The Role of Statistics in IS/IT: Practical Gains from Mined Data

Authors:
Edward J. Dudewicz;Zaven A. Karian
Affiliations:
Department of Mathematics, 215 Carnegie Hall, Syracuse University, Syracuse, New York 13244-1150;Department of Mathematics and Computer Science, Denison University, Granville, Ohio 43023
Venue:
Information Systems Frontiers
Year:
1999

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Abstract

Data mining has, in the past, tended to use simplistic statistical methods (or even none at all). In this paper we show by example how cutting edge (but easy to use and comprehend) statistical methods can yield substantial gains in data mining. The role of statistics in IS/IT (information systems and information technology) in general can be substantial, yielding more nearly optimal performance of problems at the emerging frontiers in all their aspects.