International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 44 - Number 9 |
Year of Publication: 2012 |
Authors: Meghna Utmal, Shailendra Chourasia, Rashmi Vishwakarma |
10.5120/6292-8488 |
Meghna Utmal, Shailendra Chourasia, Rashmi Vishwakarma . A Novel Approach for Finding Frequent Itemsets done by Comparison based Technique. International Journal of Computer Applications. 44, 9 ( April 2012), 23-27. DOI=10.5120/6292-8488
Frequent pattern mining has been a focused theme in data mining research for over a decade. Abundant literature has been dedicated to this research and tremendous progress has been made, ranging from efficient and scalable algorithms for frequent itemset mining in transaction databases to numerous research frontiers, such as sequential pattern mining, structured pattern mining, correlation mining, associative classification, and frequent pattern-based clustering, as well as their broad applications. In this paper, we develop a new technique for more efficient pattern mining. Our method find frequent 1-itemset and then uses the heap tree sorting we are generating frequent patterns, so that many. We present efficient techniques to implement the new approach.