{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T16:36:48Z","timestamp":1768667808787,"version":"3.49.0"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1624668"],"award-info":[{"award-number":["1624668"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1921485"],"award-info":[{"award-number":["1921485"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2413009"],"award-info":[{"award-number":["2413009"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"WISPER Center"},{"name":"2025 Technology and Research Initiative Fund\/National Security Systems Initiative administered by the University of Arizona"},{"name":"Office of Research and Partnerships"},{"name":"Proposition 301"},{"name":"Arizona Sales Tax for Education Act"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1109\/tbdata.2025.3603433","type":"journal-article","created":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T18:10:46Z","timestamp":1756404646000},"page":"119-134","source":"Crossref","is-referenced-by-count":1,"title":["SDEC: Semantic Deep Embedded Clustering"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5009-221X","authenticated-orcid":false,"given":"Mohammad Wali Ur","family":"Rahman","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4097-9733","authenticated-orcid":false,"given":"Ric","family":"Nevarez","sequence":"additional","affiliation":[{"name":"Trustweb, New York, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7542-1453","authenticated-orcid":false,"given":"Lamia Tasnim","family":"Mim","sequence":"additional","affiliation":[{"name":"Department of Computer Science, New Mexico State University, Las Cruces, NM, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3956-3401","authenticated-orcid":false,"given":"Salim","family":"Hariri","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/app12030976"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32381-3_16"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/AICCSA56895.2022.10017489"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-65794-8_16"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA58977.2023.00104"},{"key":"ref7","first-page":"1","volume-title":"Proc. 22nd Int. Semantic Web Conf.","author":"Rajpal"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-0010-4_5"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-37334-4_34"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0006133"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1515\/9781400874668"},{"key":"ref12","article-title":"Efficient estimation of word representations in vector space","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Mikolov"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/0306-4573(88)90021-0"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1310.4546"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1982.1056489"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1002\/widm.53"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.5555\/3001460.3001507"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37456-2_14"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-77961-0_27"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.5555\/2980539.2980649"},{"key":"ref22","first-page":"4","article-title":"Density-based text clustering using document embeddings","volume-title":"Proc. 36th IBIMA Conf.","author":"Radulescu"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/AQTR49680.2020.9129967"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.physrep.2016.09.002"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/2008\/10\/P10008"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCP51029.2020.9266267"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3417232"},{"key":"ref28","first-page":"478","article-title":"Unsupervised deep embedding for clustering analysis","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Xie"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2017.612"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.05.019"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/243"},{"key":"ref32","article-title":"Auto-encoding variational bayes","author":"Kingma","year":"2013"},{"key":"ref33","article-title":"Deep unsupervised clustering with Gaussian mixture variational autoencoders","author":"Dilokthanakul","year":"2016"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014610"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3232372"},{"key":"ref37","first-page":"993","article-title":"Latent dirichlet allocation","volume":"3","author":"Blei","year":"2003","journal-title":"J. Mach. Learn. Res."},{"key":"ref38","first-page":"535","article-title":"Algorithms for non-negative matrix factorization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lee"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCP51029.2020.9266181"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCP48234.2019.8959677"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/taffc.2024.3434355"},{"key":"ref42","first-page":"588","article-title":"A deep learning architecture for audience interest prediction of news topic on social media","volume-title":"Proc. Int. Conf. Extending Database Technol.","author":"Truic\u0103"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/SYNASC.2016.055"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/SYNASC.2017.00041"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3390\/math9212722"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00051"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-022-00564-9"},{"key":"ref49","first-page":"972","article-title":"Self-normalizing neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Klambauer"},{"issue":"11","key":"ref50","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref51","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/0377-0427(87)90125-7"},{"key":"ref53","first-page":"649","article-title":"Character-level convolutional networks for text classification","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhang"},{"key":"ref54","article-title":"Yahoo! Answers dataset for text classification","year":"2008"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-76298-0_52"},{"key":"ref56","article-title":"Reuters-21578 text categorization collection","year":"1987"},{"key":"ref57","first-page":"583","article-title":"Cluster ensembles - A knowledge reuse framework for combining multiple partitions","volume":"3","author":"Strehl","year":"2002","journal-title":"J. Mach. Learn. Res."},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3028943"},{"key":"ref59","article-title":"Text classification and clustering with annealing soft nearest neighbor loss","author":"Agarap","year":"2021"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1063\/1.4991244"},{"key":"ref61","article-title":"The hardness of K-means clustering","author":"Dasgupta","year":"2008"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.05.008"},{"key":"ref63","first-page":"69","article-title":"Classification of an imbalanced data set using decision tree algorithms","volume":"79","author":"Truica","year":"2017","journal-title":"Univ. Politech. Bucharest Sci. Bull. Ser. C Elect. Eng. Comput. Sci"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6687317\/11357241\/11142675-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6687317\/11357241\/11142675.pdf?arnumber=11142675","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T05:18:34Z","timestamp":1768627114000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11142675\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":63,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2025.3603433","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2]]}}}