9783846537732 - Clustering And Optimization Models for Commercial Decisions: A Case Study Based on Membership Card Generation in A Hypermarket di Chen, Xiaojun; Bhattrai, Premlal (8 risultati)

Paperback. Condizione: Brand New. 100 pages. 8.66x5.91x0.23 inches. In Stock.

Paperback. Condizione: Brand New. 100 pages. 8.66x5.91x0.23 inches. In Stock.

Taschenbuch. Condizione: Neu. 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.

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 100 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chen XiaojunThe 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 .

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.