[PDF.90ra] Developing Churn Models Using Data Mining Techniques and Social Network Analysis

Developing Churn Models Using Data Mining Techniques and Social Network Analysis

[PDF.wv28] Developing Churn Models Using Data Mining Techniques and Social Network Analysis

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 | #4677574 in Books |  Robert Kopal Leo Mrsic Goran Klepac |  2014-07-31 | Original language:English | PDF # 1 |  10.00 x.75 x7.01l, | File type: PDF | 308 pages

 | Developing Churn Models Using Data Mining Techniques and Social Network Analysis

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||About the Author||Goran Klepac, PhD, University College Professor works as a head of Strategic unit in Sector of credit risk in Raiffeisenbank Austria Inc, Croatia, Europe. In several universities in Croatia, he lectures subjects in domain of data mining,

Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and managing 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 it...

You easily download any file type for your device.Developing Churn Models Using Data Mining Techniques and Social Network Analysis   |  Goran Klepac. I was recommended this book by a dear friend of mine.

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