{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T15:25:03Z","timestamp":1774365903237,"version":"3.50.1"},"reference-count":17,"publisher":"Tech Science Press","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.32604\/iasc.2023.030628","type":"journal-article","created":{"date-parts":[[2022,8,18]],"date-time":"2022-08-18T06:02:31Z","timestamp":1660802551000},"page":"3531-3544","source":"Crossref","is-referenced-by-count":9,"title":["Arithmetic Optimization with Deep Learning Enabled Churn Prediction Model for Telecommunication Industries"],"prefix":"10.32604","volume":"35","author":[{"given":"Vani","family":"Haridasan","sequence":"first","affiliation":[]},{"given":"Kavitha","family":"Muthukumaran","sequence":"additional","affiliation":[]},{"given":"K.","family":"Hariharanath","sequence":"additional","affiliation":[]}],"member":"17807","reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40537-019-0191-6","article-title":"Customer churn prediction in telecom using machine learning in big data platform","volume":"6","author":"Ahmad","year":"2019","journal-title":"Journal of Big Data"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1016\/j.ejor.2018.02.009","article-title":"A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees","volume":"269","author":"De Caigny","year":"2018","journal-title":"European Journal of Operational Research"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.jbusres.2018.03.003","article-title":"Customer churn prediction in telecommunication industry using data certainty","volume":"94","author":"Amin","year":"2019","journal-title":"Journal of Business Research"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"538","DOI":"10.1016\/j.ijinfomgt.2018.12.001","article-title":"Financial crisis prediction model using ant colony optimization","volume":"50","author":"Uthayakumar","year":"2020","journal-title":"International Journal of Information Management"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1016\/j.ijinfomgt.2018.10.005","article-title":"A big data analytics model for customer churn prediction in the retiree segment","volume":"48","author":"Shirazi","year":"2019","journal-title":"International Journal of Information Management"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"1563","DOI":"10.1016\/j.ijforecast.2019.03.029","article-title":"Incorporating textual information in customer churn prediction models based on a convolutional neural network","volume":"36","author":"De Caigny","year":"2020","journal-title":"International Journal of Forecasting"},{"key":"ref7","first-page":"1","article-title":"Customer churn prediction system: A machine learning approach","volume":"104","author":"Lalwani","year":"2021","journal-title":"Computing"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.swevo.2017.10.010","article-title":"Profit maximizing logistic model for customer churn prediction using genetic algorithms","volume":"40","author":"Stripling","year":"2018","journal-title":"Swarm and Evolutionary Computation"},{"key":"ref9","series-title":"2021 Third Int. Conf. on Inventive Research in Computing Applications (ICIRCA)","first-page":"895","article-title":"Effective ML techniques to predict customer churn","author":"De","year":"2021"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"1332","DOI":"10.1016\/j.procs.2022.01.169","article-title":"Customer churn prediction in influencer commerce: An application of decision trees","volume":"199","author":"Kim","year":"2022","journal-title":"Procedia Computer Science"},{"key":"ref11","first-page":"1","article-title":"A prediction model of customer churn considering customer value: An empirical research of telecom industry in China","volume":"2021","author":"Zhao","year":"2021","journal-title":"Discrete Dynamics in Nature and Society"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2022\/9028580","article-title":"Clairvoyant: AdaBoost with cost-enabled cost-sensitive classifier for customer churn prediction","volume":"2022","author":"Thakkar","year":"2022","journal-title":"Computational Intelligence and Neuroscience"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"94","DOI":"10.3390\/fi14030094","article-title":"A data-driven approach to improve customer churn prediction based on telecom customer segmentation","volume":"14","author":"Zhang","year":"2022","journal-title":"Future Internet"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"1772","DOI":"10.3390\/sym13101772","article-title":"Semantic features with contextual knowledge-based web page categorization using the GloVe model and stacked BiLSTM","volume":"13","author":"Nandanwar","year":"2021","journal-title":"Symmetry"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.artmed.2018.11.004","article-title":"Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification","volume":"97","author":"Banerjee","year":"2019","journal-title":"Artificial Intelligence in Medicine"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"113609","DOI":"10.1016\/j.cma.2020.113609","article-title":"The arithmetic optimization algorithm","volume":"376","author":"Abualigah","year":"2021","journal-title":"Computer Methods in Applied Mechanics and Engineering"},{"key":"ref17","first-page":"1","article-title":"Multi-objective rain optimization algorithm with WELM model for customer churn prediction in telecommunication sector","author":"Pustokhina","year":"2021","journal-title":"Complex & Intelligent Systems"}],"container-title":["Intelligent Automation &amp; Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.techscience.com\/ueditor\/files\/iasc\/TSP_IASC-35-3\/TSP_IASC_30628\/TSP_IASC_30628.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T21:30:51Z","timestamp":1733520651000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/iasc\/v35n3\/49405"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":17,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2023]]}},"URL":"https:\/\/doi.org\/10.32604\/iasc.2023.030628","relation":{},"ISSN":["1079-8587"],"issn-type":[{"value":"1079-8587","type":"print"}],"subject":[],"published":{"date-parts":[[2023]]}}}