Neural networks for data mining

Abstract

During the last few years data mining (DM) has emerged as one of the coolest novel information technology. The key issue is the use of software to extract new, potentially useful information from the huge amount of data that has been amassed using computer technology. Inherently cross-disciplinary, DM integrates theory and practice from statistics, artificial and computational intelligence, database management, and visualization. Neural networks and fuzzy logic are often overlooked as a key technology for state-of the art DM applications. This paper provides a survey indicating the strengths and weaknesses of neural networks for data mining.