Constraint-based sequential pattern mining: The consideration of recency and compactness-Reference-Cited by-同舟云学术

Constraint-based sequential pattern mining: The consideration of recency and compactness

Published:2006-11 Issue:2 Volume:42 Page:1203-1215
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Chen Yen-Liang,Hu Ya-Han

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference41 articles.

1. Mining sequential patterns;Agrawal,1995

2. Efficient similarity search in sequence databases;Agrawal;Lecture Notes in Computer Science,1993

3. Mining general temporal association rules for items with different exhibition periods;Chang,2002

4. Data mining: an overview from a database perspective;Chen;IEEE Transactions on Knowledge and Data Engineering,1996

5. Efficient data mining for path traversal patterns;Chen;IEEE Transactions on Knowledge and Data Engineering,1998

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