This work demonstrated that, though impressive results have been achieved for some data mining problems Survey on Frequent Pattern Mining Bart Goethals HIIT Basic Research Unit Department of Computer Science University of Helsinki P.O. box 26, FIN-00014 Helsinki Finland 1 Introduction Frequent itemsets play an essential role in many data mining tasks that try to ﬁnd interesting patterns from databases, such as association rules, correlations, sequences, episodes, classiﬁers, clusters and ... What is Frequent Pattern Mining? Definition of Frequent Pattern Mining: Searches and analyzes high volumes of valuable data for implicit, previously unknown, and potentially useful patterns consisting of frequently co-occurring events or objects.
Mining frequent items, itemsets, subsequences, or other substructures is usually among the first steps to analyze a large-scale dataset, which has been an active research topic in data mining for years. We refer users to Wikipedia's association rule learning for more information.