Theoretical frameworks for data mining-Reference-Cited by-同舟云学术

Theoretical frameworks for data mining

Published:2000-01 Issue:2 Volume:1 Page:30-32
ISSN:1931-0145
Container-title:ACM SIGKDD Explorations Newsletter
language:en
Short-container-title:SIGKDD Explor. Newsl.

Author:

Mannila Heikki¹

Affiliation:

1. Nokia Research Center, Nokia Group, Finland

Publisher

Association for Computing Machinery (ACM)

Reference15 articles.

1. Mining association rules between sets of items in large databases

2. R. Agrawal H. Mannila R. Srikant H. Toivonen and A. I. Verkamo: Fast discovery of association rules Advances in Knowledge Discovery and Data Mining" Advances in Knowledge Discovery and Data Mining U. M. Fayyad G. Piatetsky-Shapiro P. Smyth and R. Uthurusamy (eds.) AAA1 Press 1996 p. 307--328.]] R. Agrawal H. Mannila R. Srikant H. Toivonen and A. I. Verkamo: Fast discovery of association rules Advances in Knowledge Discovery and Data Mining" Advances in Knowledge Discovery and Data Mining U. M. Fayyad G. Piatetsky-Shapiro P. Smyth and R. Uthurusamy (eds.) AAA1 Press 1996 p. 307--328.]]

3. J.-F. Boulicaut M. Klemettinen and H. Mannila: Modeling KDD Processes within the Inductive Database Framework. Data Warehousing and Knowledge Discovery (DaWaK 1999)} M. K. Mohania and A. M. Tjoa (eds) p. 293--302]] J.-F. Boulicaut M. Klemettinen and H. Mannila: Modeling KDD Processes within the Inductive Database Framework. Data Warehousing and Knowledge Discovery (DaWaK 1999)} M. K. Mohania and A. M. Tjoa (eds) p. 293--302]]

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