Soft Computing Approaches to Classification and Clustering in Data Mining

Abstract

In this present era of computing, data mining is one of the leading area of research, which is a newlineinterdisciplinary topic involving the synthesis of multiple disciplines such as statistics, newlinemachine learning, evolutionary algorithms, computational intelligence, advanced algorithms, newlinebiological systems, artificial intelligence etc. The present scenario of computing is always newlineaccompanied with some large volume of data surrounding from it. So, there must be some newlinetools and techniques for the analysis and processing of these data and the transformation of newlinedata into useful information, which is helpful in decision-making. The need for novel data newlineanalysis techniques have been increased due to the modern age of advanced computing, where newlineinternet, intranet are the major sources of data collection. Sometimes, it becomes very newlinedifficult to handle a huge amount of data having more than a million of records, stored in data newlinewarehouses and thus the need of advanced data mining techniques have more importance than newlinethe traditional data analyzing tools. Moreover, day by day the influence of such techniques newlinehas been remained utmost interest of the researchers due to the growing application coverage newlineof data mining in different fields such as science, engineering, real applications and newlinedeveloping competitive industries. newline