{"id":"https://openalex.org/W4255236572","doi":"https://doi.org/10.1016/s1088-467x(98)00017-1","title":"Decomposition of heterogeneous classification problems","display_name":"Decomposition of heterogeneous classification problems","publication_year":1998,"publication_date":"1998-01-01","ids":{"openalex":"https://openalex.org/W4255236572","doi":"https://doi.org/10.1016/s1088-467x(98)00017-1"},"language":"en","primary_location":{"id":"doi:10.1016/s1088-467x(98)00017-1","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s1088-467x(98)00017-1","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","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/A5066932956","display_name":"C APTE","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C APTE","raw_affiliation_strings":["IBM T.J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000624412","display_name":"S JUNEHONG","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S JUNEHONG","raw_affiliation_strings":["IBM T.J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015497195","display_name":"J HOSKING","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"J HOSKING","raw_affiliation_strings":["IBM T.J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034757855","display_name":"J LEPRE","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J LEPRE","raw_affiliation_strings":["IBM T.J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038482569","display_name":"E PEDNAULT","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"E PEDNAULT","raw_affiliation_strings":["IBM T.J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041522866","display_name":"B ROSEN","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B ROSEN","raw_affiliation_strings":["IBM T.J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5015497195"],"corresponding_institution_ids":["https://openalex.org/I4210114115"],"apc_list":null,"apc_paid":null,"fwci":0.53301422,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74045421,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":"1-4","first_page":"81","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9513999819755554,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9513999819755554,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9090999960899353,"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/feature","display_name":"Feature (linguistics)","score":0.6090083122253418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5325775742530823},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5260826349258423},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.521891176700592},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.49705055356025696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4961138665676117},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4638184905052185},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4614514112472534},{"id":"https://openalex.org/keywords/decision-problem","display_name":"Decision problem","score":0.42854025959968567},{"id":"https://openalex.org/keywords/decision-rule","display_name":"Decision rule","score":0.41059818863868713},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38835272192955017},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37241071462631226},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3219509422779083},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22729459404945374}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6090083122253418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5325775742530823},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5260826349258423},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.521891176700592},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.49705055356025696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4961138665676117},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4638184905052185},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4614514112472534},{"id":"https://openalex.org/C115988155","wikidata":"https://www.wikidata.org/wiki/Q3262192","display_name":"Decision problem","level":2,"score":0.42854025959968567},{"id":"https://openalex.org/C84839998","wikidata":"https://www.wikidata.org/wiki/Q5249245","display_name":"Decision rule","level":2,"score":0.41059818863868713},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38835272192955017},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37241071462631226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3219509422779083},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22729459404945374},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/s1088-467x(98)00017-1","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s1088-467x(98)00017-1","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2115710456","https://openalex.org/W2506189277","https://openalex.org/W1967539035","https://openalex.org/W2904620963","https://openalex.org/W146413628","https://openalex.org/W2955975957","https://openalex.org/W42342261","https://openalex.org/W4390454309","https://openalex.org/W2078641690","https://openalex.org/W2975591339"],"abstract_inverted_index":{"In":[0,29,65],"some":[1,30],"classification":[2,19,181],"problems":[3,32],"the":[4,11,18,26,33,53,80,89,106,118,134,139,157,168,176],"feature":[5,27,158],"space":[6,159],"is":[7,101],"heterogeneous":[8,67],"in":[9,22,103],"that":[10,41,100,160],"best":[12],"features":[13],"on":[14],"which":[15],"to":[16,96,132,150,178],"base":[17],"are":[20,94],"different":[21,23,57,61,164],"parts":[24],"of":[25,45,63,82,105,136,142,156],"space.":[28],"other":[31],"classes":[34,46],"can":[35,113],"be":[36,114],"divided":[37],"into":[38],"subsets":[39,54],"such":[40,66],"distinguishing":[42],"one":[43],"subset":[44],"from":[47],"another":[48],"and":[49,76,93,121,146,174],"classifying":[50],"examples":[51],"within":[52],"require":[55],"very":[56],"decision":[58,73,84,140],"rules,":[59,75],"involving":[60],"sets":[62],"features.":[64],"problems,":[68,145],"many":[69],"modeling":[70,122],"techniques":[71],"(including":[72],"trees,":[74],"neural":[77],"networks)":[78],"evaluate":[79],"performance":[81],"alternative":[83],"rules":[85],"by":[86,116],"averaging":[87],"over":[88],"entire":[90],"problem":[91,119],"space,":[92],"prone":[95],"generating":[97],"a":[98,129,148,153,171,179],"model":[99],"suboptimal":[102],"any":[104],"regions":[107,162],"or":[108],"subproblems.":[109],"Better":[110],"overall":[111],"models":[112],"obtained":[115],"splitting":[117,155],"appropriately":[120],"each":[123],"subproblem":[124],"separately.":[125],"This":[126],"paper":[127],"presents":[128],"new":[130],"measure":[131],"determine":[133],"degree":[135],"dissimilarity":[137],"between":[138],"surfaces":[141],"two":[143],"given":[144],"suggests":[147],"way":[149],"search":[151],"for":[152],"strategic":[154],"identifies":[161],"with":[163],"characteristics.":[165],"We":[166],"illustrate":[167],"concept":[169],"using":[170],"multiplexor":[172],"problem,":[173],"apply":[175],"method":[177],"DNA":[180],"problem.":[182]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}