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Books > Computing & IT > Applications of computing > Databases > Data mining

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Developing Churn Models Using Data Mining Techniques and Social Network Analysis (Hardcover) Loot Price: R5,098
Discovery Miles 50 980
Developing Churn Models Using Data Mining Techniques and Social Network Analysis (Hardcover): Goran Klepac, Robert Kopal, Leo...

Developing Churn Models Using Data Mining Techniques and Social Network Analysis (Hardcover)

Goran Klepac, Robert Kopal, Leo Mri?1/2i

Series: Research Essentials Collection

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Loot Price R5,098 Discovery Miles 50 980 | Repayment Terms: R478 pm x 12*

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Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and manageing risk, further research in this field can greatly assist companies in making informed decisions based on future possible scenarios. Developing Churn Models Using Data Mining Techniques and Social Network Analysis provides an in-depth analysis of attrition modeling relevant to business planning and management. Through its insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytics tools, this publication is especially relevant to managers, data specialists, business analysts, academicians, and upper-level students.

General

Imprint: Idea Group,U.S.
Country of origin: United States
Series: Research Essentials Collection
Release date: July 2014
Authors: Goran Klepac • Robert Kopal • Leo Mri?1/2i
Dimensions: 229 x 152 x 27mm (L x W x T)
Format: Hardcover
Pages: 361
ISBN-13: 978-1-4666-6288-9
Categories: Books > Computing & IT > Applications of computing > Databases > Data mining
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LSN: 1-4666-6288-3
Barcode: 9781466662889

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