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 A Neural Network Based Customer Churn Prediction Algorithm for Telecom Sector Subject The topic of the resource Activation functions; Artificial neural networks; Churn prediction; ELU and SELU; ReLU; Tanh; Telecom sector Description An account of the resource For telecommunication service providers, a key method for decreasing costs and making revenue is to focus on retaining existing subscribers rather than obtaining new customers. To support this strategy, it is significant to understand customer concerns as early as possible to avoid churn. When customers switch to another competitive service provider, it results in the instant loss of business. This work focuses on building a classification model for predicting customer churn. Four different deep learning models are designed by applying different activation functions on different layers for classifying the customers into two different categories. A comparison of the performance of the different models is done by using various performance measures such as accuracy, precision, recall, and area under the curve (AUC) to determine the best activation function for the model among tanh, ReLU, ELU, and SELU. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Achari K.M.T.; Binu S.; Thomas K.T. Source A related resource from which the described resource is derived Smart Innovation, Systems and Technologies, Vol-251, pp. 215-227. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-3945-6_22" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-3945-6_22</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123300886&amp;doi=10.1007%2F978-981-16-3945-6_22&amp;partnerID=40&amp;md5=9f71d4a72684b1bc6221d578815c196c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123300886&amp;doi=10.1007%2f978-981-16-3945-6_22&amp;partnerID=40&amp;md5=9f71d4a72684b1bc6221d578815c196c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21903018; ISBN: 978-981163944-9 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 Achari K.M.T., Christ (Deemed to be University), Lavasa, India; Binu S., Christ (Deemed to be University), Lavasa, India; Thomas K.T., Christ (Deemed to be University), Lavasa, India