Survey on Weighted Frequent Pattern Mining

Data mining is the collection of techniques for the resourceful, automatic discovery of previously unknown, suitable, novel, helpful and understandable patterns in large databases. Frequent pattern mining has emerged as a vital task in data mining. Frequent patterns are those that occur frequently in a data set. In traditional frequent pattern mining, patterns and items within the patterns are treated uniformly with the assumption that all items have same significance. However, real items have different importance as some of the items are more beneficial in terms of profit. This thought resulted in weighted frequent pattern mining in which benefits are taken into account. In this paper, comprehensive survey of the techniques used in mining weighted frequent patterns is being discussed.