{"id":"https://openalex.org/W2793248314","doi":"https://doi.org/10.5753/sbbd.2017.171369","title":"A Framework for Online Clustering Based on Evolving Semi-Supervision","display_name":"A Framework for Online Clustering Based on Evolving Semi-Supervision","publication_year":2017,"publication_date":"2017-10-02","ids":{"openalex":"https://openalex.org/W2793248314","doi":"https://doi.org/10.5753/sbbd.2017.171369","mag":"2793248314"},"language":"en","primary_location":{"id":"doi:10.5753/sbbd.2017.171369","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5753/sbbd.2017.171369","pdf_url":"https://sol.sbc.org.br/index.php/sbbd/article/download/24271/24094","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Anais do XXXII Simp\u00f3sio Brasileiro de Banco de Dados (SBBD 2017)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://sol.sbc.org.br/index.php/sbbd/article/download/24271/24094","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101411830","display_name":"Guilherme Alves","orcid":"https://orcid.org/0000-0002-5004-4429"},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Guilherme Alves","raw_affiliation_strings":["Federal University of Uberl\u00e2ndia"],"affiliations":[{"raw_affiliation_string":"Federal University of Uberl\u00e2ndia","institution_ids":["https://openalex.org/I80850581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009825422","display_name":"Maria Camila N. Barioni","orcid":"https://orcid.org/0000-0002-5809-0243"},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Maria Camila N. Barioni","raw_affiliation_strings":["Federal University of Uberl\u00e2ndia"],"affiliations":[{"raw_affiliation_string":"Federal University of Uberl\u00e2ndia","institution_ids":["https://openalex.org/I80850581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042178956","display_name":"Elaine R. Faria","orcid":"https://orcid.org/0000-0001-5242-9026"},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Elaine R. Faria","raw_affiliation_strings":["Federal University of Uberl\u00e2ndia"],"affiliations":[{"raw_affiliation_string":"Federal University of Uberl\u00e2ndia","institution_ids":["https://openalex.org/I80850581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101411830"],"corresponding_institution_ids":["https://openalex.org/I80850581"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.23012828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"16","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9901999831199646,"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/T11478","display_name":"Caching and Content Delivery","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8694115877151489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8277735114097595},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5890401005744934},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.573070228099823},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5184013843536377},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4892999827861786},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.48199978470802307},{"id":"https://openalex.org/keywords/constrained-clustering","display_name":"Constrained clustering","score":0.4652498662471771},{"id":"https://openalex.org/keywords/brown-clustering","display_name":"Brown clustering","score":0.4571528136730194},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.4450143575668335},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.42639482021331787},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.42581018805503845},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.42579197883605957},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.40563613176345825},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36400559544563293},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06341439485549927}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8694115877151489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8277735114097595},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5890401005744934},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.573070228099823},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5184013843536377},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4892999827861786},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.48199978470802307},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.4652498662471771},{"id":"https://openalex.org/C167984511","wikidata":"https://www.wikidata.org/wiki/Q17003931","display_name":"Brown clustering","level":5,"score":0.4571528136730194},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.4450143575668335},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.42639482021331787},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.42581018805503845},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.42579197883605957},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.40563613176345825},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36400559544563293},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06341439485549927},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5753/sbbd.2017.171369","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5753/sbbd.2017.171369","pdf_url":"https://sol.sbc.org.br/index.php/sbbd/article/download/24271/24094","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Anais do XXXII Simp\u00f3sio Brasileiro de Banco de Dados (SBBD 2017)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5753/sbbd.2017.171369","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5753/sbbd.2017.171369","pdf_url":"https://sol.sbc.org.br/index.php/sbbd/article/download/24271/24094","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Anais do XXXII Simp\u00f3sio Brasileiro de Banco de Dados (SBBD 2017)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3331681876","display_name":null,"funder_award_id":"CAPES","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G7614337225","display_name":null,"funder_award_id":"CAPES","funder_id":"https://openalex.org/F4320322980","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de Minas Gerais"},{"id":"https://openalex.org/G8357976619","display_name":null,"funder_award_id":"FAPEMIG","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322980","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de Minas Gerais","ror":"https://ror.org/00nc55f03"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2793248314.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W136866133","https://openalex.org/W1499599687","https://openalex.org/W1608295474","https://openalex.org/W1673310716","https://openalex.org/W1832728800","https://openalex.org/W1880693368","https://openalex.org/W1971784203","https://openalex.org/W1976684966","https://openalex.org/W2040786062","https://openalex.org/W2086060367","https://openalex.org/W2096100960","https://openalex.org/W2170896428","https://openalex.org/W2170936641","https://openalex.org/W2293050121","https://openalex.org/W2319660501","https://openalex.org/W2488375706","https://openalex.org/W2522865245","https://openalex.org/W2572500892","https://openalex.org/W4300942247","https://openalex.org/W6632219776","https://openalex.org/W6644372360","https://openalex.org/W6645196304","https://openalex.org/W6685077929","https://openalex.org/W6685211711","https://openalex.org/W6722987344","https://openalex.org/W6770641979","https://openalex.org/W6817126606","https://openalex.org/W6999514613"],"related_works":["https://openalex.org/W2160785859","https://openalex.org/W4380364044","https://openalex.org/W2550840372","https://openalex.org/W2564198485","https://openalex.org/W3186815950","https://openalex.org/W3124860551","https://openalex.org/W4238952262","https://openalex.org/W2556924671","https://openalex.org/W2309230723","https://openalex.org/W2311450085"],"abstract_inverted_index":{"The":[0,130],"huge":[1],"amount":[2],"of":[3,13,136],"currently":[4],"available":[5],"data":[6,49,55,73,124],"puts":[7],"considerable":[8],"constraints":[9],"on":[10,48,93],"the":[11,44,69,86,117,134,137],"task":[12,31],"information":[14,41,60],"retrieval.":[15],"Automatic":[16],"methods":[17],"to":[18,27,42,51,78,103],"organize":[19],"data,":[20],"such":[21],"as":[22],"clustering,":[23],"can":[24],"be":[25],"used":[26],"help":[28,79],"with":[29,81,105,142],"this":[30,58,82],"allowing":[32],"timely":[33],"access.":[34],"Semi-supervised":[35],"clustering":[36,45,126,157],"approaches":[37],"employ":[38],"some":[39],"additional":[40],"guide":[43],"performed":[46],"based":[47],"attributes":[50],"a":[52,66],"more":[53],"suitable":[54],"partition.":[56],"However,":[57],"extra":[59],"may":[61],"change":[62],"over":[63,121,128],"time":[64],"imposing":[65],"shift":[67],"in":[68],"manner":[70],"by":[71],"which":[72],"is":[74,101,152],"organized.":[75],"In":[76],"order":[77],"cope":[80],"issue,":[83],"we":[84],"propose":[85],"framework":[87,100,139,151],"called":[88],"CABESS":[89],"(Cluster":[90],"Adaptation":[91],"Based":[92],"Evolving":[94],"Semi-Supervision),":[95],"for":[96,140],"online":[97],"clustering.":[98],"This":[99],"able":[102],"deal":[104],"evolving":[106,143],"semi-supervision":[107],"obtained":[108],"through":[109],"user":[110],"binary":[111],"feedbacks.":[112],"To":[113],"validate":[114],"our":[115,150],"approach,":[116],"experiments":[118],"were":[119],"run":[120],"hierarchical":[122],"labeled":[123],"considering":[125],"splits":[127],"time.":[129],"experimental":[131],"results":[132],"show":[133,148],"potential":[135],"proposed":[138],"dealing":[141],"semi-supervision.":[144,162],"Moreover,":[145],"they":[146],"also":[147],"that":[149],"faster":[153],"than":[154],"traditional":[155],"semi-supervised":[156],"algorithms":[158],"using":[159],"lower":[160],"standard":[161]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}