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