Performance evaluation and optimization of join queries for association rule mining

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

Volumn 1676, Issue , 1999, Pages 241-250

  Thomas, Shiby ^a   Chakravarthy, Sharma ^b  

^a ORACLE CORPORATION   (United States)

^b University of Florida   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ASSOCIATION RULES; DATA WAREHOUSES; INTERFACE STATES; SEMANTICS; WAREHOUSES;

BUSINESS ORGANIZATIONS; DATA COLLECTION; DATA MINING PROBLEMS; DATA-MINING TOOLS; EXECUTION PLANS; EXPLOSIVE GROWTH; MINING ALGORITHMS; STATE OF THE ART;

DATA MINING;

EID: 33749619594     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48298-9_26     Document Type: Conference Paper

References (10)

1. R. Agrawal, T. Imielinski, and A. Swami. Mining association rules between sets of items in large databases. In Proc. of the ACM SIGMOD Conference, pages 207-216, Washington, D.C., May 1993.
2. R. Agrawal and K. Shim. Developing tightly-coupled data mining applications on a RDBMS. In Proc. of the KDD Conference, Portland, Oregon, August 1996.
3. R. Agrawal and R. Srikant. Fast Algorithms for Mining Association Rules. In Proc. of the VLDB Conference, Santiago, Chile, September 1994.
4. J. Han, Y. Fu, K. Koperski, W. Wang, and O. Zaiane. DMQL: A data mining query language for relational datbases. In Proc. of the 1996 SIGMOD DMKD workshop, Montreal, Canada, May 1996.
5. M. Houtsma and A. Swami. Set-oriented mining of association rules. In Int’l Conference on Data Engineering, Taipei, Taiwan, March 1995.
6. T. Imielinski, A. Virmani, and A. Abdulghani. Discovery Board Application Programming Interface and Query Language for Database Mining. In Proc. of the KDD Conference, Portland, Oregon, August 1996.
7. R. Meo, G. Psaila, and S. Ceri. A new SQL like operator for mining association rules. In Proc. of the VLDB Conference, Bombay, India, Sep 1996.
8. PostgreSQL Organization. PostgreSQL 6.3 User Manual, February 1998. http://ww.postgresql.org.
9. S. Sarawagi, S. Thomas, and R. Agrawal. Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications. In Proc. of the ACM SIGMOD Conference, Seattle, Washington, June 1998.
10. S. TSUT et al. Query Flocks: A Generalization of Association Rule Mining. In Proc. of the ACM SIGMOD Conference, Seattle, Washington, June 1998.