{"id":"https://openalex.org/W2170197608","doi":"https://doi.org/10.1007/s13173-012-0072-8","title":"Partially labeled data stream classification with the semi-supervised K-associated graph","display_name":"Partially labeled data stream classification with the semi-supervised K-associated graph","publication_year":2012,"publication_date":"2012-04-16","ids":{"openalex":"https://openalex.org/W2170197608","doi":"https://doi.org/10.1007/s13173-012-0072-8","mag":"2170197608"},"language":"en","primary_location":{"id":"doi:10.1007/s13173-012-0072-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13173-012-0072-8","pdf_url":"https://journal-bcs.springeropen.com/counter/pdf/10.1007/s13173-012-0072-8","source":{"id":"https://openalex.org/S69801987","display_name":"Journal of the Brazilian Computer Society","issn_l":"0104-6500","issn":["0104-6500","1678-4804"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Brazilian Computer Society","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journal-bcs.springeropen.com/counter/pdf/10.1007/s13173-012-0072-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062290547","display_name":"Jo\u00e3o Roberto Bertini","orcid":"https://orcid.org/0000-0002-1679-3151"},"institutions":[{"id":"https://openalex.org/I4210131883","display_name":"Brazilian Society of Computational and Applied Mathematics","ror":"https://ror.org/03kcw4w74","country_code":"BR","type":"other","lineage":["https://openalex.org/I4210131883"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Roberto Bertini","raw_affiliation_strings":["Instituto de Ci\u00eancias Matem\u00e1ticas e de Computa\u00e7\u00e3o, USP, S\u00e3o Carlos, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Ci\u00eancias Matem\u00e1ticas e de Computa\u00e7\u00e3o, USP, S\u00e3o Carlos, Brazil","institution_ids":["https://openalex.org/I4210131883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071993604","display_name":"Alneu de Andrade Lopes","orcid":"https://orcid.org/0000-0003-3112-4746"},"institutions":[{"id":"https://openalex.org/I4210131883","display_name":"Brazilian Society of Computational and Applied Mathematics","ror":"https://ror.org/03kcw4w74","country_code":"BR","type":"other","lineage":["https://openalex.org/I4210131883"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alneu de Andrade Lopes","raw_affiliation_strings":["Instituto de Ci\u00eancias Matem\u00e1ticas e de Computa\u00e7\u00e3o, USP, S\u00e3o Carlos, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Ci\u00eancias Matem\u00e1ticas e de Computa\u00e7\u00e3o, USP, S\u00e3o Carlos, Brazil","institution_ids":["https://openalex.org/I4210131883"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100697945","display_name":"Liang Zhao","orcid":"https://orcid.org/0000-0002-1502-6604"},"institutions":[{"id":"https://openalex.org/I4210131883","display_name":"Brazilian Society of Computational and Applied Mathematics","ror":"https://ror.org/03kcw4w74","country_code":"BR","type":"other","lineage":["https://openalex.org/I4210131883"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Liang Zhao","raw_affiliation_strings":["Instituto de Ci\u00eancias Matem\u00e1ticas e de Computa\u00e7\u00e3o, USP, S\u00e3o Carlos, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Ci\u00eancias Matem\u00e1ticas e de Computa\u00e7\u00e3o, USP, S\u00e3o Carlos, Brazil","institution_ids":["https://openalex.org/I4210131883"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100697945"],"corresponding_institution_ids":["https://openalex.org/I4210131883"],"apc_list":{"value":1390,"currency":"USD","value_usd":1390},"apc_paid":{"value":1390,"currency":"USD","value_usd":1390},"fwci":3.2079,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.92472954,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"18","issue":"4","first_page":"299","last_page":"310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9922999739646912,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9894999861717224,"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/graph","display_name":"Graph","score":0.6835414171218872},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6710854768753052},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6565780639648438},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.536140501499176},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5267547965049744},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.5023112297058105},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.48927876353263855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48191383481025696},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4704256057739258},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.44198063015937805},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42756104469299316},{"id":"https://openalex.org/keywords/one-class-classification","display_name":"One-class classification","score":0.42008376121520996},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.3722464442253113},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3488294780254364},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20335566997528076}],"concepts":[{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6835414171218872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6710854768753052},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6565780639648438},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.536140501499176},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5267547965049744},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.5023112297058105},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.48927876353263855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48191383481025696},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4704256057739258},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.44198063015937805},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42756104469299316},{"id":"https://openalex.org/C34872919","wikidata":"https://www.wikidata.org/wiki/Q7092302","display_name":"One-class classification","level":3,"score":0.42008376121520996},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.3722464442253113},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3488294780254364},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20335566997528076},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s13173-012-0072-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13173-012-0072-8","pdf_url":"https://journal-bcs.springeropen.com/counter/pdf/10.1007/s13173-012-0072-8","source":{"id":"https://openalex.org/S69801987","display_name":"Journal of the Brazilian Computer Society","issn_l":"0104-6500","issn":["0104-6500","1678-4804"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Brazilian Computer Society","raw_type":"journal-article"},{"id":"pmh:002281074","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s13173-012-0072-8","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"reponame:Reposit\u00f3rio Institucional da USP (Biblioteca Digital da Produ\u00e7\u00e3o Intelectual)","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1007/s13173-012-0072-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13173-012-0072-8","pdf_url":"https://journal-bcs.springeropen.com/counter/pdf/10.1007/s13173-012-0072-8","source":{"id":"https://openalex.org/S69801987","display_name":"Journal of the Brazilian Computer Society","issn_l":"0104-6500","issn":["0104-6500","1678-4804"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Brazilian Computer Society","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2170197608.pdf","grobid_xml":"https://content.openalex.org/works/W2170197608.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W143174683","https://openalex.org/W188803003","https://openalex.org/W1479807131","https://openalex.org/W1486777205","https://openalex.org/W1497443639","https://openalex.org/W1529046154","https://openalex.org/W1554944419","https://openalex.org/W1563249575","https://openalex.org/W1585854823","https://openalex.org/W1592356192","https://openalex.org/W1907380269","https://openalex.org/W1980093325","https://openalex.org/W1984701370","https://openalex.org/W1990079212","https://openalex.org/W2009727399","https://openalex.org/W2022775778","https://openalex.org/W2039320829","https://openalex.org/W2046112342","https://openalex.org/W2047449506","https://openalex.org/W2069897905","https://openalex.org/W2087405576","https://openalex.org/W2095758197","https://openalex.org/W2097308346","https://openalex.org/W2104290444","https://openalex.org/W2107056945","https://openalex.org/W2118258885","https://openalex.org/W2122565017","https://openalex.org/W2125055259","https://openalex.org/W2129767422","https://openalex.org/W2132914434","https://openalex.org/W2135725275","https://openalex.org/W2136504847","https://openalex.org/W2139327121","https://openalex.org/W2157515074","https://openalex.org/W2171809276","https://openalex.org/W2314250288","https://openalex.org/W2566637231","https://openalex.org/W2787894218","https://openalex.org/W3145128584","https://openalex.org/W4246219036","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2940903377","https://openalex.org/W3108897387","https://openalex.org/W4229924696","https://openalex.org/W4386121812","https://openalex.org/W4307392573","https://openalex.org/W2912132049","https://openalex.org/W1521014365","https://openalex.org/W2028841489","https://openalex.org/W2207622907","https://openalex.org/W2124077530"],"abstract_inverted_index":{"Abstract":[0],"Regular":[1],"data":[2,22,32,43,54],"classification":[3,90,143],"techniques":[4],"are":[5,62],"based":[6,80],"mainly":[7],"on":[8,81],"two":[9],"strong":[10],"assumptions:":[11],"(1)":[12],"the":[13,36,39,51,59,77,82,104,111,114,122,136],"existence":[14],"of":[15,21,38,53,58,121],"a":[16,71],"reasonably":[17],"large":[18],"labeled":[19,97],"set":[20],"to":[23,35,64,86,94,108,128],"be":[24],"used":[25],"in":[26,50,113],"training;":[27],"and":[28,98,139,147],"(2)":[29],"future":[30],"input":[31],"instances":[33],"conform":[34],"distribution":[37,44],"training":[40,115],"set,":[41],"i.e.":[42],"is":[45,145],"stationary":[46],"along":[47],"time.":[48],"However,":[49],"case":[52],"stream":[55],"classification,":[56],"both":[57],"aforementioned":[60],"assumptions":[61],"difficult":[63],"satisfy.":[65],"In":[66,92],"this":[67],"paper,":[68],"we":[69,102],"present":[70],"graph-based":[72],"semi-supervised":[73,89],"approach":[74],"that":[75],"extends":[76],"static":[78],"classifier":[79],"K-associated":[83],"Optimal":[84],"Graph":[85],"perform":[87],"online":[88],"tasks.":[91],"order":[93],"learn":[95],"from":[96],"unlabeled":[99],"patterns,":[100],"here":[101],"adapt":[103],"optimal":[105],"graph":[106,124],"construction":[107],"simultaneously":[109],"spread":[110],"labels":[112],"set.":[116],"The":[117],"sparse,":[118],"disconnected":[119],"nature":[120],"proposed":[123,137],"structure":[125],"gives":[126],"flexibility":[127],"cope":[129],"with":[130],"non-stationary":[131],"classification.":[132],"Experimental":[133],"comparison":[134],"between":[135],"method":[138],"three":[140],"state-of-the-art":[141],"ensemble":[142],"methods":[144],"provided":[146],"promising":[148],"results":[149],"have":[150],"been":[151],"obtained.":[152]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2016-06-24T00:00:00"}
