| Mining Drift of Fuzzy Membership Functions | |
|---|---|
| 學年 | 104 |
| 學期 | 2 |
| 發表日期 | 2016-03-14 |
| 作品名稱 | Mining Drift of Fuzzy Membership Functions |
| 作品名稱（其他語言） | |
| 著者 | Tzung-Pei Hong; Min-Thai Wu; Yan-Kang Li; Chun-Hao Chen |
| 作品所屬單位 | |
| 出版者 | |
| 會議名稱 | |
| 會議地點 | |
| 摘要 | In this paper, the fuzzy c-means (FCM) clustering approach is adopted to find concept drift of fuzzy membership functions. The proposed algorithm is divided into two stages. In the first stage, the FCM approach is used to find appropriate fuzzy membership functions at different periods or at different places. Then in the second stage, the proposed algorithm compares the results in the first stage to find different types of drift of fuzzy membership functions. Experiments are also made to show the performance of the proposed approach. |
| 關鍵字 | Concept drift;Data mining;Fuzzy C-means;Membership functions |
| 語言 | en_US |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | 無 |
| 研討會時間 | 20160314~20160316 |
| 通訊作者 | Tzung-Pei Hong |
| 國別 | VNM |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | the series Lecture Notes in Computer Science 9622, pp.211-218 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/107156 ) |
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