A genetic algorithm methodology for data mining and intelligent knowledge acquisition

Data mining is a process that uses available technology to bridge the gap b etween data and logical decision making. The terminology itself provides a promising view of a systematic data manipulation for extracting useful info rmation and knowledge from the high volume of data. Numerous techniques are developed to fulfill this goal. Implement data mining in an organization w ould impact every aspect and requires both hardware and software developmen t. This paper outlines a series of discussions and description for data min ing and its methodology. First, the definition of data mining along with th e purposes and growing needs for such a technology is presented. A six-step methodology for data mining is then presented. Finally, steps from the met hodology are applied in a case study to develop a GA-Based system for intel ligent knowledge discovery for machine diagnosis. (C) 2001 Elsevier Science Ltd. All rights reserved.