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

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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.

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Authors and Affiliations

  1. Department of Mathematics, Syracuse University, 215 Carnegie Hall, Syracuse, New York, 13244-1150

    Edward J. Dudewicz

  2. Department of Mathematics and Computer Science, Denison University, Granville, Ohio, 43023

    Zaven A. Karian

Authors
  1. Edward J. Dudewicz
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  2. Zaven A. Karian
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Dudewicz, E.J., Karian, Z.A. The Role of Statistics in IS/IT: Practical Gains from Mined Data. Information Systems Frontiers 1, 259–266 (1999). https://doi.org/10.1023/A:1010002428579

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  • DOI: https://doi.org/10.1023/A:1010002428579

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