Artificial Immune Network with Feature Selection for Bank Term Deposit Recommendation
學年 104
學期 2
出版（發表）日期 2016-06-15
作品名稱 Artificial Immune Network with Feature Selection for Bank Term Deposit Recommendation
作品名稱（其他語言）
著者 Xiao-Yong Lu; Xiao-Qiang Chu; Meng-Hui Chen; Pei-Chann Chang ; Shih-Hsin Chen
單位
出版者
著錄名稱、卷期、頁數 Expert Systems with Applications 54, p.235-247
摘要 This paper proposes an artificial immune network approach combined with feature selection techniques for bank term deposit recommendation. The method utilizes immune system principles to identify optimal feature subsets and improve prediction accuracy in banking marketing campaigns. The proposed algorithm demonstrates superior performance compared to traditional machine learning methods in terms of both accuracy and computational efficiency. Experimental results on real banking datasets show significant improvements in customer targeting and conversion rates.
關鍵字 artificial immune network; feature selection; bank marketing; term deposit; recommendation system; machine learning
語言 en_US
ISSN 0957-4174
期刊性質 國外
收錄於 SCI Scopus
產學合作
通訊作者
審稿制度 是
國別 TWN
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/128048 )