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Data Mining Techniques in CRM - Inside Customer Segmentation - Tsiptsis, Konstantinos; Chorianopoulos, Antonios
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Tsiptsis, Konstantinos; Chorianopoulos, Antonios:

Data Mining Techniques in CRM - Inside Customer Segmentation - new book

2011, ISBN: 1119965454

ID: 9781119965459

In englischer Sprache. Verlag: John Wiley & Sons, 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. EPUB, 372 Seiten, 372 Seiten, 1., Auflage, [GR: 9627 - Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik], [SW: - Wahrscheinlichkeitsrechnung und Statistik], [Ausgabe: 1][PU:John Wiley & Sons]

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Data Mining Techniques In Crm - Wiley
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Wiley:

Data Mining Techniques In Crm - new book

2011, ISBN: 9781119965459

ID: 11986534

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 are looking for a practical guide on data mining. It focuses on Customer Segmentation and presents guidelines for the development of actionable segmentation schemes. By using non-technical language it guides. 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 are looking for a practical guide on data mining. It focuses on Customer Segmentation and presents guidelines for the development of actionable segmentation schemes. By using non-technical language it guides readers through all the phases of the data mining process. eBooks, Technology, Engineering, Agriculture~~Databases~~Data Mining, Data Mining Techniques In Crm~~EBook~~9781119965459~~Antonios Chorianopoulos, , Data Mining Techniques In Crm, Antonios Chorianopoulos, 9781119965459, Wiley, 08/24/2011, , , , Wiley

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Data Mining Techniques in CRM - Antonios Chorianopoulos, Konstantinos K. Tsiptsis
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Antonios Chorianopoulos, Konstantinos K. Tsiptsis:
Data Mining Techniques in CRM - new book

8

ISBN: 9781119965459

ID: 100659781119965459

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 are looking for a practical guide on data mining. It focuses on Customer Segmentation and presents guidelines for the development of actionable segmentation schemes. By using non-technical language it guides readers through all the phases of the data mining process. Database Management, Computers, Data Mining Techniques in CRM~~ Antonios Chorianopoulos, Konstantinos K. Tsiptsis~~Database Management~~Computers~~9781119965459, en, Data Mining Techniques in CRM, Antonios Chorianopoulos, Konstantinos K. Tsiptsis, 9781119965459, Wiley, 08/24/2011, , , , Wiley, 08/24/2011

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Data Mining Techniques in CRM - Konstantinos Tsiptsis#Antonios Chorianopoulos
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Konstantinos Tsiptsis#Antonios Chorianopoulos:
Data Mining Techniques in CRM - new book

ISBN: 9781119965459

ID: 49253175

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 are looking for a practical guide on data mining. It focuses on Customer Segmentation and presents guidelines for the development of actionable segmentation schemes. By using non-technical language it guides readers through all the phases of the data mining process. Inside Customer Segmentation eBook eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Informatik, John Wiley & Sons Inc

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Data Mining Techniques in CRM - Konstantinos Tsiptsis#Antonios Chorianopoulos
book is out-of-stock
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Konstantinos Tsiptsis#Antonios Chorianopoulos:
Data Mining Techniques in CRM - new book

ISBN: 9781119965459

ID: 121860131

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 are looking for a practical guide on data mining. It focuses on Customer Segmentation and presents guidelines for the development of actionable segmentation schemes. By using non-technical language it guides readers through all the phases of the data mining process. Inside Customer Segmentation eBook eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Informatik, John Wiley & Sons

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