{"id":"https://openalex.org/W2969974905","doi":"https://doi.org/10.1109/tsmc.2019.2931731","title":"A Fast Semi-Supervised Clustering Framework for Large-Scale Time Series Data","display_name":"A Fast Semi-Supervised Clustering Framework for Large-Scale Time Series Data","publication_year":2019,"publication_date":"2019-08-22","ids":{"openalex":"https://openalex.org/W2969974905","doi":"https://doi.org/10.1109/tsmc.2019.2931731","mag":"2969974905"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2019.2931731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2019.2931731","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060931310","display_name":"Guoliang He","orcid":"https://orcid.org/0000-0002-9637-2006"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoliang He","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018691162","display_name":"Yanzhou Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanzhou Pan","raw_affiliation_strings":["Engineering Department, Rice University, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"Engineering Department, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006869135","display_name":"Xuewen Xia","orcid":"https://orcid.org/0000-0002-4938-1479"},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Zhangzhou Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuewen Xia","raw_affiliation_strings":["College of Physics and Information Engineering, Minnan Normal University, Zhangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, Minnan Normal University, Zhangzhou, China","institution_ids":["https://openalex.org/I9356336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044062811","display_name":"Jinrong He","orcid":"https://orcid.org/0000-0003-4040-4766"},"institutions":[{"id":"https://openalex.org/I4210102412","display_name":"Yan'an University","ror":"https://ror.org/01dyr7034","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210102412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinrong He","raw_affiliation_strings":["College of Mathematics and Computer Science, Yan\u2019an University, Yan\u2019an, China","College of Mathematics and Computer Science, Yan'an University, Yan'an, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Yan\u2019an University, Yan\u2019an, China","institution_ids":["https://openalex.org/I4210102412"]},{"raw_affiliation_string":"College of Mathematics and Computer Science, Yan'an University, Yan'an, China","institution_ids":["https://openalex.org/I4210102412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078083652","display_name":"Rong Peng","orcid":"https://orcid.org/0000-0003-2330-9409"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Peng","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103216531","display_name":"Naixue Xiong","orcid":"https://orcid.org/0000-0002-0394-4635"},"institutions":[{"id":"https://openalex.org/I192664086","display_name":"Northeastern State University","ror":"https://ror.org/01z7kzb45","country_code":"US","type":"education","lineage":["https://openalex.org/I192664086"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neal N. Xiong","raw_affiliation_strings":["Department of Mathematics and Computer Science, Northeastern State University, Tahlequah, OK, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Northeastern State University, Tahlequah, OK, USA","institution_ids":["https://openalex.org/I192664086"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060931310"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":2.1708,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.88467624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"51","issue":"7","first_page":"4201","last_page":"4216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9696000218391418,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8980668783187866},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.7163025140762329},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.7119687795639038},{"id":"https://openalex.org/keywords/constrained-clustering","display_name":"Constrained clustering","score":0.6921284794807434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6874312162399292},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.6764495968818665},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6322912573814392},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.5495896339416504},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5348386168479919},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5283238291740417},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.5037519335746765},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.4933103621006012},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3993997871875763},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3933720588684082}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8980668783187866},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.7163025140762329},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.7119687795639038},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.6921284794807434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6874312162399292},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.6764495968818665},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6322912573814392},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.5495896339416504},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5348386168479919},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5283238291740417},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.5037519335746765},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.4933103621006012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3993997871875763},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3933720588684082},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2019.2931731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2019.2931731","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2882245149","display_name":null,"funder_award_id":"61663009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W131856359","https://openalex.org/W1597504361","https://openalex.org/W1673310716","https://openalex.org/W1864972570","https://openalex.org/W1965450189","https://openalex.org/W1978522669","https://openalex.org/W1990702478","https://openalex.org/W1993332189","https://openalex.org/W2008348094","https://openalex.org/W2018546346","https://openalex.org/W2024300411","https://openalex.org/W2076287166","https://openalex.org/W2078559879","https://openalex.org/W2106852142","https://openalex.org/W2118529802","https://openalex.org/W2121757144","https://openalex.org/W2133184712","https://openalex.org/W2135076825","https://openalex.org/W2144994235","https://openalex.org/W2181151470","https://openalex.org/W2182647267","https://openalex.org/W2236871065","https://openalex.org/W2241293425","https://openalex.org/W2255274805","https://openalex.org/W2262682506","https://openalex.org/W2339987761","https://openalex.org/W2343958847","https://openalex.org/W2380172038","https://openalex.org/W2397306716","https://openalex.org/W2402972623","https://openalex.org/W2403744328","https://openalex.org/W2443016948","https://openalex.org/W2504972167","https://openalex.org/W2532464425","https://openalex.org/W2532798634","https://openalex.org/W2557865240","https://openalex.org/W2589687180","https://openalex.org/W2604723872","https://openalex.org/W2605427894","https://openalex.org/W2614378762","https://openalex.org/W2622816133","https://openalex.org/W2730647291","https://openalex.org/W2746272230","https://openalex.org/W2762718731","https://openalex.org/W2767485955","https://openalex.org/W2771031721","https://openalex.org/W2784381726","https://openalex.org/W2788630562","https://openalex.org/W2789712634","https://openalex.org/W2798080959","https://openalex.org/W2807737462","https://openalex.org/W2963652829","https://openalex.org/W4241186228","https://openalex.org/W4244343699","https://openalex.org/W4300903698","https://openalex.org/W6637131181","https://openalex.org/W6639107604","https://openalex.org/W6703313979","https://openalex.org/W6735994599","https://openalex.org/W6750996577","https://openalex.org/W6751395999"],"related_works":["https://openalex.org/W2160785859","https://openalex.org/W2188840951","https://openalex.org/W3140018618","https://openalex.org/W2590117803","https://openalex.org/W2393707058","https://openalex.org/W2389934482","https://openalex.org/W3124860551","https://openalex.org/W3168768270","https://openalex.org/W3186815950","https://openalex.org/W2202413591"],"abstract_inverted_index":{"Semi-supervised":[0],"clustering":[1,29,56,92,110,116,128,150,172],"algorithms":[2,151],"have":[3,31],"several":[4],"limitations:":[5],"1)":[6],"the":[7,17,45,47,55,66,113,144],"computation":[8],"complexity":[9],"of":[10,20,22,39,49],"them":[11],"is":[12,24,58,167],"very":[13,59],"high,":[14],"because":[15],"calculating":[16],"similarity":[18,135],"distances":[19],"pairs":[21],"examples":[23],"time-consuming;":[25],"2)":[26],"traditional":[27],"semi-supervised":[28,91,125,149],"methods":[30,71],"not":[32,73],"considered":[33],"how":[34],"to":[35,54,75,86,111],"make":[36],"full":[37],"use":[38],"must-link":[40],"and":[41,61,68,137,154,169],"cannot-link":[42],"constraints.":[43],"In":[44],"clustering,":[46],"contribution":[48],"a":[50,119,124,133,138],"few":[51,88],"pairwise":[52],"constraints":[53],"performance":[57],"limited,":[60],"some":[62],"may":[63],"negatively":[64],"affect":[65],"outcome;":[67],"3)":[69],"these":[70],"are":[72,156],"effective":[74,170],"handle":[76],"high":[77],"dimensional":[78],"data,":[79,103],"especially":[80],"for":[81,171],"time":[82,94,101,108,126,174],"series":[83,95,102,109,127,175],"data.":[84,96,176],"Up":[85],"now,":[87],"work":[89],"touched":[90],"on":[93,143,159],"To":[97],"efficiently":[98],"cluster":[99],"large-scale":[100,173],"we":[104],"first":[105],"tackle":[106],"contract":[107],"produce":[112],"most":[114],"accurate":[115],"results":[117],"under":[118],"contracted":[120],"time.":[121],"We":[122],"propose":[123],"framework":[129],"(STSC),":[130],"which":[131],"integrates":[132],"fast":[134],"measure":[136],"constraint":[139],"propagation":[140],"approach.":[141],"Based":[142],"proposed":[145,165],"framework,":[146],"two":[147],"valid":[148],"including":[152],"fssK-means":[153],"fssDBSCAN":[155],"designed.":[157],"Experiments":[158],"11":[160],"datasets":[161],"show":[162],"that":[163],"our":[164],"method":[166],"efficient":[168]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}