{"id":"https://openalex.org/W2782959635","doi":"https://doi.org/10.1016/j.ipm.2018.01.002","title":"Correlation analysis of performance measures for multi-label classification","display_name":"Correlation analysis of performance measures for multi-label classification","publication_year":2018,"publication_date":"2018-01-17","ids":{"openalex":"https://openalex.org/W2782959635","doi":"https://doi.org/10.1016/j.ipm.2018.01.002","mag":"2782959635"},"language":"en","primary_location":{"id":"doi:10.1016/j.ipm.2018.01.002","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ipm.2018.01.002","pdf_url":null,"source":{"id":"https://openalex.org/S174847851","display_name":"Information Processing & Management","issn_l":"0306-4573","issn":["0306-4573","1873-5371"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Processing &amp; Management","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/A5041998890","display_name":"Rafael B. Pereira","orcid":null},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Rafael B. Pereira","raw_affiliation_strings":["Universidade Federal Fluminense (UFF). Instituto de Computa\u00e7\u00e3o - Campus da Praia Vermelha. Av. Gal. Milton Tavares de Souza, s/n\u00b0, S\u00e3o Domingos, Niter\u00f3i - RJ, 24210-346, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal Fluminense (UFF). Instituto de Computa\u00e7\u00e3o - Campus da Praia Vermelha. Av. Gal. Milton Tavares de Souza, s/n\u00b0, S\u00e3o Domingos, Niter\u00f3i - RJ, 24210-346, Brazil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057541548","display_name":"Alexandre Plastino","orcid":"https://orcid.org/0000-0003-4039-0915"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Alexandre Plastino","raw_affiliation_strings":["Universidade Federal Fluminense (UFF). Instituto de Computa\u00e7\u00e3o - Campus da Praia Vermelha. Av. Gal. Milton Tavares de Souza, s/n\u00b0, S\u00e3o Domingos, Niter\u00f3i - RJ, 24210-346, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal Fluminense (UFF). Instituto de Computa\u00e7\u00e3o - Campus da Praia Vermelha. Av. Gal. Milton Tavares de Souza, s/n\u00b0, S\u00e3o Domingos, Niter\u00f3i - RJ, 24210-346, Brazil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006347550","display_name":"Bianca Zadrozny","orcid":"https://orcid.org/0000-0002-7260-2057"},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bianca Zadrozny","raw_affiliation_strings":["IBM Research. Av. Pasteur, 146, Botafogo, Rio de Janeiro - RJ, 22296-900, Brazil"],"affiliations":[{"raw_affiliation_string":"IBM Research. Av. Pasteur, 146, Botafogo, Rio de Janeiro - RJ, 22296-900, Brazil","institution_ids":["https://openalex.org/I4210113516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028036865","display_name":"Luiz Henrique de Campos Merschmann","orcid":"https://orcid.org/0000-0002-9948-2673"},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luiz H.C. Merschmann","raw_affiliation_strings":["Universidade Federal de Lavras (UFLA). Departamento de Ci\u00eancia da Computa\u00e7\u00e3o. Campus Universit\u00e1rio, Caixa Postal 3037, CEP 37200-000, Lavras - MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Lavras (UFLA). Departamento de Ci\u00eancia da Computa\u00e7\u00e3o. Campus Universit\u00e1rio, Caixa Postal 3037, CEP 37200-000, Lavras - MG, Brazil","institution_ids":["https://openalex.org/I1315085146"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5041998890","https://openalex.org/A5057541548"],"corresponding_institution_ids":["https://openalex.org/I161127581"],"apc_list":{"value":3220,"currency":"USD","value_usd":3220},"apc_paid":null,"fwci":9.1125,"has_fulltext":false,"cited_by_count":150,"citation_normalized_percentile":{"value":0.98193325,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"54","issue":"3","first_page":"359","last_page":"369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","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/T11550","display_name":"Text and Document Classification Technologies","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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/multi-label-classification","display_name":"Multi-label classification","score":0.797288179397583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7062523365020752},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6264101266860962},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5646421909332275},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5566641092300415},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5455486178398132},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4747008681297302},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4285736680030823},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.41370153427124023},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.41184690594673157},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39296817779541016},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3367782235145569},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1796410083770752},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0934867262840271},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.08902588486671448}],"concepts":[{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.797288179397583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7062523365020752},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6264101266860962},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5646421909332275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5566641092300415},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5455486178398132},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4747008681297302},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4285736680030823},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.41370153427124023},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.41184690594673157},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39296817779541016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3367782235145569},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1796410083770752},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0934867262840271},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.08902588486671448},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.ipm.2018.01.002","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ipm.2018.01.002","pdf_url":null,"source":{"id":"https://openalex.org/S174847851","display_name":"Information Processing & Management","issn_l":"0306-4573","issn":["0306-4573","1873-5371"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Processing &amp; Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W55768394","https://openalex.org/W110325196","https://openalex.org/W1570448133","https://openalex.org/W1753402186","https://openalex.org/W1953606363","https://openalex.org/W1970696760","https://openalex.org/W1972490990","https://openalex.org/W1979974203","https://openalex.org/W1998839399","https://openalex.org/W1999954155","https://openalex.org/W2023492421","https://openalex.org/W2035055162","https://openalex.org/W2052684427","https://openalex.org/W2093238926","https://openalex.org/W2101511465","https://openalex.org/W2102705755","https://openalex.org/W2107753812","https://openalex.org/W2114315281","https://openalex.org/W2118712128","https://openalex.org/W2126052291","https://openalex.org/W2129906471","https://openalex.org/W2145827727","https://openalex.org/W2146241755","https://openalex.org/W2149706766","https://openalex.org/W2161824996","https://openalex.org/W2164308541","https://openalex.org/W2165766797","https://openalex.org/W2166912588","https://openalex.org/W2170505850","https://openalex.org/W2181432155","https://openalex.org/W2182822465","https://openalex.org/W2405352691","https://openalex.org/W2913195485","https://openalex.org/W2913529121","https://openalex.org/W2918043114","https://openalex.org/W2999905431","https://openalex.org/W3015464002","https://openalex.org/W3041281612","https://openalex.org/W4229912654","https://openalex.org/W4230574761","https://openalex.org/W4236137412","https://openalex.org/W4285719527","https://openalex.org/W6602286067","https://openalex.org/W6631445940","https://openalex.org/W6636950071","https://openalex.org/W6637877409","https://openalex.org/W6640860807","https://openalex.org/W6643311173","https://openalex.org/W6645073607","https://openalex.org/W6649956883","https://openalex.org/W6675248979","https://openalex.org/W6676372292","https://openalex.org/W6677758222","https://openalex.org/W6683944004","https://openalex.org/W6684574852","https://openalex.org/W6686272741","https://openalex.org/W6713452307"],"related_works":["https://openalex.org/W2365213443","https://openalex.org/W2961085424","https://openalex.org/W2095414260","https://openalex.org/W4306674287","https://openalex.org/W2002726082","https://openalex.org/W2040397200","https://openalex.org/W2912288872","https://openalex.org/W3189089173","https://openalex.org/W4381956280","https://openalex.org/W3045141390"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
