智能数据科技研究院有限公司 | Financial borrowing and lending method and system based on big data technology |
| CN110648217A (en) * | 2019-09-08 | 2020-01-03 | 贵州普惠链电子商务有限公司 | Wind control system based on big data and artificial intelligence |
| CN110766325A (en) * | 2019-10-24 | 2020-02-07 | 北京中科捷信信息技术有限公司 | Financial big data intelligent analysis's model development instrument |
| CN110807548A (en) * | 2019-10-23 | 2020-02-18 | 华能大理风力发电有限公司 | Data acquisition method, device, equipment and medium based on wind power bidding user |
| CN111522660A (en) * | 2020-04-16 | 2020-08-11 | 武汉有牛科技有限公司 | Big data monitoring solution based on block chain technology |
| CN111915229A (en) * | 2020-08-22 | 2020-11-10 | 武汉空心科技有限公司 | Big data-based working platform task risk assessment method and system |
| CN113762802A (en) * | 2021-09-17 | 2021-12-07 | 昆明理工大学 | Artificial intelligence PPP project financing evaluation system |
| CN116308829A (en) * | 2023-05-18 | 2023-06-23 | 盛业信息科技服务(深圳)有限公司 | Supply chain financial risk assessment processing method and device |
| CN116843456A (en) * | 2023-08-29 | 2023-10-03 | 北京燕知信科技服务有限公司 | Financial big data processing method and system based on artificial intelligence |
| CN117852926A (en) * | 2024-03-04 | 2024-04-09 | 四川享宇科技有限公司 | Champion challenger strategy management method and champion challenger strategy management system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106447434A (en) * | 2016-09-14 | 2017-02-22 | 全联征信有限公司 | Personal credit ecological platform |
| CN108154430A (en) * | 2017-12-28 | 2018-06-12 | 上海氪信信息技术有限公司 | A kind of credit scoring construction method based on machine learning and big data technology |
| CN108876595A (en) * | 2018-06-05 | 2018-11-23 | 南京工业大学 | P2P personal credit assessment method and device based on data mining |
| CN109325844A (en) * | 2018-06-25 | 2019-02-12 | 南京工业大学 | Network loan borrower credit evaluation method under multidimensional data |
-
2019
- 2019-05-08 CN CN201910380774.4A patent/CN110097459A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106447434A (en) * | 2016-09-14 | 2017-02-22 | 全联征信有限公司 | Personal credit ecological platform |
| CN108154430A (en) * | 2017-12-28 | 2018-06-12 | 上海氪信信息技术有限公司 | A kind of credit scoring construction method based on machine learning and big data technology |
| CN108876595A (en) * | 2018-06-05 | 2018-11-23 | 南京工业大学 | P2P personal credit assessment method and device based on data mining |
| CN109325844A (en) * | 2018-06-25 | 2019-02-12 | 南京工业大学 | Network loan borrower credit evaluation method under multidimensional data |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110648217A (en) * | 2019-09-08 | 2020-01-03 | 贵州普惠链电子商务有限公司 | Wind control system based on big data and artificial intelligence |
| CN110634064A (en) * | 2019-09-16 | 2019-12-31 | 重庆百行智能数据科技研究院有限公司 | Financial borrowing and lending method and system based on big data technology |
| CN110807548A (en) * | 2019-10-23 | 2020-02-18 | 华能大理风力发电有限公司 | Data acquisition method, device, equipment and medium based on wind power bidding user |
| WO2021077976A1 (en) * | 2019-10-23 | 2021-04-29 | 华能大理风力发电有限公司 | Data acquisition method and apparatus based on wind power bidding users, and device and medium |
| CN110766325A (en) * | 2019-10-24 | 2020-02-07 | 北京中科捷信信息技术有限公司 | Financial big data intelligent analysis's model development instrument |
| CN111522660B (en) * | 2020-04-16 | 2024-05-24 | 武汉有牛科技有限公司 | Big data monitoring solution based on block chain technology |
| CN111522660A (en) * | 2020-04-16 | 2020-08-11 | 武汉有牛科技有限公司 | Big data monitoring solution based on block chain technology |
| CN111915229A (en) * | 2020-08-22 | 2020-11-10 | 武汉空心科技有限公司 | Big data-based working platform task risk assessment method and system |
| CN113762802A (en) * | 2021-09-17 | 2021-12-07 | 昆明理工大学 | Artificial intelligence PPP project financing evaluation system |
| CN113762802B (en) * | 2021-09-17 | 2024-07-23 | 昆明理工大学 | Financing evaluation system for artificial intelligence PPP project |
| CN116308829A (en) * | 2023-05-18 | 2023-06-23 | 盛业信息科技服务(深圳)有限公司 | Supply chain financial risk assessment processing method and device |
| CN116308829B (en) * | 2023-05-18 | 2023-09-01 | 盛业信息科技服务(深圳)有限公司 | Supply chain financial risk assessment processing method and device |
| CN116843456B (en) * | 2023-08-29 | 2023-11-07 | 北京燕知信科技服务有限公司 | Financial big data processing method and system based on artificial intelligence |
| CN116843456A (en) * | 2023-08-29 | 2023-10-03 | 北京燕知信科技服务有限公司 | Financial big data processing method and system based on artificial intelligence |
| CN117852926A (en) * | 2024-03-04 | 2024-04-09 | 四川享宇科技有限公司 | Champion challenger strategy management method and champion challenger strategy management system |
| CN117852926B (en) * | 2024-03-04 | 2024-05-14 | 四川享宇科技有限公司 | Champion challenger strategy management method and champion challenger strategy management system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110097459A (en) | A kind of financial risks appraisal procedure and system based on big data technology | |
| Abdou et al. | Neural nets versus conventional techniques in credit scoring in Egyptian banking | |
| CN110110981A (en) | A kind of credit rating Default Probability estimates and method for prewarning risk | |
| CN111476660B (en) | Intelligent wind control system and method based on data analysis | |
| Van Thiel et al. | Artificial intelligence credit risk prediction: An empirical study of analytical artificial intelligence tools for credit risk prediction in a digital era | |
| Li et al. | Theory and application of artificial intelligence in financial industry | |
| Van Thiel et al. | Artificial intelligent credit risk prediction: An empirical study of analytical artificial intelligence tools for credit risk prediction in a digital era | |
| Ufo et al. | Determinants of financial distress in manufacturing firms of Ethiopia | |
| Xiao et al. | Research on the application of data analysis in predicting financial risk | |
| Shkolnyk et al. | Financial crisis of real sector enterprises: an integral assessment | |
| Xing et al. | A study on the application of the technology of big data and artificial intelligence to audit | |
| Wang | Abnormal behavior identification of enterprise cloud platform financial system based on artificial neural network | |
| Li | An early control algorithm of Corporate financial risk using artificial neural networks | |
| Yangyudongnanxin | Financial credit risk control strategy based on weighted random forest algorithm | |
| Piao et al. | Risk Management Analysis of Modern Commercial Banks Using Behavioral Finance Theory and Artificial Neural Networks | |
| CN116611849A (en) | Enterprise community fraud detection method based on graph database | |
| Zhang et al. | Construction and analysis of the financing risk network of Chinese fisheries enterprises | |
| Lin et al. | Research on Credit Big Data Algorithm Based on Logistic Regression | |
| Zhang et al. | [Retracted] Analysis of Bank Customer Default Risk Based on Embedded Microprocessor Wireless Communication | |
| Guo et al. | Credit Default Prediction on Time-Series Behavioral Data Using Ensemble Models | |
| Ufo | Impact of Financial Distress on the Liquidity of Selected Manufacturing Firms of Ethiopia | |
| CN111444288A (en) | Enterprise credit evaluation system based on big data analysis | |
| Wang | [Retracted] Green Financial Health Risk Early Monitoring of Commercial Banks Based on Neural Network Model in a Small Sample Environment | |
| Piispanen et al. | Applications of deep learning in finance | |
| Prabagar et al. | Data mining based framework for organisational financial management |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190806 |
|
| WD01 | Invention patent application deemed withdrawn after publication |