Research Article Open Access

Mining Level-Crossing Association Rules from Large Databases

R. S. Thakur, R. C. Jain and K. R. Pardasani

Abstract

Existing algorithms for mining association rule at multiple concept level, restricted mining strong association among the concept at same level of a hierarchy. However mining level-crossing association rule at multiple concept level may lead to the discovery of mining strong association among at different level of hierarchy. In this study, a top-down progressive deepening method is developed for mining level-crossing association rules in large transaction databases by extension of some existing multiple-level association rule mining techniques. This method is using concept of reduced support and refine the transaction table at each level.

Journal of Computer Science
Volume 2 No. 1, 2006, 76-81

DOI: https://doi.org/10.3844/jcssp.2006.76.81

Submitted On: 14 July 2005 Published On: 31 January 2006

How to Cite: Thakur, R. S., Jain, R. C. & Pardasani, K. R. (2006). Mining Level-Crossing Association Rules from Large Databases. Journal of Computer Science, 2(1), 76-81. https://doi.org/10.3844/jcssp.2006.76.81

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Keywords

  • Mining algorithms
  • mining association rules
  • level-crossing association rules