{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T13:41:13Z","timestamp":1777383673964,"version":"3.51.4"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,7]],"date-time":"2020-12-07T00:00:00Z","timestamp":1607299200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,7]],"date-time":"2020-12-07T00:00:00Z","timestamp":1607299200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,7]],"date-time":"2020-12-07T00:00:00Z","timestamp":1607299200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,7]]},"DOI":"10.1109\/asonam49781.2020.9381482","type":"proceedings-article","created":{"date-parts":[[2021,3,24]],"date-time":"2021-03-24T20:17:37Z","timestamp":1616617057000},"page":"734-741","source":"Crossref","is-referenced-by-count":5,"title":["Hybrid Features for Churn Prediction in Mobile Telecom Networks with Data Constraints"],"prefix":"10.1109","author":[{"given":"Naimisha","family":"Kolli","sequence":"first","affiliation":[]},{"given":"N.","family":"Balakrishnan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/S0957-4174(02)00030-1"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1504\/IJDATS.2008.020020"},{"key":"ref12","article-title":"Deep Learning in Customer Churn Prediction: Unsupervised Feature Learning on Abstract Company Independent Feature Vectors","volume":"abs 1703 3869","author":"spanoudes","year":"2017","journal-title":"CoRR"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/1183614.1183678"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/1352431.1352512"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972801.64"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/bltj.21575"},{"key":"ref17","article-title":"Combining customer attribute and social network mining for prepaid mobile churn prediction","author":"kusuma","year":"0","journal-title":"Proc the 23rd Annual Belgian Dutch Conference on Machine Learning (BENELEARN)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.05.014"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2005.11.007"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1013203451"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1023\/A:1006643109702"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11416-015-0250-2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2011.09.031"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.11.083"},{"key":"ref5","first-page":"235","article-title":"Churn prediction model in retail banking using fuzzy C-means algorithm","volume":"33","author":"popovic","year":"2009","journal-title":"Informatica"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2006.09.038"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.05.027"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1108\/08876040110381463","article-title":"The impact of switching costs on the customer satisfaction-loyalty link: Mobile phone service in France","volume":"15","author":"jonathan","year":"2001","journal-title":"Journal of Services Marketing"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.01.203"},{"key":"ref1","first-page":"552","volume":"30","author":"ahn","year":"2006","journal-title":"Customer churn analysis Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry Telecommunications Policy"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.08.023"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.05.028"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.5539\/ibr.v8n6p224"},{"key":"ref24","year":"0","journal-title":"GraphlabCreate resources"},{"key":"ref23","year":"0","journal-title":"Ipython API Documentation"},{"key":"ref26","volume":"abs 1608 163","author":"fortunato","year":"2016","journal-title":"Community detection in networks A user guide"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/2008\/10\/P10008"}],"event":{"name":"2020 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","location":"The Hague, Netherlands","start":{"date-parts":[[2020,12,7]]},"end":{"date-parts":[[2020,12,10]]}},"container-title":["2020 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9381192\/9381291\/09381482.pdf?arnumber=9381482","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T15:48:09Z","timestamp":1656344889000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9381482\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,7]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/asonam49781.2020.9381482","relation":{},"subject":[],"published":{"date-parts":[[2020,12,7]]}}}