Profit pattern mining using soft computing for decision making: Pattern mining using vague set and genetic algorithm

Problem of decision making is a crucial task in every business. Profit Pattern Mining hit the target byminimizes the gap between statistical based pattern generation and value base decision making. Butthis job is found very difficult when it depends on the large, imprecise and vague environment, which isfrequent in recent years. The concept of soft computing with data mining is novel way to address thisdifficulty. The general approaches to association rule mining focus on inducting rule by using correlationamong data and finding frequent occurring patterns. The major technique uses support and confidencemeasures for generating rules which is not adequate nowadays as a measure of interest, since the datahave become more multifaceted these days, it's a necessary to find solution that deals with such problemsand uses some new measures like profit, significance etc. In this chapter, authors apply concept of patternmining with vague set theory, Genetic algorithm theory and related properties to the commercialmanagement to deal with business decision making problem.