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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제6권 제2호
- 발행연도
- 2010.1
- 수록면
- 163 - 176 (14page)
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초록· 키워드
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Nowadays due to the rapid advances in the field of information systems, transactional databases are being updated regularly and/or periodically. The knowledge discovered from these databases has to be maintained, and an incremental updating technique needs to be developed for maintaining the discovered association rules from these databases. The concept of Temporal Association Rules has been introduced to solve the problem of handling time series by including time expressions into association rules. In this paper we introduce a novel algorithm for Incremental Mining of General Temporal Association Rules (IMTAR) using an extended TFP-tree. The main benefits introduced by our algorithm are that it offers significant advantages in terms of storage and running time and it can handle the problem of mining general temporal association rules in incremental databases by building TFP-trees incrementally. It can be utilized and applied to real life application domains. We demonstrate our algorithm and its advantages in this paper.
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참고문헌 (12)
참고문헌 신청
C.H. Lee / 2003 / Partition Miner: An Efficient Algorithm for Mining General Temporal Association Rules / In IEEE Transaction on Knowledge Engineering : 1004 ~ 1017
C.Zheng / 2008 / An Incremental updating technique for mining indirect association rules / Proceedings of the Seventh International Conference on Machine Learning and Cybernetics :
D. W., Cheung / 1996 / Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique / In the International Conference on Data Engineering : 106
F. Conen / 2004 / Data Structure for Association Rules Mining: T-tree and P-tree / In IEEE Transaction on Knowledge Engineering : 774 ~ 778
J. S. Park / 1995 / An Effective Hashed-Based Algorithm for Mining Association Rules / proc. 1995 ACM-SIGMOD Int. Conf. Management of Data, San Joe
C.Zheng / 2008 / An Incremental updating technique for mining indirect association rules / Proceedings of the Seventh International Conference on Machine Learning and Cybernetics :
D. W., Cheung / 1996 / Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique / In the International Conference on Data Engineering : 106
F. Conen / 2004 / Data Structure for Association Rules Mining: T-tree and P-tree / In IEEE Transaction on Knowledge Engineering : 774 ~ 778
J. S. Park / 1995 / An Effective Hashed-Based Algorithm for Mining Association Rules / proc. 1995 ACM-SIGMOD Int. Conf. Management of Data, San Joe
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