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Mining Large Itemsets for Association Rules.

Charu C. Aggarwal, Philip S. Yu: Mining Large Itemsets for Association Rules. IEEE Data Eng. Bull. 21(1): 23-31(1998)
@article{DBLP:journals/debu/AggarwalY98,
  author    = {Charu C. Aggarwal and
               Philip S. Yu},
  title     = {Mining Large Itemsets for Association Rules},
  journal   = {IEEE Data Eng. Bull.},
  volume    = {21},
  number    = {1},
  year      = {1998},
  pages     = {23-31},
  ee        = {db/journals/debu/AggarwalY98.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

This paper provides a survey of the itemset method for association rule generation. The paper discusses past research on the topic and also studies the relevance and importance of the itemset method in generating associ-ation rules. We discuss a number of variations of the association rule problem which have been proposed in the literature and their practical applications. Some inherent weaknesses of the large itemset method for associa-tion rule generation have been explored. We also discuss some other formulations of associations which can be viable alternatives to the traditional association rule generation method.

Copyright © 1998 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.


ACM SIGMOD Anthology

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Online Edition:

Data Engineering Bulletin March 1998: Mining of Large Datasets (Daniel Barbara, ed.)
( letter+figures , letter-figures , A4+figures , A4-figures , PDF+figures)

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