[PDF.05ln] Developing Churn Models Using Data Mining Techniques and Social Network Analysis

Developing Churn Models Using Data Mining Techniques and Social Network Analysis

[PDF.pr64] Developing Churn Models Using Data Mining Techniques and Social Network Analysis

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 | #4638097 in Books |  2014-07-31 | Original language:English | PDF # 1 |  10.00 x.75 x7.01l, | File type: PDF | 308 pages

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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 can specify the type of files you want, for your gadget.Developing Churn Models Using Data Mining Techniques and Social Network Analysis   |  Goran Klepac. Just read it with an open mind because none of us really know.

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