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
  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,
  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,}


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
Contents BibTeX


Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami: Mining Association Rules between Sets of Items in Large Databases. SIGMOD Conference 1993: 207-216 BibTeX
James F. Allen: Maintaining Knowledge about Temporal Intervals. Commun. ACM 26(11): 832-843(1983) BibTeX
Rakesh Agrawal, Heikki Mannila, Ramakrishnan Srikant, Hannu Toivonen, A. Inkeri Verkamo: Fast Discovery of Association Rules. Advances in Knowledge Discovery and Data Mining 1996: 307-328 BibTeX
Rakesh Agrawal, Ramakrishnan Srikant: Fast Algorithms for Mining Association Rules in Large Databases. VLDB 1994: 487-499 BibTeX
Rakesh Chandra, Arie Segev, Michael Stonebraker: Implementing Calendars and Temporal Rules in Next Generation Databases. ICDE 1994: 264-273 BibTeX
Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama: Data Mining Using Two-Dimensional Optimized Accociation Rules: Scheme, Algorithms, and Visualization. SIGMOD Conference 1996: 13-23 BibTeX
Jiawei Han, Yongjian Fu: Discovery of Multiple-Level Association Rules from Large Databases. VLDB 1995: 420-431 BibTeX
Bruce Leban, David McDonald, David Forster: A Representation for Collections of Temporal Intervals. AAAI 1986: 367-371 BibTeX
Banu Özden, Sridhar Ramaswamy, Abraham Silberschatz: Cyclic Association Rules. ICDE 1998: 412-421 BibTeX
Jong Soo Park, Ming-Syan Chen, Philip S. Yu: An Effective Hash Based Algorithm for Mining Association Rules. SIGMOD Conference 1995: 175-186 BibTeX
Mark A. Roth, Henry F. Korth, Abraham Silberschatz: Extended Algebra and Calculus for Nested Relational Databases. ACM Trans. Database Syst. 13(4): 389-417(1988) BibTeX
Ramakrishnan Srikant, Rakesh Agrawal: Mining Generalized Association Rules. VLDB 1995: 407-419 BibTeX
Ramakrishnan Srikant, Rakesh Agrawal: Mining Quantitative Association Rules in Large Relational Tables. SIGMOD Conference 1996: 1-12 BibTeX
Ashok Savasere, Edward Omiecinski, Shamkant B. Navathe: An Efficient Algorithm for Mining Association Rules in Large Databases. VLDB 1995: 432-444 BibTeX
Hannu Toivonen: Sampling Large Databases for Association Rules. VLDB 1996: 134-145 BibTeX

Referenced by

  1. Laks V. S. Lakshmanan, Raymond T. Ng, Jiawei Han, Alex Pang: Optimization of Constrained Frequent Set Queries with 2-variable Constraints. SIGMOD Conference 1999: 157-168
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