Clustering Marketing Datasets with Data Mining Techniques

Örnek, Özgür and Subasi, Abdulhamit (2010) Clustering Marketing Datasets with Data Mining Techniques. In: 2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo.

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Abstract

Customer analysis is crucial phase for companies in order to create new campaign for their existing customers. If a company can understand customer features and make efforts to fulfill their wants and provide friendly service then the customer will be more supportive to the enterprise. The aim of this study was to develop a methodology to identify the characteristics of customers. It involved identification of the demographic characteristics of customers based on the analysis of categorical data using data mining clustering methods. The extracted knowledge can help companies identify valuable customers, and enable companies to make efficient knowledge-driven decisions.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Data mining, Clustering, Marketing Segmentation, K-means, E-M Algorithm
Subjects: Q Science > Q Science (General)
Depositing User: Mr. Ibrahim Kinal
Date Deposited: 07 Feb 2012 13:35
Last Modified: 24 Feb 2012 13:59
URI: http://eprints.ibu.edu.ba/id/eprint/536

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