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 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.
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Goran Klepac, Raiffeisenbank Austria Zagreb, Croatia.
Robert Kopal University College for Law and Finance Effectus Zagreb, Croatia and University College for Applied Computer Engineering Algebra Zagreb, Croatia.
Leo Mršić University College for Law and Finance Effectus Zagreb, Croatia and University College for Applied Computer Engineering Algebra Zagreb, Croatia.
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 possibl. Nº de ref. del artículo: 4201937
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Buch. Condición: Neu. Developing Churn Models Using Data Mining Techniques and Social Network Analysis | Goran Klepac (u. a.) | Buch | Gebunden | Englisch | 2014 | Information Science Reference | EAN 9781466662889 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 105114676
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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 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. Nº de ref. del artículo: 9781466662889
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