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An Incremental Updating Algorithm of Sequential Patterns  

Kim Hak-Ja (Department of Computer and Telecommunication Eng., Kangwon National University)
Whang Whan-Kyu (Department of Computer and Telecommunication Eng., Kangwon National University)
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Abstract
In this paper, we investigate a problem of updating sequential patterns when new transactions are added to a database. We present an efficient updating algorithm for sequential pattern mining that incrementally updates added transactions by reusing frequent patterns found previously. Our performance study shows that this method outperforms both AprioriAll and PrefixSpan algorithm which updates from scratch, since our method can efficiently utilize reduced candidate sets which result from the incremental updating technique.
Keywords
데이터 마이닝;순차 패턴;순차 패턴 갱신;
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