Recent advances in the areas of machine learning, pattern recognition, and statistics, coupled with the availability of high volume data in business and industry, have given rise to a new level of interest in the applications of knowledge discovery and data mining. Using analytical methods for pattern extraction, clustering, and data modeling, it is possible to extract useful information from commerical data and put that information to new and innovative uses to further a business goal or strategy. The technical underpinnings of many of these techniques will be discussed, and some key industrial application scenarios highlighted.

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1996-1997 Mathematics in High Performance Computing