A Study on the Mining of Overdue Loan Repayment Patterns – A Case of Credit Department of Taiwan Farmers’ Association
碩士 === 靜宜大學 === 資訊碩士在職專班 === 97 === Whereas the lending business is the lifeblood of the development of financial institutions, the overdue loans of financial institutions are a severe threat to the institutions survival. Due to the localization and scale of Taiwan Farmers’ Association, the restrict...
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ndltd-TW-097PU0053920152019-05-15T20:06:59Z http://ndltd.ncl.edu.tw/handle/ey545e A Study on the Mining of Overdue Loan Repayment Patterns – A Case of Credit Department of Taiwan Farmers’ Association 農會信用部逾期放款之繳款樣式探勘 Chaur-Shyang Chen 陳朝祥 碩士 靜宜大學 資訊碩士在職專班 97 Whereas the lending business is the lifeblood of the development of financial institutions, the overdue loans of financial institutions are a severe threat to the institutions survival. Due to the localization and scale of Taiwan Farmers’ Association, the restricted business and net value incures the inability to deal with the economic deterioration in Taiwan. In this thesis, the sequential pattern mining technology is involved to explore the pattern of overdue loan repayment over the past decade in the credit departments of Taiwan Farmers’ Association. The utilization of mined loan repayment patterns can help the agricultural lending sectors reduce the overdue loans and enhance their performance and competitive advantages. Yao-Te Wang 王耀德 2009 學位論文 ; thesis 92 zh-TW |
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碩士 === 靜宜大學 === 資訊碩士在職專班 === 97 === Whereas the lending business is the lifeblood of the development of financial institutions, the overdue loans of financial institutions are a severe threat to the institutions survival. Due to the localization and scale of Taiwan Farmers’ Association, the restricted business and net value incures the inability to deal with the economic deterioration in Taiwan.
In this thesis, the sequential pattern mining technology is involved to explore the pattern of overdue loan repayment over the past decade in the credit departments of Taiwan Farmers’ Association. The utilization of mined loan repayment patterns can help the agricultural lending sectors reduce the overdue loans and enhance their performance and competitive advantages.
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author2 |
Yao-Te Wang |
author_facet |
Yao-Te Wang Chaur-Shyang Chen 陳朝祥 |
author |
Chaur-Shyang Chen 陳朝祥 |
spellingShingle |
Chaur-Shyang Chen 陳朝祥 A Study on the Mining of Overdue Loan Repayment Patterns – A Case of Credit Department of Taiwan Farmers’ Association |
author_sort |
Chaur-Shyang Chen |
title |
A Study on the Mining of Overdue Loan Repayment Patterns – A Case of Credit Department of Taiwan Farmers’ Association |
title_short |
A Study on the Mining of Overdue Loan Repayment Patterns – A Case of Credit Department of Taiwan Farmers’ Association |
title_full |
A Study on the Mining of Overdue Loan Repayment Patterns – A Case of Credit Department of Taiwan Farmers’ Association |
title_fullStr |
A Study on the Mining of Overdue Loan Repayment Patterns – A Case of Credit Department of Taiwan Farmers’ Association |
title_full_unstemmed |
A Study on the Mining of Overdue Loan Repayment Patterns – A Case of Credit Department of Taiwan Farmers’ Association |
title_sort |
study on the mining of overdue loan repayment patterns – a case of credit department of taiwan farmers’ association |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/ey545e |
work_keys_str_mv |
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