A Solution For Data Imbalance Classification Problem In Model Construction In Banking Industry

A Solution For Data Imbalance Classification Problem In Model Construction In Banking Industry

There are many problems in the credit scoring field with the use of data mining technology. One of the practical and simple problems is the data imbalance classification problem which hasn't been solved yet. The proposed invention discloses a solution for data imbalance classification problem b...

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Bibliographische Detailangaben
Hauptverfasser: LIU, XUANTONG, LIU, RUIQI, YE, YUNHAN, YAO, KAISEN, ZHOU, JINGYAO, LU, ZHENYUAN
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Zusammenfassung:There are many problems in the credit scoring field with the use of data mining technology. One of the practical and simple problems is the data imbalance classification problem which hasn't been solved yet. The proposed invention discloses a solution for data imbalance classification problem by using data augmentation and linear SVM . By using this method, the invention achieves a good performance level, and the problem is generally solved. The main steps of our experiment includes collecting data from bank, data normalization and solving imbalance classification, building functional testing models, and graphing and analyzeing the results of different solutions. - Experiment Udrai MnMax Nmion Augmentan Result Figure