Data Mining Techniques For E-Commerce Applications

Ahmed Giha, Fatma Elsheikh (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 > HF5548.7-5548.85 Industrial psychology
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 02 Jul 2010 04:23
Last Modified: 02 Jul 2010 04:23
URI: http://shdl.mmu.edu.my/id/eprint/787

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