Mining sequential patterns: Generalizations and performance improvements

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1057 LNCS, Issue , 1996, Pages 3-17

  Srikant, Ramakrishnan ^a,b   Agrawal, Rakesh ^a  

^a IBM ALMADEN RESEARCH CENTER   (United States)

^b University of Wisconsin Madison   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TAXONOMIES;

APRIORIALL ALGORITHM; EMPIRICAL EVALUATIONS; MINIMUM SUPPORT; MINING SEQUENTIAL PATTERNS; NUMBER OF DATUM; SEQUENTIAL PATTERNS; TIME CONSTRAINTS; TRANSACTION TIME;

DATABASE SYSTEMS;

EID: 84897708583     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0014140     Document Type: Conference Paper

References (8)

1. R. Agrawal, T. Imielinski, and A. Swauii. Mining association rules between sets of items in large databases. In Proc. of the ACM SIGMOD Conference on Management of Data, pages 207-216, Washington, D.G., May 1993.
2. ft. Agrawal and R. Srikant. Fast Algorithms for Mining Association Rules. In Proc. of the 20th Int'l Conference on Very Large Databases, Santiago, Chile, September 1994.
3. R. Agrawal and R. Srikant. Mining Sequential Patterns. In Proc. of the 11th Int'l Conference on Data Engineering, Taipei, Taiwan, March 1995.
4. J. Han and Y. Pu. Discovery of multiple-level association rules from large databases. In Proc. of the 21st Int'l Conference on Very Large Databases, Zurich, Switzerland, September 1995.
5. H. Mannila, H. Toivonen, and A. I. Verkamo. Discovering frequent episodes in sequences. In Proc. of the Int'l Conference on Knowledge Discovery in Databases and Data Mining (KDD-95), Montreal, Canada, August 1995.
6. R. Srikant and R. Agrawal. Mining Generalized Association Rules. In Proc. of the 21st Int'l Conference on Very Large Databases, Zurich, Switzerland, September 1995.
7. R. Srikant and R. Agrawal. Mining Sequential Patterns: Generalizations and Performance Improvements. Research Report RJ 9994, IBM Almaden Research Center, San Jose, California, December 1995.
8. J. T.-L. Wang, G.-W. Chirn, T. G. Marr, B. Shapiro, D. Shasha, and K. Zhang. Combinatorial pattern discovery for scientific data: Some preliminary results. In Proc. of the ACM SIGMOD Conference on Management of Data, Minneapolis, May 1994.