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Data Mining Techniques in CRM - Konstantinos Tsiptsis; Antonios Chorianopoulos
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2011, ISBN: 9781119965459

Inside Customer Segmentation, eBooks, eBook Download (EPUB), 1. Auflage, This is an applied handbook for the application of data mining techniques in the CRM framework. It combines a tech… Más…

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Data Mining Techniques in CRM : Inside Customer Segmentation - Gotz Nordbruch
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Data Mining Techniques in CRM : Inside Customer Segmentation - libro nuevo

ISBN: 9781119965459

This is an applied handbook for the application of data mining techniques in the CRM framework.It combines a technical and a business perspective to cover the needs of business users who … Más…

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Data Mining Techniques in CRM : Inside Customer Segmentation - Konstantinos K. Tsiptsis
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Data Mining Techniques in CRM : Inside Customer Segmentation - libro nuevo

ISBN: 9781119965459

This is an applied handbook for the application of data mining techniques in the CRM framework.It combines a technical and a business perspective to cover the needs of business users who … Más…

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ISBN: 9781119965459

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Data Mining Techniques in CRM - libro nuevo

ISBN: 9781119965459

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Data Mining Techniques in CRM
Autor:
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ISBN:

9781119965459

Detalles del libro - Data Mining Techniques in CRM


EAN (ISBN-13): 9781119965459
ISBN (ISBN-10): 1119965454
Año de publicación: 2011
Editorial: John Wiley & Sons
372 Páginas
Idioma: eng/Englisch

Libro en la base de datos desde 2012-01-08T12:22:24+01:00 (Madrid)
Página de detalles modificada por última vez el 2023-11-29T12:43:18+01:00 (Madrid)
ISBN/EAN: 9781119965459

ISBN - escritura alterna:
1-119-96545-4, 978-1-119-96545-9
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: konstantinos, götz nordbruch
Título del libro: crm, data mining

Datos del la editorial

Autor: Konstantinos Tsiptsis; Antonios Chorianopoulos
Título: Data Mining Techniques in CRM - Inside Customer Segmentation
Editorial: Wiley; John Wiley & Sons
372 Páginas
Año de publicación: 2011-08-24
Idioma: Inglés
64,99 € (DE)
Not available (reason unspecified)

EA; E101; E-Book; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Business & Management; Business Statistics & Math; Computer Science; Customer Relationship Management; Data Mining; Data Mining Statistics; Database & Data Warehousing Technologies; Datenbanken u. Data Warehousing; Informatik; Statistics; Statistik; Wirtschaft u. Management; Wirtschaftsmathematik u. -statistik; Wirtschaftsmathematik u. -statistik; Datenbanken u. Data Warehousing; Data Mining; Data Mining; BB

Acknowledgements. 1. Data Mining in CRM. The CRM Strategy. What Can Data Mining Do? The Data Mining Methodology. Data Mining and Business Domain Expertise. Summary. 2. An Overview of Data Mining Techniques. Supervised Modeling. Unsupervised Modeling Techniques. Machine Learning/Artificial Intelligence vs. StatisticalTechniques. Summary. 3. Data Mining Techniques for Segmentation. Segmenting Customers with Data Mining Techniques. Principal Components Analysis. Clustering Techniques. Examining and Evaluating the Cluster Solution. Understanding the Clusters through Profiling. Selecting the Optimal Cluster Solution. Cluster Profiling and Scoring with Supervised Models. An Introduction to Decision Tree Models. Summary. 4. The Mining Data Mart. Designing the Mining Data Mart. The Time Frame Covered by the Mining Data Mart. The Mining Data Mart for Retail Banking. The Mining Data Mart for Mobile Telephony Consumer (Residential)Customers. The Mining Data Mart for Retailers. Summary. 5. Customer Segmentation. An Introduction to Customer Segmentation. Segmentation Types in Consumer Markets. Segmentation in Business Markets. A Guide for Behavioral Segmentation. Segmentation Management Strategy. A Guide for Value-Based Segmentation. Designing Differentiated Strategies for the Value Segments. Summary. 6. Segmentation Applications in Banking. Segmentation for Credit Card Holders. Segmentation in Retail Banking. The Marketing Process. Segmentation in Retail Banking; A Summary. 7. Segmentation Applications in Telecommunications. Mobile Telephony. The Fixed Telephony Case. Summary. 8. Segmentation for Retailers. Segmentation in the Retail Industry. The RFM Analysis. Grouping Customers According to the Products They Buy. Summary. Further Reading. Index.

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