Performance Analysis of Rare Itemset Mining Algorithms
A Varsur Jalpa, P Desai Sonali, B Hathi Karishma · Journal of Emerging Technologies and Innovative Research · 2015
Rare Or Infrequent itemset mining is a very important mining technique with wide applications. It found very useful in various domains like medical,biology,banking,retail,telecommunication industry,market basket analysis,predicting pre-birth terms etc.It discovers the hidden interesting association between data items.Infrequent itemset mining is a variant of frequent itemset also called rare itemset.Basic technique to find the correlation of data is Association Rule Mining.It has mainly two concepts Support and Confidence.Threshold plays a key role in deciding the interesting itemsets.The rare itemset may not found if high threshold is set.Some uninteresting items are appear if low threshold is set.for eg, Rare symptom which leads to disease. This paper focus on various mining algorithms like Apriori,FP-Growth,IWI Mining,MIWI Miner etc.