Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Application of Machine Learning in Customer Churn Prediction Subject The topic of the resource Customer churn; Customer relationship management; Data mining; Machine learning Description An account of the resource Retaining customers is the central component of a company's growth strategy. It is evident that several industries are experiencing a surge in customer churn due to the global pandemic. As a result, customer retention that lies at the core of customer relationship management, has become the foundation for every industry to plan for future growth. By reducing customer churn, a company can maximize its profit. Studies suggest that significant advancements are made in the field of customer churn prediction in domains like telecom, banking, e-commerce and energy sector. The focus of the paper is to present a detailed review of the various machine learning techniques applied to address churn. Fifty-five papers related to churn classification published between 2004 and 2020 are collected and analyzed. The reviewed papers are categorized into five main themes. These themes are feature selection techniques, methods to handle class imbalance, experimentation with machine learning algorithms, hybrid models and ensemble models respectively. Finally, few suggestions are presented as direction for future research. 2021 IEEE. Creator An entity primarily responsible for making the resource De S.; Prabu P.; Paulose J. Source A related resource from which the described resource is derived 3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies, i-PACT 2021 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/i-PACT52855.2021.9696771" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/i-PACT52855.2021.9696771</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126457996&amp;doi=10.1109%2Fi-PACT52855.2021.9696771&amp;partnerID=40&amp;md5=a1b6f3a63a4bb0c1de1189f7fcf5e7cd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126457996&amp;doi=10.1109%2fi-PACT52855.2021.9696771&amp;partnerID=40&amp;md5=a1b6f3a63a4bb0c1de1189f7fcf5e7cd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166542691-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant De S., CHRIST (Deemed to Be University), Department of Computer Science, Bangalore, India; Prabu P., CHRIST (Deemed to Be University), Department of Computer Science, Bangalore, India; Paulose J., CHRIST (Deemed to Be University), Department of Computer Science, Bangalore, India