Analysis on high utility infrequent ItemSets mining over transactional database
Infrequent itemsets mining is an extremely important mining technique of Association Rule Mining (ARM) with wide applications. It found very helpful in a variety of domains like remedial, biology, banking, retail, market basket analysis, etc. Infrequent itemsets finds the hidden an association among the data items. The rare consolidation of the itemsets can be interesting and more profitable. The paper gives a brief idea about the work completed till date on infrequent item sets and utility mining also proposes a latest advance for their preservation. In this paper, analysis on the high utility infrequent itemsets using Utility Pattern Rare Itemset (UPRI) algorithm has been done. We have also found out High utility rare itemset patterns. A comparative study is given on the work completed. The proposed work will be implemented further using dynamic approach for high utility itemset.
2016 IEEE International Conference on Recent Trends in Electronics, Information Communication Technology (RTEICT)