Machine-Learning Techniques for Customer Retention: A Comparative Study
نویسندگان
چکیده
منابع مشابه
Machine-Learning Techniques for Customer Retention: A Comparative Study
Nowadays, customers have become more interested in the quality of service (QoS) that organizations can provide them. Services provided by different vendors are not highly distinguished which increases competition between organizations to maintain and increase their QoS. Customer Relationship Management systems are used to enable organizations to acquire new customers, establish a continuous rel...
متن کاملMachine Learning Classification Techniques: A Comparative Study
Machine learning is the study of computer algorithms that improve automatically with experience. In other words it is the ability of the computer program to acquire or develop new knowledge or skills from examples for optimising the performance of a computer or a mobile device. In this paper we apply machine learning techniques Bayes network, Logistic Regression, Decision Stump, J48, Random For...
متن کاملA comparative analysis of machine learning techniques for student retention management
a r t i c l e i n f o Student retention is an essential part of many enrollment management systems. It affects university rankings, school reputation, and financial wellbeing. Student retention has become one of the most important priorities for decision makers in higher education institutions. Improving student retention starts with a thorough understanding of the reasons behind the attrition....
متن کاملBankruptcy Prediction by Supervised Machine Learning Techniques : A Comparative Study
It is very important for financial institutions which are capable of accurately predicting business failure. In literature, numbers of bankruptcy prediction models have been developed based on statistical and machine learning techniques. In particular, many machine learning techniques, such as neural networks, decision trees, etc. have shown better prediction performances than statistical ones....
متن کاملA Survey on Customer Churn Prediction using Machine Learning Techniques
The fast expansion of the market in every sector is leading to superior subscriber base for service providers. Added competitors, novel and innovative business models and enhanced services are increasing the cost of customer acquisition. In such a fast set up, service providers have realized the importance of retaining the on-hand customers. It is therefore essential for the service providers t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2018
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2018.090238