SOFT COMPUTING FOR INTELLIGENT DATA ANALYSIS USING GENETIC ALGORITHM

Abstract

Soft Computing (SC) and Intelligent Data Analysis (IDA) provide powerful tools for drawback resolution
during a form of domains. A non-exhaustive list of typical applications includes consumer segmentation,
fraud detection, credit marking, method management, provision and data retrieval. Applications are often
found altogether sectors: engineering, finance, marketing, research, bio informatics, medicine, the
tremendous potential of SC and International Development Association has created a requirement for
well-trained professionals during this field. The associate analysis of enormous amounts of knowledge
becomes an ever additional necessary issue in science and business. Users, typically domain specialists,
square measure visage with an enormous challenge and need support. during this paper we glance
however knowledge analysis are often showing intelligence supported and the way soft computing
strategies will facilitate. As examples, we glance at some mental image ideas, approximate matching in
frequent pattern mining as a technical example, and a few industrial applications involved with advanced
analytical situations and aspects of automating analytics.