頁籤選單縮合
題 名 | A New Approach for Fuzzy Query Processing Based on Automatic Clustering Techniques |
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作 者 | Chen, Shyi-ming; Hsiao, Hsin-ren; | 書刊名 | International Journal of Information and Management Sciences |
卷 期 | 18:3 2007.09[民96.09] |
頁 次 | 頁223-240 |
分類號 | 494.5 |
關鍵詞 | Fuzzy query processing; Automatic clustering techniques; Fuzzy set theory; Cluster centers; Normalized cluster centers; |
語 文 | 英文(English) |
英文摘要 | In recent years, many methods have been presented for fuzzy queries processing in relational database systems. One of the existing fuzzy query processing methods is to cluster data in advance, such that the process of fuzzy query processing only needs to process the most proper clusters instead of all the data in the relational database system. However, most existing clustering methods need users to predefine the number of clusters, thus lacking convenience and flexibility. In this paper, we present a new approach for fuzzy query processing based on automatic clustering techniques. The proposed automatic clustering algorithm does not need to define the number of clusters of the data in advance. The method can process users’ fuzzy queries in a more flexible and more intelligent manner. |
本系統中英文摘要資訊取自各篇刊載內容。