{"id":"https://openalex.org/W2023126929","doi":"https://doi.org/10.1080/08839510801972827","title":"INDUCTION FROM MULTI-LABEL EXAMPLES IN INFORMATION RETRIEVAL SYSTEMS: A CASE STUDY","display_name":"INDUCTION FROM MULTI-LABEL EXAMPLES IN INFORMATION RETRIEVAL SYSTEMS: A CASE STUDY","publication_year":2008,"publication_date":"2008-05-09","ids":{"openalex":"https://openalex.org/W2023126929","doi":"https://doi.org/10.1080/08839510801972827","mag":"2023126929"},"language":"en","primary_location":{"id":"doi:10.1080/08839510801972827","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839510801972827","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839510801972827?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839510801972827?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027599938","display_name":"Kanoksri Sarinnapakorn","orcid":"https://orcid.org/0009-0007-6830-2557"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kanoksri Sarinnapakorn","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, Florida, USA","[Department of Electrical and Computer Engineering, University of Miami Coral Gables, Florida, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, Florida, USA","institution_ids":["https://openalex.org/I145608581"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, University of Miami Coral Gables, Florida, USA]","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005267732","display_name":"Miroslav Kub\u00e1t","orcid":"https://orcid.org/0000-0002-3398-3125"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miroslav Kubat","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, Florida, USA","[Department of Electrical and Computer Engineering, University of Miami Coral Gables, Florida, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, Florida, USA","institution_ids":["https://openalex.org/I145608581"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, University of Miami Coral Gables, Florida, USA]","institution_ids":["https://openalex.org/I145608581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5027599938"],"corresponding_institution_ids":["https://openalex.org/I145608581"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":2.6915,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.91419847,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"22","issue":"5","first_page":"407","last_page":"432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9915000200271606,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.989799976348877,"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":0.8941622376441956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.620873749256134},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5851506590843201},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5758405327796936},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5237443447113037},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4685654938220978},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.44971147179603577},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37226203083992004},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3481820225715637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8941622376441956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.620873749256134},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5851506590843201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5758405327796936},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5237443447113037},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4685654938220978},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.44971147179603577},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37226203083992004},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3481820225715637},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/08839510801972827","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839510801972827","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839510801972827?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/08839510801972827","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839510801972827","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839510801972827?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G4302131877","display_name":"SEI:    Diagnosis and Treatment of HIV Patients using Data-Mining Techniques: Making Inferences from Imperfect Data","funder_award_id":"0513702","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320719","display_name":"Department of Science and Technology, Ministry of Science and Technology, India","ror":"https://ror.org/0101xrq71"},{"id":"https://openalex.org/F4320326548","display_name":"Masarykova Univerzita","ror":"https://ror.org/02j46qs45"},{"id":"https://openalex.org/F4320334701","display_name":"Joint Research Centre","ror":"https://ror.org/04j5wtv36"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2023126929.pdf","grobid_xml":"https://content.openalex.org/works/W2023126929.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W66588809","https://openalex.org/W67881473","https://openalex.org/W1512000873","https://openalex.org/W1520605446","https://openalex.org/W1550206324","https://openalex.org/W1558901573","https://openalex.org/W1564634668","https://openalex.org/W1568122762","https://openalex.org/W1572186050","https://openalex.org/W1577933906","https://openalex.org/W1625504505","https://openalex.org/W1628254852","https://openalex.org/W1751470192","https://openalex.org/W1753402186","https://openalex.org/W1817561967","https://openalex.org/W1881647329","https://openalex.org/W1883340868","https://openalex.org/W1911720761","https://openalex.org/W1956559956","https://openalex.org/W1979974203","https://openalex.org/W1986913017","https://openalex.org/W1988790447","https://openalex.org/W2000900876","https://openalex.org/W2013657661","https://openalex.org/W2021632899","https://openalex.org/W2023991263","https://openalex.org/W2030646297","https://openalex.org/W2053463056","https://openalex.org/W2060216474","https://openalex.org/W2061351061","https://openalex.org/W2070534370","https://openalex.org/W2080581973","https://openalex.org/W2093717447","https://openalex.org/W2108721765","https://openalex.org/W2112076978","https://openalex.org/W2114535528","https://openalex.org/W2119466907","https://openalex.org/W2120929742","https://openalex.org/W2131602991","https://openalex.org/W2141059745","https://openalex.org/W2149684865","https://openalex.org/W2150617187","https://openalex.org/W2157676789","https://openalex.org/W2325227998","https://openalex.org/W2561675875","https://openalex.org/W2797148637","https://openalex.org/W2912934387","https://openalex.org/W3101436856","https://openalex.org/W4235264713","https://openalex.org/W4244952642","https://openalex.org/W4290890850","https://openalex.org/W4301347335"],"related_works":["https://openalex.org/W3121841074","https://openalex.org/W2901018557","https://openalex.org/W2055572829","https://openalex.org/W1894159578","https://openalex.org/W2807400035","https://openalex.org/W4297796115","https://openalex.org/W3125086856","https://openalex.org/W3024801493","https://openalex.org/W2913388591","https://openalex.org/W3007653948"],"abstract_inverted_index":{"Information":[0],"retrieval":[1],"systems":[2],"often":[3,41],"use":[4,40],"machine-learning":[5],"techniques":[6,37],"to":[7,24,57],"induce":[8],"classifiers":[9],"capable":[10],"of":[11,92,130],"categorizing":[12],"documents.":[13],"Unfortunately,":[14],"the":[15,18,48,68,90,93,107,116,122],"circumstance":[16],"that":[17,129,137],"same":[19],"document":[20],"may":[21],"simultaneously":[22],"belong":[23],"two":[25],"or":[26],"more":[27,131],"categories":[28],"has":[29],"so":[30],"far":[31],"received":[32],"inadequate":[33],"attention,":[34],"and":[35,135],"induction":[36,65],"currently":[38],"in":[39,52,100,144,149],"suffer":[42],"from":[43],"prohibitive":[44],"computational":[45,140],"costs.":[46],"In":[47],"case":[49],"study":[50],"reported":[51],"this":[53],"article,":[54],"we":[55,105],"managed":[56],"reduce":[58],"these":[59],"costs":[60],"by":[61,72,115],"running":[62],"a":[63,83,86],"\u201cbaseline":[64],"algorithm\u201d":[66],"on":[67],"training":[69],"examples":[70],"described":[71],"diverse":[73],"feature":[74],"subsets,":[75],"thus":[76],"obtaining":[77],"several":[78,101],"subclassifiers.":[79,94],"When":[80],"asked":[81],"about":[82],"document's":[84],"classes,":[85],"\u201cmaster":[87],"classifier\u201d":[88],"combines":[89],"outputs":[91],"This":[95],"combination":[96],"can":[97],"be":[98],"accomplished":[99],"different":[102],"ways,":[103],"but":[104],"achieved":[106,143],"best":[108],"results":[109],"with":[110,128],"our":[111],"own":[112],"mechanism":[113],"inspired":[114],"Dempster-Shafer":[117],"Theory":[118],"(DST).":[119],"We":[120],"describe":[121],"technique,":[123],"compare":[124],"its":[125,138],"performance":[126],"(experimentally)":[127],"traditional":[132],"voting":[133],"approaches,":[134],"show":[136],"substantial":[139],"savings":[141],"were":[142],"exchange":[145],"for":[146],"acceptable":[147],"loss":[148],"classification":[150],"performance.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}