Dynamic Itemset Counting and Implication Rules for Market Basket Data

SIGMOD Record (ACM Special Interest Group on Management of Data)

Volumn 26, Issue 2, 1997, Pages 255-264

  Brin, Sergey ^a   Motwani, Rajeev ^a   Ullman, Jeffrey D ^a   Tsur, Shalom ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL LINGUISTICS; DATA STRUCTURES; INFORMATION RETRIEVAL;

DATA MINING; MARKET BASKET DATA;

DATABASE SYSTEMS;

EID: 0031162961     PISSN: 01635808     EISSN: None     Source Type: Journal    
DOI: 10.1145/253262.253325     Document Type: Article

References (8)

1. R. Agrawal, T. Imilienski, and A. Swami. Database Mining: A Performance Perspective. IEEE Transactions on Knowledge and Data Engineering, 5(6):914-925, December 1993.
2. R. Agrawal, T. Imilienski, and A. Swami. Mining Association Rules between Sets of Items in Large Databases. Proc. of the ACM SIGMOD Int'l Conf. on Management of Data, pages 207-216, May 1993.
3. R. Agrawal, K. Lin, S. Sawhney, and K. Shim. Fast similarity search in the presence of noise, scaling and translation in time-series databases. In Proc. of the Int'l Conf. on Very Large Data Bases (VLDB), 1995.
4. R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In Proceedings of the 20th VLDB Conference, Santiago, Chile, 1994.
5. R. Agrawal and R. Srikant. Mining sequential patterns. In Proceedings of the 11th International Conmference on Data Engineering, Taipei, Taiwan, 1995.
6. M. Mehta, R. Agrawal, and J. Rissanen. Sliq: A fast scalable classifier for data mining. March 1996.
7. R. Srikant and R. Agrawal. Mining generalized association rules. 1995.
8. H. Toivonen. Sampling large databases for association rules. Proc. of the Int'l Conf. on Very Large Data Bases (VLDB), 1996.