Data Mining and Industrial Applications

Data Mining is becoming increasingly important in industry where one would like to make decisions such as to mail/not mail a catalog, how to maximize customer's satisfaction, what message to send on the networks to specific groups of callers, etc. The modeling issues combine methods of pattern recognition, computer science and statistics.

Given database, one would like to design partitions that give accurate description; feature analysis is required to determine where are the information bearing variables; non-parametric techniques and neural networks may possibly be used to achieve very high insight. The goal of data mining is to achieve predictive modeling, based on accuracy and insight.

The period of concentration brought together researchers from industry and university in order to (i) identify the current and future problem areas, (ii) review the mathematical and statistical approaches presently being used, and (iii) discuss and determine which research directions would be most promising.