An optimized fuzzy method for finding actions

摘要

Most of machine learning and data mining techniques only focus on finding patterns satisfying technical interestingness measures. They do not consider business interestingness measures in the mining process, so most of mined patterns may not be usable in corresponding domain. Moreover, the techniques do not interpret the patterns in order that business people know what actions to take to support their business decisions. They require a considerable amount of extra work by domain experts to interpret the patterns. Actionable Knowledge Discovery techniques deliver technical and business significant patterns and support automatically converting patterns into deliverables in business-friendly and operable forms such as actions.