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Five-Category Classification Prediction for "Three Rural" Loan Risk Based on Support Vector Machine

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成果类型:
会议论文
作者:
Hu, Y.;Fang, K.*;Fang, X.;Xu, C.
通讯作者:
Fang, K.
作者机构:
[Hu, Y.; Fang, K.] Hunan Agr Univ, Coll Informat Sci & Technol, Changsha 410128, Hunan, Peoples R China.
[Xu, C.; Fang, X.] Changsha Univ, Informat Ctr, Changsha 410001, Hunan, Peoples R China.
通讯机构:
[Fang, K.] H
Hunan Agr Univ, Coll Informat Sci & Technol, Changsha 410128, Hunan, Peoples R China.
语种:
英文
关键词:
Three rural loans;Support vector machine;Classification prediction
期刊:
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND INFORMATION TECHNOLOGY (SEIT2015)
年:
2016
页码:
161-165
会议名称:
International Conference on Software Engineering and Information Technology (SEIT)
会议时间:
JUN 26-28, 2015
会议地点:
Guilin, PEOPLES R CHINA
会议主办单位:
[Hu, Y.;Fang, K.] Hunan Agr Univ, Coll Informat Sci & Technol, Changsha 410128, Hunan, Peoples R China.^[Fang, X.;Xu, C.] Changsha Univ, Informat Ctr, Changsha 410001, Hunan, Peoples R China.
主编:
Li, X
出版地:
PO BOX 128 FARRER RD, SINGAPORE 9128, SINGAPORE
出版者:
WORLD SCIENTIFIC PUBL CO PTE LTD
ISBN:
978-981-4740-10-4; 978-981-4740-09-8
机构署名:
本校为第一且通讯机构
院系归属:
信息科学技术学院
摘要:
Based on the data mining method, Support Vector Machine technology, Correlated Analytical Variable Selection method and Principal Component Analytical Variable Dimension Reduction method, setting five-category classification and prediction model for “Three rural” loan risk of commercial bank, then make classification prediction for an Agricultural Bank of China in Changsha and verify the outcome through this prediction model, and make comparative analysis with the classification prediction accuracy of neural network and the time consumed for ...

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