Clustering And Optimization Models for Commercial Decisions: A Case Study Based on Membership Card Generation in A Hypermarket

Chen, Xiaojun, Bhattrai, Premlal

ISBN 10: 384653773X / ISBN 13: 9783846537732

Published by LAP LAMBERT Academic Publishing, 2011

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Bibliographic Details

• Title: Clustering And Optimization Models for Commercial Decisions: A Case Study Based on Membership Card Generation in A Hypermarket
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2011
• Language: English
• ISBN 10: 384653773X
• ISBN 13: 9783846537732
• Binding: paperback
• Condition: New
• Book Type: book

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Synopsis

Data mining as a technique is used to find interesting and valuable knowledge from huge amount of stored data within databases or data warehouses. It encompasses classification, clustering, association rule learning, etc., whose goal is to improve commercial decisions and behaviors in organizations. In this project, we built clustering and optimization models as a two-step sequential method. In the first step, the clustering model was used to segment customers into different clusters. While in the second step, our optimization model was utilized to produce different types of membership cards. Conclusively, this research provides a basis for customer segmentation and membership card generation in a hypermarket by way of data mining and optimization techniques. Through our research, fuzzy clustering method can be suitably used for customer segmentation in a real world application and optimization model can be appropriately used for membership card generation.

About the Author

The author holds a Master degree of Computer Science in Blekinge Institute of Technology, Sweden. He is dedicated to researching Data Mining, Decision Support, Optimization and Software Architecture. Furthermore, Xiaojun Chen was engaged in the project development and design in these fields.