An Incremental Updating Algorithm of Sequential Patterns

점진적인 순차 패턴 갱신 알고리즘

  • Kim Hak-Ja (Department of Computer and Telecommunication Eng., Kangwon National University) ;
  • Whang Whan-Kyu (Department of Computer and Telecommunication Eng., Kangwon National University)
  • 김학자 (강원대학교 컴퓨터정보통신공학과) ;
  • 황환규 (강원대학교 컴퓨터정보통신공학과)
  • Published : 2006.09.01

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.

본 논문에서는 데이터베이스에 새로운 트랜잭션이 추가되었을 때 순차 패턴을 갱신하는 문제를 연구하였다. 트랜잭션이 순차적으로 증가되는 환경에서 기존에 발견된 빈발 시퀸스를 재사용하여 순차패턴을 갱신하는 효율적인 알고리즘을 제안한다. 본 논문에서 제안한 방법은 후보 집합의 개수를 효율적으로 줄임으로써 AprioriAll이나 PrefixSpan 알고리즘보다 좋은 성능을 보임을 실험으로 확인하였다.

Keywords

References

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