1 AIT Asian Institute of Technology

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

AuthorNawarerk Chalarak
Call NumberAIT RSPR no.IM-09-05
Subject(s)Data mining
Clothing and dress--Databases

NoteA research study submitted in partial fulfillment of the requirements for thedegree of Master of Engineering inInformation Management, School of Engineering and Technology
PublisherAsian Institute of Technology
Series StatementResearch studies project report ; no. IM-09-05
AbstractThe 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 informat ion 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 t he 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 custome r behavior, inter - relationships between products as customers purchase them and f inally, a set of recommendations for the owners to improve their marketing strategy
Year2009
Corresponding Series Added EntryAsian Institute of Technology. Research studies project report ; no. IM-09-05
TypeResearch Study Project Report (RSPR)
SchoolSchool of Engineering and Technology (SET)
DepartmentDepartment of Information and Communications Technologies (DICT)
Academic Program/FoSInformation Management (IM)
Chairperson(s)Guha, Sumanta;
Examination Committee(s)Vatcharaporn Esichaikul;Donyaprueth Krairit;
Scholarship Donor(s)Thailand (HM King);
DegreeResearch Studies Project Report (M.Eng.) - Asian Institute of Technology, 2009


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