{"id":"https://openalex.org/W4392693539","doi":"https://doi.org/10.1109/tfuzz.2024.3369716","title":"TWStream: Three-Way Stream Clustering","display_name":"TWStream: Three-Way Stream Clustering","publication_year":2024,"publication_date":"2024-03-12","ids":{"openalex":"https://openalex.org/W4392693539","doi":"https://doi.org/10.1109/tfuzz.2024.3369716"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2024.3369716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2024.3369716","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy 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/A5103262407","display_name":"Jiarui Sun","orcid":"https://orcid.org/0009-0004-0604-4677"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiarui Sun","raw_affiliation_strings":["School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-0604-4677","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006708610","display_name":"Mingjing Du","orcid":"https://orcid.org/0000-0002-7701-9004"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjing Du","raw_affiliation_strings":["School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7701-9004","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094124748","display_name":"Zhenkang Lew","orcid":"https://orcid.org/0009-0000-6008-5227"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenkang Lew","raw_affiliation_strings":["School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-6008-5227","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035411921","display_name":"Yongquan Dong","orcid":"https://orcid.org/0000-0001-8460-7034"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongquan Dong","raw_affiliation_strings":["School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8460-7034","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, China","institution_ids":["https://openalex.org/I118574674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118574674"],"apc_list":null,"apc_paid":null,"fwci":5.5569,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.96291072,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"32","issue":"9","first_page":"4927","last_page":"4939"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8367944955825806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6585056185722351},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.5975682139396667},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5130726099014282},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47596901655197144},{"id":"https://openalex.org/keywords/reachability","display_name":"Reachability","score":0.45136311650276184},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.44250568747520447},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.4199269413948059},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39672648906707764},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.38324517011642456},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2561325430870056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22358855605125427}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8367944955825806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6585056185722351},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.5975682139396667},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5130726099014282},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47596901655197144},{"id":"https://openalex.org/C136643341","wikidata":"https://www.wikidata.org/wiki/Q1361526","display_name":"Reachability","level":2,"score":0.45136311650276184},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.44250568747520447},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.4199269413948059},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39672648906707764},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.38324517011642456},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2561325430870056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22358855605125427},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2024.3369716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2024.3369716","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1286281524","display_name":null,"funder_award_id":"62006104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8172121739","display_name":"\u9762\u5411Deep Web\u7684\u6570\u636e\u6574\u5408\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61872168","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":47,"referenced_works":["https://openalex.org/W1877823","https://openalex.org/W151377110","https://openalex.org/W182707955","https://openalex.org/W1041128124","https://openalex.org/W1651093245","https://openalex.org/W1987799824","https://openalex.org/W2008572210","https://openalex.org/W2055902670","https://openalex.org/W2067145099","https://openalex.org/W2075721911","https://openalex.org/W2092335550","https://openalex.org/W2112482089","https://openalex.org/W2157305458","https://openalex.org/W2165835468","https://openalex.org/W2169581671","https://openalex.org/W2170936641","https://openalex.org/W2259448304","https://openalex.org/W2295100167","https://openalex.org/W2343620495","https://openalex.org/W2395123632","https://openalex.org/W2404779194","https://openalex.org/W2559950244","https://openalex.org/W2577114821","https://openalex.org/W2763519809","https://openalex.org/W2792234535","https://openalex.org/W2801314826","https://openalex.org/W2967181455","https://openalex.org/W3020253148","https://openalex.org/W3082753413","https://openalex.org/W3093243507","https://openalex.org/W3136737181","https://openalex.org/W3189403855","https://openalex.org/W4223629306","https://openalex.org/W4229014088","https://openalex.org/W4231029117","https://openalex.org/W4235169531","https://openalex.org/W4285809405","https://openalex.org/W4294099843","https://openalex.org/W4295996379","https://openalex.org/W4297964641","https://openalex.org/W4311775163","https://openalex.org/W4384438355","https://openalex.org/W4385462600","https://openalex.org/W4386453753","https://openalex.org/W4386826606","https://openalex.org/W6634297831","https://openalex.org/W6637231022"],"related_works":["https://openalex.org/W2491448268","https://openalex.org/W2559422900","https://openalex.org/W2892323093","https://openalex.org/W3144143113","https://openalex.org/W2394193399","https://openalex.org/W2181939267","https://openalex.org/W2390610678","https://openalex.org/W3071522575","https://openalex.org/W2363054820","https://openalex.org/W2160785859"],"abstract_inverted_index":{"A":[0],"bunch":[1],"of":[2,37,105,121,133,141,151,173,215],"stream":[3,66,178],"clustering":[4,67,81,160,171,183],"algorithms":[5],"have":[6],"been":[7],"proposed":[8,191,217],"recently":[9],"to":[10,45,101,124,164],"mine":[11],"data":[12,55,65,143,200],"streams":[13],"generated":[14],"at":[15,222],"high":[16],"speeds":[17],"from":[18],"hardware":[19],"platforms":[20],"and":[21,34,129,139,185],"software":[22],"applications.":[23],"Density-based":[24],"methods":[25],"are":[26],"widely":[27],"used":[28],"because":[29],"they":[30],"can":[31,219],"handle":[32],"outliers":[33],"capture":[35],"clusters":[36,49,175],"arbitrary":[38],"shapes.":[39],"However,":[40],"it":[41],"is":[42,78,98,162,193],"still":[43],"hard":[44],"effectively":[46],"identify":[47],"multi-density":[48],"with":[50,195],"ambiguous":[51],"boundaries":[52,127],"in":[53,176],"a":[54,64,79,157,177,180,186],"stream.":[56],"To":[57],"address":[58],"these":[59],"limitations,":[60],"this":[61],"paper":[62],"introduces":[63,118],"algorithm":[68,82,192],"called":[69],"TWStream,":[70],"based":[71,83],"on":[72,84,198],"the":[73,87,103,106,114,119,137,142,148,152,154,170,216],"three-way":[74,159,187],"decision":[75],"theory.":[76],"It":[77,135,168],"two-stage":[80],"density.":[85],"In":[86,113],"online":[88],"stage,":[89,116],"an":[90],"augmented":[91],"<inline-formula":[92,107],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[93,108,224],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[94,109],"notation=\"LaTeX\">$k$</tex-math></inline-formula>":[95,110],"nn":[96,111],"graph":[97],"maintained":[99],"incrementally":[100],"accelerate":[102],"update":[104],"graph.":[112],"offline":[115],"TWStream":[117,205,218],"concept":[120],"boundary":[122],"confidence":[123],"detect":[125],"cluster":[126],"efficiently":[128],"reveal":[130],"potential":[131],"cores":[132],"clusters.":[134,167],"integrates":[136],"skewness":[138],"sparsity":[140],"distribution,":[144],"as":[145,147],"well":[146],"evolving":[149],"trend":[150],"stream.In":[153],"next":[155],"step,":[156],"micro-cluster-based":[158],"strategy":[161],"applied":[163],"reconstruct":[165],"latent":[166],"improves":[169],"quality":[172],"boundary-ambiguous":[174],"using":[179],"mutual":[181],"reachability-based":[182],"approach":[184],"assignment":[188],"approach.":[189],"The":[190,212],"compared":[194],"9":[196],"competitors":[197],"15":[199],"streams.":[201],"Experimental":[202],"results":[203],"show":[204],"achieves":[206],"competitive":[207],"performance,":[208],"verifying":[209],"its":[210],"effectiveness.":[211],"source":[213],"code":[214],"be":[220],"available":[221],"<uri":[223],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/Du-Team/TWStream</uri>":[225],".":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}