教師資料查詢 | 類別: 期刊論文 | 教師: 張忠義 CHANG, CHUNG-I (瀏覽個人網頁)

標題:An Algorithm for Mining Strong Negative Fuzzy Sequential Patterns
學年95
學期2
出版(發表)日期2007/03/01
作品名稱An Algorithm for Mining Strong Negative Fuzzy Sequential Patterns
作品名稱(其他語言)
著者Lin, Nancy P.; Hao, Wei-hua, Chen, Hung-jen; Chang, Chung-i; Chueh, Hao-en
單位淡江大學資訊工程學系;軍訓室
出版者Braga: North Atlantic University Union
著錄名稱、卷期、頁數International Journal of Computers 3(1), pp.167-172
摘要Many methods have been proposed for mining fuzzy sequential patterns. However, most of conventional methods only consider the occurrences of fuzzy itemsets in sequences. The fuzzy sequential patterns discovered by these methods are called as positive fuzzy sequential patterns. In practice, the absences of frequent fuzzy itemsets in sequences may imply significant information. We call a fuzzy sequential pattern as a negative fuzzy sequential pattern, if it also expresses the absences of fuzzy itemsets in a sequence. In this paper, we proposed a method for mining negative fuzzy sequential patterns, called NFSPM. In our method, the absences of fuzzy itemsets are also considered. Besides, only sequences with high degree of interestingness can be selected as negative fuzzy sequential patterns. An example was taken to illustrate the process of the algorithm NFSPM. The result showed that our algorithm could prune a lot of redundant candidates, and could extract meaningful fuzzy sequential patterns from a large number of frequent sequences.
關鍵字
語言英文
ISSN1998-4308
期刊性質國外
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產學合作
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國別葡萄牙
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出版型式電子版
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