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

Xiaojun Chen (u. a.)

ISBN 10: 384653773X / ISBN 13: 9783846537732

Published by LAP LAMBERT Academic Publishing, 2011

About this Item

Clustering And Optimization Models for Commercial Decisions | A Case Study Based on Membership Card Generation in A Hypermarket | Xiaojun Chen (u. a.) | Taschenbuch | 100 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846537732 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 106724605

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: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 7D millimeters 220 millimeters width by 150 millimeters height by 7 millimeters depth
• Weight: 167 grams
• Seller catalogs:
  • Bücher

About this title

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.