Clustering Algorithm for Market-Basket Analysis: The Underlying Concept of Data Mining Technology

Abdul Kadir, Khairil Annuar (2003) Clustering Algorithm for Market-Basket Analysis: The Underlying Concept of Data Mining Technology. Masters thesis, Universiti Putra Malaysia.

[img] PDF
427Kb

Abstract

The goal of data mining is to extract interesting correlated information from large databases. This thesis seeks to understand the underlying concept of data mining technology in market-basket analysis. The clustering algorithm based on Small Large Ratios, SLR is presented in a manner that helps to understand the concept of data mining technology in marketbasket analysis. The author used a data mining software called PolyAnalyst 4.5 to perform analysis on the set of items that customers have bought in supermarket for market-basket application. In this research, the author tried to relate the algorithm presented with the experiment. Then, the author discussed the results by showing an application of marketbasket analysis. The statistical results from the PolyAnalyst's reports are explained and elaborated further i n the results section. The author summarized the findings and tried to relate them to the benefits of data mining towards organizations.

Item Type:Thesis (Masters)
Subject:Data mining
Subject:Cluster analysis - Computer programs
Chairman Supervisor:Professor Madya Dr. Md. Nasir b. Sulaiman
Call Number:FSKTM 2003 7
Faculty or Institute:Faculty of Computer Science and Information Technology
ID Code:8705
Deposited By: Nurul Hayatie Hashim
Deposited On:15 Dec 2010 04:54
Last Modified:12 Dec 2012 05:20

Repository Staff Only: Edit item detail

Document Download Statistics

This item has been downloaded for since 15 Dec 2010 04:54.

View statistics for "Clustering Algorithm for Market-Basket Analysis: The Underlying Concept of Data Mining Technology"


Universiti Putra Malaysia Institutional Repository

Universiti Putra Malaysia Institutional Repository is an on-line digital archive that serves as a central collection and storage of scientific information and research at the Universiti Putra Malaysia.

Currently, the collections deposited in the IR consists of Master and PhD theses, Master and PhD Project Report, Journal Articles, Journal Bulletins, Conference Papers, UPM News, Newspaper Cuttings, Patents and Inaugural Lectures.

As the policy of the university does not permit users to view thesis in full text, access is only given to the first 24 pages only.