WIT Press


Categorization And Evaluation Of Data Mining Techniques

Price

Free (open access)

Paper DOI

10.2495/DATA980051

Volume

22

Pages

28

Published

1998

Size

2,262 kb

Author(s)

Claudio J. Meneses & Georges G. Grinstein

Abstract

A fundamental issue in the application of data mining algorithms to solve problems of real life is to know ahead of the time the usability of the algorithm for the class of problems being considered. In other words, we would like to know, before starting the KDD process for a particular problem P, with its features belonging to a type Cj of problems or tasks, how well a specific data mining algorithm Aj would perform in solving P. In this paper, we survey the main approaches to categorize and evaluate data mining techniques. This will help to clarify the relation

Keywords