A. Soltani

Dept. of Computer Engineering, University of Bojnord, Bojnord, Iran.

[ 1 ] - A New Algorithm for High Average-utility Itemset Mining

High utility itemset mining (HUIM) is a new emerging field in data mining which has gained growing interest due to its various applications. The goal of this problem is to discover all itemsets whose utility exceeds minimum threshold. The basic HUIM problem does not consider length of itemsets in its utility measurement and utility values tend to become higher for itemsets containing more items...

Co-Authors

M. Soltani 1