A Comparison Of Methods For Customer Classification
Price
Free (open access)
Volume
22
Pages
15
Published
1998
Size
1,162 kb
Paper DOI
10.2495/DATA980251
Copyright
WIT Press
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