{"id":"https://openalex.org/W3200724160","doi":"https://doi.org/10.3233/ida-205443","title":"GOW-Stream: A novel approach of graph-of-words based mixture model for semantic-enhanced text stream clustering","display_name":"GOW-Stream: A novel approach of graph-of-words based mixture model for semantic-enhanced text stream clustering","publication_year":2021,"publication_date":"2021-09-15","ids":{"openalex":"https://openalex.org/W3200724160","doi":"https://doi.org/10.3233/ida-205443","mag":"3200724160"},"language":"en","primary_location":{"id":"doi:10.3233/ida-205443","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-205443","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","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/A5006709815","display_name":"Tham Vo","orcid":"https://orcid.org/0000-0001-7291-4168"},"institutions":[{"id":"https://openalex.org/I4210111957","display_name":"B\u00ecnh D\u01b0\u01a1ng University","ror":"https://ror.org/02b9zqw68","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210111957"]},{"id":"https://openalex.org/I4210134642","display_name":"Lac Hong University","ror":"https://ror.org/03nypmk85","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210134642"]},{"id":"https://openalex.org/I4391012539","display_name":"Thu Dau Mot University","ror":"https://ror.org/010y5b925","country_code":null,"type":"education","lineage":["https://openalex.org/I4391012539"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Tham Vo","raw_affiliation_strings":["Lac Hong University, Dong Nai, Vietnam","Thu Dau Mot University, Binh Duong, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lac Hong University, Dong Nai, Vietnam","institution_ids":["https://openalex.org/I4210134642"]},{"raw_affiliation_string":"Thu Dau Mot University, Binh Duong, Vietnam","institution_ids":["https://openalex.org/I4210111957","https://openalex.org/I4391012539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066394609","display_name":"Phuc Do","orcid":"https://orcid.org/0000-0001-6475-8716"},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Phuc Do","raw_affiliation_strings":["University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam","institution_ids":["https://openalex.org/I123565023"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006709815"],"corresponding_institution_ids":["https://openalex.org/I4210111957","https://openalex.org/I4210134642","https://openalex.org/I4391012539"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13423152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"5","first_page":"1211","last_page":"1231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9986000061035156,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9986000061035156,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9979000091552734,"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/computer-science","display_name":"Computer science","score":0.8224847316741943},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7924543619155884},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7550197839736938},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.5528275966644287},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.5280186533927917},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.49364173412323},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4837774932384491},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44947004318237305},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4465819299221039},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4229624271392822},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40751463174819946},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37098509073257446},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33344218134880066},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.2555210590362549},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14854401350021362},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.14704585075378418},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1403464674949646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8224847316741943},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7924543619155884},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7550197839736938},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.5528275966644287},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.5280186533927917},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.49364173412323},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4837774932384491},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44947004318237305},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4465819299221039},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4229624271392822},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40751463174819946},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37098509073257446},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33344218134880066},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.2555210590362549},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14854401350021362},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.14704585075378418},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1403464674949646},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-205443","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-205443","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W182707955","https://openalex.org/W258053484","https://openalex.org/W1540921703","https://openalex.org/W1880262756","https://openalex.org/W2028544407","https://openalex.org/W2046677795","https://openalex.org/W2072644219","https://openalex.org/W2137644567","https://openalex.org/W2170936641","https://openalex.org/W2171343266","https://openalex.org/W2361559774","https://openalex.org/W2382102351","https://openalex.org/W2442340835","https://openalex.org/W2748401491","https://openalex.org/W2789152757","https://openalex.org/W2808998506","https://openalex.org/W2945792422","https://openalex.org/W4231510805","https://openalex.org/W6639619044"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W1517524280","https://openalex.org/W4323520239","https://openalex.org/W4389760904","https://openalex.org/W2888780092"],"abstract_inverted_index":{"Recently,":[0],"rapid":[1,52],"growth":[2],"of":[3,54,58,99,130,141,189],"social":[4,28,115],"networks":[5],"and":[6,56,196],"online":[7],"news":[8],"resources":[9],"from":[10,35,147],"Internet":[11],"have":[12],"made":[13],"text":[14,25,31,38,41,66,107,134,171],"stream":[15,42,67,135,172],"clustering":[16,39,43,68,173],"become":[17],"an":[18],"insufficient":[19],"application":[20,140],"in":[21,114,122,193],"multiple":[22,182],"domains":[23],"(e.g.:":[24],"retrieval":[26],"diversification,":[27],"event":[29],"detection,":[30],"summarization,":[32],"etc.)":[33],"Different":[34],"traditional":[36],"static":[37],"approach,":[40],"task":[44],"has":[45],"specific":[46],"key":[47],"challenges":[48],"related":[49],"to":[50,96,156,167],"the":[51,86,97,158,187],"change":[53],"topics/clusters":[55],"high-velocity":[57],"coming":[59],"streaming":[60],"document":[61,149],"batches.":[62],"Recent":[63],"well-known":[64],"model-based":[65],"models,":[69],"such":[70,109],"as:":[71],"DTM,":[72],"DCT,":[73],"MStream,":[74],"etc.":[75,113],"are":[76,145],"considered":[77],"as":[78,110],"word-independent":[79,159],"evaluation":[80,160],"approach":[81,129],"which":[82,144],"means":[83],"largely":[84],"ignoring":[85],"relations":[87],"between":[88],"words":[89],"while":[90,151],"sampling":[91,152],"clusters/topics.":[92],"It":[93],"definitely":[94],"leads":[95],"decrease":[98],"overall":[100],"model":[101,192],"accuracy":[102,195],"performance,":[103],"especially":[104],"for":[105],"short-length":[106],"documents":[108],"comments,":[111],"microblogs,":[112],"networks.":[116],"To":[117],"tackle":[118],"these":[119],"existing":[120],"problems,":[121],"this":[123],"paper":[124],"we":[125],"propose":[126],"a":[127],"novel":[128],"graph-of-words":[131],"(GOWs)":[132],"based":[133],"clustering,":[136],"called":[137],"GOW-Stream.":[138],"The":[139],"common":[142],"GOWs":[143],"generated":[146],"each":[148],"batch":[150],"clusters/topics":[153],"can":[154],"support":[155],"overcome":[157],"challenge.":[161],"Our":[162],"proposed":[163,191],"GOW-Stream":[164],"is":[165],"promising":[166],"significantly":[168],"achieve":[169],"better":[170],"performance":[174],"than":[175],"recent":[176],"state-of-the-art":[177],"baselines.":[178],"Extensive":[179],"experiments":[180],"on":[181],"benchmark":[183],"real-world":[184],"datasets":[185],"demonstrate":[186],"effectiveness":[188],"our":[190],"both":[194],"time-consuming":[197],"performances.":[198]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
