教師資料查詢 | 類別: 會議論文 | 教師: 陳俊豪 CHUN-HAO CHEN (瀏覽個人網頁)

標題:A GA-based approach for mining membership functions and concept-drift patterns
學年103
學期2
發表日期2015/05/25
作品名稱A GA-based approach for mining membership functions and concept-drift patterns
作品名稱(其他語言)
著者C. H. Chen; Y. Li; T. P. Hong; Y. K. Li; E. H. C. Lu
作品所屬單位
出版者
會議名稱The IEEE Congress on Evolutionary Computation
會議地點
摘要Since customers' behaviors may change over time in real applications, algorithms that can be utilized to mine these drift patterns are needed. In this paper, we propose a GA-based approach for mining fuzzy concept-drift patterns. It consists of two phases. The first phase mines membership functions and the second one finds fuzzy concept-drift patterns. In the first phase, appropriate membership functions for items are derived by GA with a designed fitness function. Then, the derived membership functions are utilized to mine fuzzy concept-drift patterns in the second phase. Experiments on simulated datasets are also made to show the effectiveness of the proposed approach.
關鍵字concept drift;data mining;fuzzy association rules;genetic algorithms;membership functions
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20150525~20150528
通訊作者
國別日本
公開徵稿
出版型式
出處Evolutionary Computation (CEC), 2015 IEEE, pp.2961-2965
相關連結
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