In this paper, we propose a novel hybrid approach for rectifying the data imbalance problem
by employing k Reverse Nearest Neighborhood and One Class support vector machine …

Although large companies try to gain new customers, they also want to retain their old
customers. Therefore, customer churn analysis is important for identifying old customers …

The banking industries are struggling with massive growth in the Non-Performing Assets
(NPAs) that is raising the concerns of the financial institutions across the world. For gaining …

This paper proposes a new automatic approach based on machine learning strategies to
associate the microstructural conditions of Non-Grain Oriented (NGO) steels, during …

This paper presents advancement to modified active learning-based approach in an eclectic
framework for extracting if-then rules from support vector machine (SVM) for customer …

In solving unbalanced classification problems, machine learning algorithms are
overwhelmed by the majority class and consequently misclassify the minority class …

In the modern society, mobile communication became the leading medium of
communication. Now the public policies and standardization of mobile communication …

In this work, an eclectic procedure for rule extraction from Support Vector Machine is
proposed, where Tree is generated using Naïve Bayes Tree (NBTree) resulting in the SVM+ …

This study aimed to provide effective methods for the identification of surgeries with high
cancellation risk based on machine learning models and analyze the key factors that affect …

Despite superior generalization performance Support vector machines (SVMs) generate
black box models. The process of converting such opaque models into transparent model is …