Mining interesting sequential patterns for intelligent systems

Author:

Yen Show-Jane

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Reference22 articles.

1. Fast algorithm for mining association rules. In: Bocca JB, Jarke M, Zaniolo C, editors. Proc Int Conf on Very Large Data Bases, Santiago de Chile. San Francisco, CA: Morgan Kaufmann; 1994. pp 487-499.

2. Mining sequential patterns: Generalizations and performance improvements. In: Apers P, Bouzeghoub M, Gardarin G, editors. Int Conf on Extending Database Technology (EDBT), Avignon, France. Heidelberg, Germany: Springer-Verlag; 1996. pp 3-17.

3. Mining the most interesting rules. In: Proc 5th ACM SIGKDD Int Conf on Knowledge Discovery and Data Mining. New York: ACM Press; 1999. pp 145-154.

4. Dynamic itemset counting and implication rules for market basket data. In: Proc ACM SIGMOD Int Conf on Management of Data. New York: ACM Press; 1997. pp 255-264.

5. Mining association rules with multiple minimum supports. In ACM Conf on Knowledge Discovery in Data (KDD). New York: ACM Press; 1999. pp 337-341.

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