WIT Press


A Comparison Of Methods For Customer Classification

Price

Free (open access)

Paper DOI

10.2495/DATA980251

Volume

22

Pages

15

Published

1998

Size

1,162 kb

Author(s)

Maria Celia S.Lopes, Myrian C.A. Costa & Nelson F.F.Ebecken

Abstract

This work presents a comparison of current methods used for classification problems. The solution of two typical applications related to Customer Classification for Business Applications are considered: the first proposed in the Second International Competition of Data Analysis by Intelligent Techniques [6] and a higher dimensionality case. 1 Introduction Recently, databases with hundred of fields and tables and million of records are being treated with data mining tools. A very large number of records in the database and a very large number of fields, generate a high dimensionality problem. This creates difficulties in terms of increasing the size of the search space for model induction and generat

Keywords