Mining Data with Group Theoretical Means

Mining Data with Group Theoretical Means

Gabriele Kern-Isberner (University of Dortmund, Germany)
Copyright: © 2005 |Pages: 5
DOI: 10.4018/978-1-59140-557-3.ch145
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Abstract

Knowledge discovery refers to the process of extracting new, interesting, and useful knowledge from data and presenting it in an intelligible way to the user. Roughly, knowledge discovery can be considered a three-step process: preprocessing data; data mining, in which the actual exploratory work is done; and interpreting the results to the user. Here, I focus on the data-mining step, assuming that a suitable set of data has been chosen properly.

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