{"id":"https://openalex.org/W2002303652","doi":"https://doi.org/10.1007/s10994-010-5168-9","title":"Finding a short and accurate decision rule in disjunctive normal form by exhaustive search","display_name":"Finding a short and accurate decision rule in disjunctive normal form by exhaustive search","publication_year":2010,"publication_date":"2010-01-28","ids":{"openalex":"https://openalex.org/W2002303652","doi":"https://doi.org/10.1007/s10994-010-5168-9","mag":"2002303652"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-010-5168-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-010-5168-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-010-5168-9.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"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-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-010-5168-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048645102","display_name":"Peter R. Rijnbeek","orcid":"https://orcid.org/0000-0003-0621-1979"},"institutions":[{"id":"https://openalex.org/I2801952686","display_name":"Erasmus MC","ror":"https://ror.org/018906e22","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I2801952686"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Peter R. Rijnbeek","raw_affiliation_strings":["Department of Medical Informatics, Erasmus University Medical Center, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands","Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands 3000 CA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Informatics, Erasmus University Medical Center, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands","institution_ids":["https://openalex.org/I2801952686"]},{"raw_affiliation_string":"Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands 3000 CA#TAB#","institution_ids":["https://openalex.org/I2801952686"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005077862","display_name":"Jan A. Kors","orcid":"https://orcid.org/0000-0002-4929-026X"},"institutions":[{"id":"https://openalex.org/I2801952686","display_name":"Erasmus MC","ror":"https://ror.org/018906e22","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I2801952686"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jan A. Kors","raw_affiliation_strings":["Department of Medical Informatics, Erasmus University Medical Center, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands","Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands 3000 CA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Informatics, Erasmus University Medical Center, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands","institution_ids":["https://openalex.org/I2801952686"]},{"raw_affiliation_string":"Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands 3000 CA#TAB#","institution_ids":["https://openalex.org/I2801952686"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048645102"],"corresponding_institution_ids":["https://openalex.org/I2801952686"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":4.5267,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.95480651,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"80","issue":"1","first_page":"33","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9962999820709229,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9886999726295471,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/disjunctive-normal-form","display_name":"Disjunctive normal form","score":0.5517777800559998},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.5504398345947266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5348419547080994},{"id":"https://openalex.org/keywords/decision-rule","display_name":"Decision rule","score":0.5265486836433411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5246344208717346},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4987502098083496},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4900113642215729},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.4882621765136719},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45778053998947144},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4078713357448578},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34328046441078186},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32601553201675415},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2547241747379303}],"concepts":[{"id":"https://openalex.org/C136726353","wikidata":"https://www.wikidata.org/wiki/Q903789","display_name":"Disjunctive normal form","level":2,"score":0.5517777800559998},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.5504398345947266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5348419547080994},{"id":"https://openalex.org/C84839998","wikidata":"https://www.wikidata.org/wiki/Q5249245","display_name":"Decision rule","level":2,"score":0.5265486836433411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5246344208717346},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4987502098083496},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4900113642215729},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.4882621765136719},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45778053998947144},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4078713357448578},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34328046441078186},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32601553201675415},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2547241747379303},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10994-010-5168-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-010-5168-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-010-5168-9.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"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-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},{"id":"pmh:eur:oai:repub.eur.nl:28086","is_oa":true,"landing_page_url":"http://hdl.handle.net/1765/28086","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning, 80(1), 33 - 62","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:repub.eur.nl:28086","is_oa":false,"landing_page_url":"https://repub.eur.nl/pub/28086","pdf_url":null,"source":{"id":"https://openalex.org/S4377196287","display_name":"RePub (Erasmus University Rotterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I913958620","host_organization_name":"Erasmus University Rotterdam","host_organization_lineage":["https://openalex.org/I913958620"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning vol. 80 no. 1, pp. 33-62","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10994-010-5168-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-010-5168-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-010-5168-9.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"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-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2002303652.pdf","grobid_xml":"https://content.openalex.org/works/W2002303652.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W167016754","https://openalex.org/W187660804","https://openalex.org/W1506385404","https://openalex.org/W1528113134","https://openalex.org/W1565746575","https://openalex.org/W1570286060","https://openalex.org/W1570448133","https://openalex.org/W1598333443","https://openalex.org/W1604284057","https://openalex.org/W1623342295","https://openalex.org/W1670263352","https://openalex.org/W1761022139","https://openalex.org/W1927345150","https://openalex.org/W1982052293","https://openalex.org/W1987680624","https://openalex.org/W2013640190","https://openalex.org/W2016736065","https://openalex.org/W2020546735","https://openalex.org/W2026499370","https://openalex.org/W2032427901","https://openalex.org/W2058732827","https://openalex.org/W2105481783","https://openalex.org/W2121241385","https://openalex.org/W2121317427","https://openalex.org/W2123504579","https://openalex.org/W2125055259","https://openalex.org/W2129027474","https://openalex.org/W2132166479","https://openalex.org/W2136000097","https://openalex.org/W2149706766","https://openalex.org/W2154642793","https://openalex.org/W2161642325","https://openalex.org/W2466512847","https://openalex.org/W3112020351","https://openalex.org/W4251103229","https://openalex.org/W6606837198","https://openalex.org/W6607711747","https://openalex.org/W6738852829","https://openalex.org/W6816437394","https://openalex.org/W6817491142","https://openalex.org/W7055702063"],"related_works":["https://openalex.org/W4375852175","https://openalex.org/W2961085424","https://openalex.org/W4200511449","https://openalex.org/W3200179079","https://openalex.org/W4249229055","https://openalex.org/W3037880068","https://openalex.org/W4287753411","https://openalex.org/W2556319748","https://openalex.org/W4281650947","https://openalex.org/W2002303652"],"abstract_inverted_index":{"Greedy":[0],"approaches":[1],"suffer":[2],"from":[3],"a":[4,59,66,97,114],"restricted":[5],"search":[6,25,31,179,197,205],"space":[7],"which":[8],"could":[9],"lead":[10],"to":[11,29,49,71,117,139,153],"suboptimal":[12],"classifiers":[13,162],"in":[14,53,58,80,156,159,206],"terms":[15],"of":[16,75,92,104,122,130,141,165],"performance":[17,106,127],"and":[18,35,61,128,182],"classifier":[19],"size.":[20],"This":[21],"study":[22],"discusses":[23],"exhaustive":[24,151,178,196],"as":[26],"an":[27,150,201],"alternative":[28,202],"greedy":[30,204],"for":[32,42,78,203],"learning":[33,155],"short":[34],"accurate":[36],"decision":[37,51],"rules.":[38],"The":[39,126],"Exhaustive":[40],"Procedure":[41],"LOgic-Rule":[43],"Extraction":[44],"(EXPLORE)":[45],"algorithm":[46],"is":[47,180],"presented,":[48],"induce":[50],"rules":[52,133],"disjunctive":[54],"normal":[55],"form":[56],"(DNF)":[57],"systematic":[60],"efficient":[62],"manner.":[63],"We":[64],"propose":[65],"method":[67],"based":[68,189],"on":[69,190],"subsumption":[70],"reduce":[72],"the":[73,81,87,110,119,123,131,166],"number":[74],"values":[76],"considered":[77,200],"instantiation":[79],"literals,":[82],"by":[83,135],"taking":[84],"into":[85],"account":[86],"relational":[88],"operator":[89],"without":[90],"loss":[91],"performance.":[93,176],"Furthermore,":[94],"we":[95,112,193],"describe":[96],"branch-and-bound":[98],"approach":[99,152],"that":[100,149,195],"makes":[101],"optimal":[102,120],"use":[103,113],"user-defined":[105],"constraints.":[107],"To":[108],"improve":[109],"generalizability":[111],"validation":[115],"set":[116],"determine":[118],"length":[121],"DNF":[124,132,157],"rule.":[125],"size":[129],"induced":[134],"EXPLORE":[136],"are":[137],"compared":[138],"those":[140,164],"eight":[142],"well-known":[143],"rule":[144,154,168],"learners.":[145],"Our":[146],"results":[147,158],"show":[148],"significantly":[160],"smaller":[161],"than":[163],"other":[167],"learners,":[169],"while":[170],"securing":[171],"comparable":[172],"or":[173],"even":[174],"better":[175],"Clearly,":[177],"computer-intensive":[181],"may":[183],"not":[184],"always":[185],"be":[186,199],"feasible.":[187],"Nevertheless,":[188],"this":[191],"study,":[192],"believe":[194],"should":[198],"many":[207],"problems.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
