{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T11:48:40Z","timestamp":1777895320769,"version":"3.51.4"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Chinese Natural Science Foundation","award":["11631013"],"award-info":[{"award-number":["11631013"]}]},{"name":"Chinese Natural Science Foundation","award":["11971372"],"award-info":[{"award-number":["11971372"]}]},{"name":"Chinese Natural Science Foundation","award":["11801433"],"award-info":[{"award-number":["11801433"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2969293","type":"journal-article","created":{"date-parts":[[2020,1,24]],"date-time":"2020-01-24T22:03:18Z","timestamp":1579903398000},"page":"22672-22685","source":"Crossref","is-referenced-by-count":138,"title":["Integrated Long-Term Stock Selection Models Based on Feature Selection and Machine Learning Algorithms for China Stock Market"],"prefix":"10.1109","volume":"8","author":[{"given":"Xianghui","family":"Yuan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6509-988X","authenticated-orcid":false,"given":"Jin","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianzhao","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qurat Ul","family":"Ain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.21314\/JRMV.2015.142"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.01.057"},{"key":"ref31","first-page":"137","article-title":"Feature selection algorithm based on random forest","volume":"44","author":"yao","year":"2014","journal-title":"J Jilin Univ"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ITIME.2009.5236450"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.06.016"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2016.02.056"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/0304-405X(93)90023-5"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.07.040"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.03.002"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/72.788640"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2001.938434"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/S0305-0483(01)00026-3"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(03)00372-2"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2007.11.023"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.08.043"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.10.027"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.03.017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.02.038"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2005.06.024"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.jchromb.2012.05.020"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.05.013"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.12.035"},{"key":"ref7","first-page":"755","article-title":"Stock price forecasting by hybrid machine learning techniques","author":"tsai","year":"2009","journal-title":"Proc Int Multi-Conf Eng Comput Scientists"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.05.035"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.04.030"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2004.03.016"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/21.97458"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1021\/ci034160g"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/S0957-4174(02)00052-0"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.01.029"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2005.04.043"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-009-0618-0"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.05.044"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/08968561.pdf?arnumber=8968561","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:51:11Z","timestamp":1639770671000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8968561\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2969293","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}