Data mining
PyIT-MLFS: a Python-based information theoretical multi-label feature selection library

Sadegh Eskandari

Volume 11, Issue 1 , March 2022, , Pages 9-15

http://dx.doi.org/10.22105/riej.2022.308916.1252

Abstract
  Multi-label learning is an emerging research direction that deals with data in which an instance may belong to multiple class labels simultaneously. As many multi-label data contain very large feature space with hundreds of irrelevant andredundant features, multi-label feature selection is a fundamental ...  Read More

A Novel Genetic Algorithm Based Method for Building Accurate and Comprehensible Churn Prediction Models

H. Abbasimehr; S. Alizadeh

Volume 2, Issue 4 , December 2013, , Pages 1-14

Abstract
  Customer churn has become a critical problem for all companies in particular for those that are operating in service-based industries such as telecommunication industry. Data mining techniques have been used for constructing churn prediction models. Past research in churn prediction context have mainly ...  Read More