The Quest Data Mining System

Proceedings - 2nd International Conference on Knowledge Discovery and Data Mining, KDD 1996

Volumn , Issue , 1996, Pages 244-249

  Agrawal, Rakesh ^a   Mehta, Manish ^a   Shafer, John ^a   Srikant, Ramakrishnan ^a   Arning, Andreas ^b   Bollinger, Toni ^b  

^a IBM ALMADEN RESEARCH CENTER   (United States)

^b Ibm German Software Development Laboratory   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0346087182     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

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2. Agrawal, R., and Shafer, J. 1996. Parallel mining of association rules: Design, implementation and experience. Research Report RJ 10004, IBM Almaden Research Center, San Jose, California. To appear in IEEE Transactions on Knowledge and Data Engineering.
3. Agrawal, R., and Shim, K. 1996. Developing tightly-coupled data mining applications on a relational database system. In Proc. of the 2nd Int'l Conference on Knowledge Discovery in Databases and Data Mining.
4. Agrawal, R., and Srikant, R. 1994. Fast Algorithms for Mining Association Rules. In Proc. of the 20th Int'l Conference on Very Large Databases.
5. Agrawal, R., and Srikant, R. 1995. Mining Sequential Patterns. In Proc. of the 11th Int'l Conference on Data Engineering.
6. Agrawal, R.; Lin, K.-I.; Sawhney, H. S.; and Shim, K. 1995a. Fast similarity search in the presence of noise, scaling, and translation in time-series databases. In Proc. of the 21st Int'l Conference on Very Large Databases.
7. Agrawal, R.; Psaila, G.; Wimmers, E. L.; and Zait, M. 1995b. Querying shapes of histories. In Proc. of the 21st Int'l Conference on Very Large Databases.
8. Agrawal, R.; Imielinski, T.; and Swami, A. 1993a. Database mining: A performance perspective. IEEE Transactions on Knowledge and Data Engineering 5(6):914-925.
9. Agrawal, R.; Imielinski, T.; and Swami, A. 1993b. Mining association rules between sets of items in large databases. In Proc. of the ACM SIGMOD Conference on Management of Data, 207-216.
10. Arning, A., and Agrawal, R. 1996. A linear method for deviation detection in large databases. In Proc. of the 2nd Int'l Conference on Knowledge Discovery in Databases and Data Mining.
11. Fayyad, U. M.; Piatetsky-Shapiro, G.; Smyth, P.; and Uthurusamy, R., eds. 1995. Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press.
12. Mehta, M.; Agrawal, R.; and Rissanen, J. 1996. SLIQ: A fast scalable classifier for data mining. In Proc. of the Fifth Int'l Conference on Extending Database Technology (EDBT).
13. Nearhos, J.; Rothman, M.; and Viveros, M. 1996. Applying data mining techniques to a health insurance information system. In Proc. of the 22nd Int'l Conference on Very Large Databases.
14. Piatetsky-Shapiro, G., and Frawley, W. J., eds. 1991. Knowledge Discovery in Databases. Menlo Park, CA: AAAI/MIT Press.
15. Shafer, J.; Agrawal, R.; and Mehta, M. 1996. Fast serial and parallel classification of very large data bases. In Proc. of the 22nd Int'l Conference on Very Large Databases.
16. Shim, K.; Srikant, R.; and Agrawal, R. 1996. The e-k-d-b tree: A fast index structure for high-dimensional similarity joins. Research Report, IBM Almaden Research Center, San Jose, California.
17. Srikant, R., and Agrawal, R. 1995. Mining Generalized Association Rules. In Proc. of the 21st Int'l Conference on Very Large Databases.
18. Srikant, R., and Agrawal, R. 1996a. Mining Quantitative Association Rules in Large Relational Tables. In Proc. of the ACM SIGMOD Conference on Management of Data.
19. Srikant, R., and Agrawal, R. 1996b. Mining Sequential Patterns: Generalizations and Performance Improvements. In Proc. of the Fifth Int'l Conference on Extending Database Technology (EDBT).
20. Weiss, S. M., and Kulikowski, C. A. 1991. Computer Systems that Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems. Morgan Kaufman.