{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T04:59:39Z","timestamp":1790744379216,"version":"4.1.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T00:00:00Z","timestamp":1671753600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,12,23]]},"DOI":"10.1145\/3579654.3579666","type":"proceedings-article","created":{"date-parts":[[2023,3,14]],"date-time":"2023-03-14T16:09:40Z","timestamp":1678810180000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Customer Churn Combination Prediction Model Based on Convolutional Neural Network and Gradient Boosting Decision Tree"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2023-0949","authenticated-orcid":false,"given":"Shiyang","family":"Li","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Guangxi Normal University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8191-4490","authenticated-orcid":false,"given":"Guoen","family":"Xia","sequence":"additional","affiliation":[{"name":"Guangxi Big Data Analysis of Taxation Research Center of Engineering, Guangxi University of Finance and Economics, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3359-117X","authenticated-orcid":false,"given":"Xianquan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Guangxi Normal University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,3,14]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijresmar.2016.06.001"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1177\/0092070300283006"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-016-0995-z"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1080\/13645579.2020.1729974"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.04.015"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2021.1886937"},{"key":"e_1_3_2_1_7_1","volume-title":"School of Mathematics and Statistics","author":"Dun Wang","unstructured":"Dun Wang. 2019. Feature Selection on Customer Churn Model in Broker. MA Thesis, School of Mathematics and Statistics, Wuhan University."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2018.11.072"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2914999"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-020-01961-9"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.01.203"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-190677"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00607-021-00908-y"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.3390\/app11114742"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.10.013"},{"key":"e_1_3_2_1_16_1","unstructured":"Telecom_customer churn dataset. Available: https:\/\/www.kaggle.com\/datasets\/abhinav89\/telecom-customer"},{"key":"e_1_3_2_1_17_1","unstructured":"WA_Fn-UseC_-Telco-Customer-Churn dataset. Available: https:\/\/www.kaggle.com\/blastchar\/telco-customer-churn"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.02.023"}],"event":{"name":"ACAI 2022: 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence","location":"Sanya China","acronym":"ACAI 2022"},"container-title":["Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3579654.3579666","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3579654.3579666","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T06:59:29Z","timestamp":1755845969000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3579654.3579666"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,23]]},"references-count":18,"alternative-id":["10.1145\/3579654.3579666","10.1145\/3579654"],"URL":"https:\/\/doi.org\/10.1145\/3579654.3579666","relation":{},"subject":[],"published":{"date-parts":[[2022,12,23]]},"assertion":[{"value":"2023-03-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}