Knowledge Discovery in Databases (KDD) is a new field of research concerned with the extraction of high-level information (knowledge) from low-level data (usually stored in large databases) (1). It is an area of interest to researchers and practitioners from any fields including: AI, statistics, pattern recognition, databases, visualization, and high-performance and parallel computing. The basic problem is to search databases for patterns or models that can be useful in accomplishing one or more goals.
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