@article {10.3844/jcssp.2006.76.81,
article_type = {journal},
title = {Mining Level-Crossing Association Rules from Large Databases},
author = {Thakur, R. S. and Jain, R. C. and Pardasani, K. R.},
volume = {2},
number = {1},
year = {2006},
month = {Jan},
pages = {76-81},
doi = {10.3844/jcssp.2006.76.81},
url = {https://thescipub.com/abstract/jcssp.2006.76.81},
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 = {Journal of Computer Science},
publisher = {Science Publications}
}