Customer Churn Prediction Using Machine learning technique
(Sprache: Englisch)
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 objective the study...
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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 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.
Autoren-Porträt von Sunita D. Patil, Smita R. Chavan, Yashwant S. Patil
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 Ph.D in Computer Management. Her research based articles are published in journals and conferences.
Bibliographische Angaben
- Autoren: Sunita D. Patil , Smita R. Chavan , Yashwant S. Patil
- 2019, 268 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6139443326
- ISBN-13: 9786139443321
Sprache:
Englisch
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