Mining Level-Crossing Association Rules from Large Databases
R. S. Thakur, R. C. Jain and K. R. Pardasani
DOI : 10.3844/jcssp.2006.76.81
Journal of Computer Science
Volume 2, Issue 1
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.
© 2006 R. S. Thakur, R. C. Jain and K. R. Pardasani. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.