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Talk Abstract
Developing Industrial Data Mining and Knowledge Discovery Applications: an Overview of Issues

Gregory Piatetsky-Shapiro, GTE Laboratories, Waltham

The rapid growth of business databases has overwhelmed traditional, interactive approaches to data analysis and has created a need for a new generation of tools for intelligent and automated discovery in data. This paper surveys some industrial applications of this emerging field, called data mining and knowledge discovery. We define the goals, tasks, and methods of data mining, examine the knowledge discovery process and the tools that support it, look at some representative applications, and discuss the challenges for a successful deployment of data mining applications and their adoption by business users.

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1996-1997 Mathematics in High Performance Computing

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