An Analytical Study of Various Frequent Itemset Mining Algorithms
S Patel Tushar, Panchal Mayur, Ladumor Dhara, Kapadiya Jahnvi, Desai Piyusha, Prajapati Ashish, Prajapati Reecha · 2013
Frequent pattern mining has been a focused theme in data mining research for over a decade. The research and tremendous progress has been made, ranging from efficient and scalable algorithms for frequent itemset mining in transaction databases to numerous research frontiers. The time required for generating frequent itemsets plays an important role. In this paper, study includes depth analysis of algorithms and discusses some problems of generating frequent itemsets from the algorithm. We have explored the unifying feature among the internal working of various mining algorithms. The comparative study of algorithms includes aspects like different support values.