9786139443321 - customer churn prediction using machine learning technique di patil, dr. sunita d.; chavan, dr. smita r.; patil, dr.yashwant s. (6 risultati)
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Customer Churn Prediction Using Machine learning technique | Sunita D. Patil (u. a.) | Taschenbuch | 268 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139443321 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]…de | Anbieter: preigu.
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A predictive model which predicts the future churners seems to be vital. Author identifies different predictive models to recognize the customers which tend to churn in close future of insurance companies. With customer churn as ma…in objective the study would thereby allow information gathering that can be used to take actions to avoid the customer desertion. In this book conceptual variables will be used to compare behavioral and environmental factors of customer history and to analyze the transaction record and behavior pattern to know the possibility of customer attrition to facilitate insurance companies to apply different recovery actions to customer's base on their churn tendency and contribution to the company. Author develop predictive model for Life Insurance to Predict of customer behavior, customer value, customer satisfaction and customer loyalty in Insurance Sector. 268 pp. Englisch.
Customer Churn Prediction Using Machine learning technique
Dr. Sunita D. Patil|Dr. Smita R. Chavan|Dr.Yashwant S. Patil
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patil Dr. Sunita D.Dr. Sunita D. Patil is a faculty in the field of Management and Computer science. She has gained a rich experience in academics.She is B.Sc (Computer sci), MCM, MCA, MPhil (IT) and P…h.D in Computer Management. Her .
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A predictive model which predicts the future churners seems to be vital. Author identifies different predictive models to recognize the customers which tend to churn in close future of insurance companies. With customer churn as main o…bjective the study would thereby allow information gathering that can be used to take actions to avoid the customer desertion. In this book conceptual variables will be used to compare behavioral and environmental factors of customer history and to analyze the transaction record and behavior pattern to know the possibility of customer attrition to facilitate insurance companies to apply different recovery actions to customer's base on their churn tendency and contribution to the company. Author develop predictive model for Life Insurance to Predict of customer behavior, customer value, customer satisfaction and customer loyalty in Insurance Sector.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 268 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A predictive model which predicts the future churners seems to be vital. Author identifies different predictive models to recognize the customers which tend to churn in close future of insurance companies. With customer churn as main ob…jective the study would thereby allow information gathering that can be used to take actions to avoid the customer desertion. In this book conceptual variables will be used to compare behavioral and environmental factors of customer history and to analyze the transaction record and behavior pattern to know the possibility of customer attrition to facilitate insurance companies to apply different recovery actions to customer's base on their churn tendency and contribution to the company. Author develop predictive model for Life Insurance to Predict of customer behavior, customer value, customer satisfaction and customer loyalty in Insurance Sector.
