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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… Altro …

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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 … Altro …

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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 - nuovo libro

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 … Altro …

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Data Mining Techniques in CRM
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1119965454

Informazioni dettagliate del libro - Data Mining Techniques in CRM


EAN (ISBN-13): 9781119965459
ISBN (ISBN-10): 1119965454
Anno di pubblicazione: 2011
Editore: John Wiley & Sons
372 Pagine
Lingua: eng/Englisch

Libro nella banca dati dal 2012-01-08T12:22:24+01:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-11-29T12:43:18+01:00 (Zurich)
ISBN/EAN: 1119965454

ISBN - Stili di scrittura alternativi:
1-119-96545-4, 978-1-119-96545-9
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : konstantinos, götz nordbruch
Titolo del libro: crm, data mining

Dati dell'editore

Autore: Konstantinos Tsiptsis; Antonios Chorianopoulos
Titolo: Data Mining Techniques in CRM - Inside Customer Segmentation
Editore: Wiley; John Wiley & Sons
372 Pagine
Anno di pubblicazione: 2011-08-24
Lingua: Inglese
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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