Data Mining Techniques for E-Commerce Applications

Fatma Elsheikh Ahmed Giha, (2004) Data Mining Techniques for E-Commerce Applications. Masters thesis, Multimedia University.

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Abstract

Data mining is a process of nontrivial extraction of implicit, previously unknown, and potentially useful information from large databases. This thesis provides an overview of data mining techniques and their modifications along with applications to e-Commerce. E-commerce problems are in general considered aa cross-selling, customer profiling and segmentation , fraud detection, and many others. Simple association rules, generalized association rules, profile association rules, and generalized profile association rules are presented to build customer profiles, based on association rules mining technique. Interestingness measures are considered to find the most interesting association rules for customer profiling and segmentation.

Item Type: Thesis (Masters)
Subjects: H Social Sciences > HF Commerce > HF5001-6182 Business > HF5546-5548.6 Office management
Depositing User: Mr Shaharom Nizam Mohamed
Date Deposited: 16 Dec 2009 08:27
Last Modified: 23 Feb 2010 08:38
URI: http://shdl.mmu.edu.my/id/eprint/144

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