EDISC: A Class-Tailored Discretization Technique for Rule-Based Classification
IEEE Transactions on Knowledge and Data Engineering
By Khurram Shehzad
Issue Date:August 2012
Abstract—Discretization is a critical component of data mining whereby continuous attributes of a data set are converted into discrete ones by creating intervals either before or during learning. There are many good reasons for preprocessing discretization...