Data mining is the nontrivial process of extraction of interesting, implicit, potentially and previously unknown knowledge from large databases. There are many techniques used in data mining like: Statistical Analysis, Decision Tree, Neural Network, Clustering, Association Rule, Genetic Algorithms, Fuzzy Logic, and Rough Sets. Rough Set theory (RST), is a technique for dealing with uncertainty ...

In this work, we presented the strategies and techniques that we have developed for predicting the near-future churners and win-backs for a telecom company. On a large-scale and real-world database containing customer profiles and some transaction data from a telecom company, we first analyzed the data schema, developed feature computation strategies and then extracted a large set of relevant f...

This study investigates the customer churn in banking sector and explores application of machine learning models to predict rates. paper starts by providing a comprehensive definition or attrition. Furthermore, review prior studies conducted field rate detection prediction within is .It encompasses an examination diverse datasets employed, including their origins, sizes, sources, specific utili...