A Decision Support System Using Decision Trees For The Retail Industry

Ahmadi, Behjat (2012) A Decision Support System Using Decision Trees For The Retail Industry. Masters thesis, Multimedia University.

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Abstract

Credit analysis model have been developed by many companies and researches to improve the accuracy of credit decisions. The main purpose of this method is to increase creditworthy identification. Today,more banks use classification algorithms to classify customer information. One of the classification models is decision tree. In this work,were used two popular decision tree algorithms to perform classification on the German credit dataset.

Item Type: Thesis (Masters)
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Users 1102 not found.
Date Deposited: 20 Nov 2012 06:11
Last Modified: 20 Nov 2012 06:11
URI: http://shdl.mmu.edu.my/id/eprint/3626

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