ACM SIGMOD Anthology VLDB dblp.uni-trier.de

On the Discovery of Interesting Patterns in Association Rules.

Sridhar Ramaswamy, Sameer Mahajan, Abraham Silberschatz: On the Discovery of Interesting Patterns in Association Rules. VLDB 1998: 368-379
@inproceedings{DBLP:conf/vldb/RamaswamyMS98,
  author    = {Sridhar Ramaswamy and
               Sameer Mahajan and
               Abraham Silberschatz},
  editor    = {Ashish Gupta and
               Oded Shmueli and
               Jennifer Widom},
  title     = {On the Discovery of Interesting Patterns in Association Rules},
  booktitle = {VLDB'98, Proceedings of 24rd International Conference on Very
               Large Data Bases, August 24-27, 1998, New York City, New York,
               USA},
  publisher = {Morgan Kaufmann},
  year      = {1998},
  isbn      = {1-55860-566-5},
  pages     = {368-379},
  ee        = {db/conf/vldb/RamaswamyMS98.html},
  crossref  = {DBLP:conf/vldb/98},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Many decision support systems, which utilize association rules for discovering interesting patterns, require the discovery of association rules thatvary over time. Such rules describe complicated temporal patterns such as events that occur on the "first working day of every month." In this paper, we study the problem of discovering how association rules vary over time. In particular, we introduce the idea of using a calendar algebra todescribe complicated temporal phenomena of interest to the user. We then present algorithms for discovering calendric association rules, which are association rules that follow the patterns set forth in theuser supplied calendar expressions. We devise various optimizations that speed up the discovery of calendric association rules. We show, through an extensive series of experiments, that these optimization techniques provide performance benefits ranging from 5% to 250% over a less sophisticated algorithm.

Copyright © 1998 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.


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Ashish Gupta, Oded Shmueli, Jennifer Widom (Eds.): VLDB'98, Proceedings of 24rd International Conference on Very Large Data Bases, August 24-27, 1998, New York City, New York, USA. Morgan Kaufmann 1998, ISBN 1-55860-566-5
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