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 en
ISSN 1998-4308
期刊性質 國外
收錄於
產學合作
通訊作者
審稿制度 否
國別 PRT
公開徵稿
出版型式 電子版
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