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

  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

Data mining
Data mining and diagnosis of heart diseases: a hybrid approach to the b-mine algorithm and association rules

Shookoofa Mostofi; Sohrab Kordrostami; Amir Hossein Refahi; Marzieh Faridi Masooleh; Soheil Shokri

Volume 11, Issue 1 , March 2022, , Pages 77-91

  Existing systems for diagnosing heart disease are time consuming, expensive, and prone to error. In this regard, a diagnostic algorithm has been proposed for the causes of heart disease based on a frequent pattern with the B-mine algorithm optimized by association rules. Initially, a data set of disease ...  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

  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

Customer Profitability Segmentation for SMEs Case Study: Network Equipment Company

A. Mesforoush; M.J. Tarokh

Volume 2, Issue 1 , February 2013, , Pages 30-44

  It is important to segment the most profitable customers of a company. Many CRM researchers have been performed to calculate customer profitability and develop a comprehensive model of it. This paper with the aid of data mining tools tries to customer segmentation based on kind of RFM. Customers are ...  Read More