{"id":"https://openalex.org/W2512403507","doi":"https://doi.org/10.1109/ijcnn.2016.7727422","title":"A novel online real-time classifier for multi-label data streams","display_name":"A novel online real-time classifier for multi-label data streams","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2512403507","doi":"https://doi.org/10.1109/ijcnn.2016.7727422","mag":"2512403507"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1608.08905","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100768898","display_name":"Rajasekar Venkatesan","orcid":"https://orcid.org/0000-0002-4061-7801"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rajasekar Venkatesan","raw_affiliation_strings":["School of EEE, Nanyang Technological University, Singapore","School of EEE Nanyang, Technological University, , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EEE, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of EEE Nanyang, Technological University, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035486559","display_name":"Meng Joo Er","orcid":"https://orcid.org/0000-0003-4597-7088"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]},{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Meng Joo Er","raw_affiliation_strings":["School of EEE, Nanyang Technological University, Singapore","School of Machinery and Automation, Wuhan University of Science and Technology, China","School of EEE Nanyang, Technological University, , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EEE, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Machinery and Automation, Wuhan University of Science and Technology, China","institution_ids":["https://openalex.org/I43922553"]},{"raw_affiliation_string":"School of EEE Nanyang, Technological University, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068171246","display_name":"Shiqian Wu","orcid":"https://orcid.org/0000-0002-6383-7663"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqian Wu","raw_affiliation_strings":["School of Machinery and Automation, Wuhan University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Machinery and Automation, Wuhan University of Science and Technology, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036928886","display_name":"Mahardhika Pratama","orcid":"https://orcid.org/0000-0001-6531-5087"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mahardhika Pratama","raw_affiliation_strings":["Department of Computer Science and IT, La Trobe University, Australia","Department of Computer Science & IT, La Trobe University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and IT, La Trobe University, Australia","institution_ids":["https://openalex.org/I196829312"]},{"raw_affiliation_string":"Department of Computer Science & IT, La Trobe University, Australia","institution_ids":["https://openalex.org/I196829312"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1833","last_page":"1840"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9997000098228455,"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/T12676","display_name":"Machine Learning and ELM","score":0.9997000098228455,"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/T11550","display_name":"Text and Document Classification Technologies","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/T12761","display_name":"Data Stream Mining Techniques","score":0.9912999868392944,"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":0.8229560852050781},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7778562307357788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6502968072891235},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.6162524819374084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6080493927001953},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5297924876213074},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.49989867210388184},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46787118911743164},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46214044094085693},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4515560567378998},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.44276002049446106},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.4105716347694397},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3698512315750122}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8229560852050781},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7778562307357788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6502968072891235},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.6162524819374084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6080493927001953},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5297924876213074},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.49989867210388184},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46787118911743164},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46214044094085693},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4515560567378998},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.44276002049446106},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.4105716347694397},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3698512315750122},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1608.08905","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1608.08905","pdf_url":"https://arxiv.org/pdf/1608.08905","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2512403507","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1608.08905.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1608.08905","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1608.08905","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1608.08905","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1608.08905","pdf_url":"https://arxiv.org/pdf/1608.08905","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.44999998807907104,"display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G1482925484","display_name":null,"funder_award_id":"Tier 1","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"}],"funders":[{"id":"https://openalex.org/F4320320751","display_name":"Ministry of Education - Singapore","ror":"https://ror.org/01kcva023"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2512403507.pdf"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W402399454","https://openalex.org/W1499841549","https://openalex.org/W1507852567","https://openalex.org/W1556454405","https://openalex.org/W1560789270","https://openalex.org/W1761758209","https://openalex.org/W1965895201","https://openalex.org/W1993717606","https://openalex.org/W2012638612","https://openalex.org/W2017578526","https://openalex.org/W2029657028","https://openalex.org/W2036485694","https://openalex.org/W2040397200","https://openalex.org/W2040647667","https://openalex.org/W2052684427","https://openalex.org/W2056901498","https://openalex.org/W2068714596","https://openalex.org/W2069315453","https://openalex.org/W2078622091","https://openalex.org/W2111072639","https://openalex.org/W2111758928","https://openalex.org/W2116470734","https://openalex.org/W2129906471","https://openalex.org/W2144620643","https://openalex.org/W2145827727","https://openalex.org/W2146012283","https://openalex.org/W2149684865","https://openalex.org/W2155910151","https://openalex.org/W2158054309","https://openalex.org/W2163683764","https://openalex.org/W2500816152","https://openalex.org/W6602286067","https://openalex.org/W6602547664","https://openalex.org/W6613950702","https://openalex.org/W6639365408","https://openalex.org/W6654855549","https://openalex.org/W6677758222","https://openalex.org/W6677892605","https://openalex.org/W6715900294"],"related_works":["https://openalex.org/W2963593336","https://openalex.org/W3104303574","https://openalex.org/W2473721721","https://openalex.org/W2059141953","https://openalex.org/W2032028573","https://openalex.org/W2963347423","https://openalex.org/W2526237334","https://openalex.org/W1497564839","https://openalex.org/W2411489059","https://openalex.org/W2008288513","https://openalex.org/W2789937392","https://openalex.org/W2893361224","https://openalex.org/W2892675707","https://openalex.org/W2163734809","https://openalex.org/W1976612711","https://openalex.org/W1999573992","https://openalex.org/W1876634630","https://openalex.org/W2502508992","https://openalex.org/W2295628041","https://openalex.org/W3027366241"],"abstract_inverted_index":{"In":[0,46,85],"this":[1,86],"paper,":[2,87],"a":[3,65,104],"novel":[4,105],"extreme":[5,99],"learning":[6,27,100],"machine":[7,26],"based":[8,78],"online":[9,75,106],"multi-label":[10,54,79,110,151],"classifier":[11,80,108,115],"for":[12,109,124],"real-time":[13,74,107],"data":[14,111,152],"streams":[15,153],"is":[16,20,116],"proposed.":[17],"Multi-label":[18],"classification":[19,55],"one":[21],"of":[22,58,60,67,93,144],"the":[23,35,61,83,90,98,134,138],"actively":[24],"researched":[25],"paradigm":[28],"that":[29,133],"has":[30],"gained":[31],"much":[32],"attention":[33],"in":[34,82,142,154],"recent":[36],"years":[37],"due":[38],"to":[39,48,102],"its":[40],"rapidly":[41],"increasing":[42],"real":[43],"world":[44],"applications.":[45],"contrast":[47],"traditional":[49],"binary":[50],"and":[51,127,146,148],"multi-class":[52],"classification,":[53],"involves":[56],"association":[57],"each":[59],"input":[62],"samples":[63],"with":[64,118],"set":[66],"target":[68],"labels":[69],"simultaneously.":[70],"There":[71],"are":[72],"no":[73],"neural":[76],"network":[77],"available":[81],"literature.":[84],"we":[88],"exploit":[89],"inherent":[91],"nature":[92],"high":[94],"speed":[95,145],"exhibited":[96],"by":[97],"machines":[101],"develop":[103],"streams.":[112],"The":[113,129],"developed":[114],"experimented":[117],"datasets":[119],"from":[120],"different":[121],"application":[122],"domains":[123],"consistency,":[125],"performance":[126],"speed.":[128],"experimental":[130],"studies":[131],"show":[132],"proposed":[135],"method":[136],"outperforms":[137],"existing":[139],"state-of-the-art":[140],"techniques":[141],"terms":[143],"accuracy":[147],"can":[149],"classify":[150],"real-time.":[155]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}