TY  - JOUR
AU  - Thakur, R. S. 
AU  - Jain, R. C. 
AU  - Pardasani, K. R. 
PY  - 2006
TI  - Mining Level-Crossing Association Rules from Large Databases
JF  - Journal of Computer Science
VL  - 2
IS  - 1
DO  - 10.3844/jcssp.2006.76.81
UR  - https://thescipub.com/abstract/jcssp.2006.76.81
AB  - 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.