Comparing Performance of Formal Concept Analysis and Closed Frequent Itemset Mining Algorithms on Real Data
Lenka Pisková, Tomáš Horváth · 2013
Abstract. In this paper, an experimental comparison of publicly available algorithms for computing intents of all formal concepts and mining frequent closed itemsets is provided. Experiments are performed on real data sets from UCI Machine Learning Repository and FIMI Repository. Results of experiments are discussed at the end of the paper. 1