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Data mining, market basket analysis : a case study of sales data

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dc.contributor.advisor Guha, Sumanta (Chairperson) en_US
dc.contributor.author Nawarerk Chalarak en_US
dc.contributor.other Vatcharaporn Esichaikul (Member) en_US
dc.contributor.other Donyaprueth Krairit (Member) en_US
dc.date.accessioned 2015-01-12T10:43:41Z
dc.date.available 2015-01-12T10:43:41Z
dc.date.issued 2009-05 en_US
dc.identifier.other AIT RSPR no.IM-09-05 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/467
dc.description Submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information Management en_US
dc.description.abstract The purpose of this research is to apply data mining theory to a particular clothing business data and find the relationships between products. These relationships can help the owners improve their business. However, an issue is the huge amount of information available and the various forms of storage – causing difficulty in understanding and utilizing the data. Therefore, we deploy information management tools and techniques to manage and analyze the data. A primary goal of this research is to understand the sales transactional data, in particular, to find patterns in customer purchases. In order to make more effective data analysis, the Apriori algorithm and Weka software were adopted to use. The outcome of the analysis is a deeper understanding of customer behavior, inter-relationships between products as customers purchase them and finally, a set of recommendations for the owners to improve their marketing strategy. en_US
dc.description.sponsorship Thailand (HM King) en_US
dc.language.iso eng en_US
dc.publisher Asian Institute of Technology en_US
dc.subject Data mining en_US
dc.subject Clothing and dress -- Databases en_US
dc.subject.lcsh Others en_US
dc.title Data mining, market basket analysis : a case study of sales data en_US
dc.type Research Report en_US
dc.rights.holder Copyright (C) 2009 by Asian Institute of Technology. en_US


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