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

Chen, Xiaojun; Bhattrai, Premlal

 
9783846537732: Clustering And Optimization Models for Commercial Decisions: A Case Study Based on Membership Card Generation in A Hypermarket
Couverture souple
ISBN 10 : 384653773X ISBN 13 : 9783846537732
Editeur : LAP LAMBERT Academic Publishing, 2011

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.

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Présentation de l'éditeur

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.

Biographie de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
384653773X
ISBN 13 
9783846537732
Reliure
Broché
Nombre de pages
100
Coordonnées du fabricant
non disponible
Personne responsable
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