{"id":"https://openalex.org/W3040858639","doi":"https://doi.org/10.24963/ijcai.2020/662","title":"Learning Optimal Decision Trees using Constraint Programming (Extended Abstract)","display_name":"Learning Optimal Decision Trees using Constraint Programming (Extended Abstract)","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3040858639","doi":"https://doi.org/10.24963/ijcai.2020/662","mag":"3040858639"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2020/662","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/662","pdf_url":"https://www.ijcai.org/proceedings/2020/0662.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2020/0662.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056109180","display_name":"H\u00e9l\u00e8ne Verhaeghe","orcid":"https://orcid.org/0000-0003-0233-4656"},"institutions":[{"id":"https://openalex.org/I95674353","display_name":"UCLouvain","ror":"https://ror.org/02495e989","country_code":"BE","type":"education","lineage":["https://openalex.org/I95674353"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"H\u00e9l\u00e8ne Verhaeghe","raw_affiliation_strings":["UCLouvain, Louvain-la-Neuve, Belgium","UCLouvain, ICTEAM, Place Sainte Barbe 2, 1348 Louvain-la-Neuve, Belgium"],"affiliations":[{"raw_affiliation_string":"UCLouvain, Louvain-la-Neuve, Belgium","institution_ids":["https://openalex.org/I95674353"]},{"raw_affiliation_string":"UCLouvain, ICTEAM, Place Sainte Barbe 2, 1348 Louvain-la-Neuve, Belgium","institution_ids":["https://openalex.org/I95674353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046889112","display_name":"Siegfried Nijssen","orcid":"https://orcid.org/0000-0003-2678-1266"},"institutions":[{"id":"https://openalex.org/I95674353","display_name":"UCLouvain","ror":"https://ror.org/02495e989","country_code":"BE","type":"education","lineage":["https://openalex.org/I95674353"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Siegfried Nijssen","raw_affiliation_strings":["UCLouvain, Louvain-la-Neuve, Belgium","UCLouvain, ICTEAM, Place Sainte Barbe 2, 1348 Louvain-la-Neuve, Belgium"],"affiliations":[{"raw_affiliation_string":"UCLouvain, Louvain-la-Neuve, Belgium","institution_ids":["https://openalex.org/I95674353"]},{"raw_affiliation_string":"UCLouvain, ICTEAM, Place Sainte Barbe 2, 1348 Louvain-la-Neuve, Belgium","institution_ids":["https://openalex.org/I95674353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018000450","display_name":"Gilles Pesant","orcid":"https://orcid.org/0000-0001-9797-0780"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Gilles Pesant","raw_affiliation_strings":["Polytechnique Montr\u00e9al, Montr\u00e9al, Canada"],"affiliations":[{"raw_affiliation_string":"Polytechnique Montr\u00e9al, Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046366918","display_name":"Claude-Guy Quimper","orcid":"https://orcid.org/0000-0002-5899-0217"},"institutions":[{"id":"https://openalex.org/I43406934","display_name":"Universit\u00e9 Laval","ror":"https://ror.org/04sjchr03","country_code":"CA","type":"education","lineage":["https://openalex.org/I43406934"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Claude-Guy Quimper","raw_affiliation_strings":["Universit\u00e9 Laval, Qu\u00e9bec, Canada"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Laval, Qu\u00e9bec, Canada","institution_ids":["https://openalex.org/I43406934"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065393744","display_name":"Pierre Schaus","orcid":"https://orcid.org/0000-0002-3153-8941"},"institutions":[{"id":"https://openalex.org/I95674353","display_name":"UCLouvain","ror":"https://ror.org/02495e989","country_code":"BE","type":"education","lineage":["https://openalex.org/I95674353"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Pierre Schaus","raw_affiliation_strings":["UCLouvain, Louvain-la-Neuve, Belgium","UCLouvain, ICTEAM, Place Sainte Barbe 2, 1348 Louvain-la-Neuve, Belgium"],"affiliations":[{"raw_affiliation_string":"UCLouvain, Louvain-la-Neuve, Belgium","institution_ids":["https://openalex.org/I95674353"]},{"raw_affiliation_string":"UCLouvain, ICTEAM, Place Sainte Barbe 2, 1348 Louvain-la-Neuve, Belgium","institution_ids":["https://openalex.org/I95674353"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5056109180"],"corresponding_institution_ids":["https://openalex.org/I95674353"],"apc_list":null,"apc_paid":null,"fwci":3.8943,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.94464172,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4765","last_page":"4769"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9973000288009644,"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"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9878000020980835,"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":0.7211825847625732},{"id":"https://openalex.org/keywords/constraint-programming","display_name":"Constraint programming","score":0.6750353574752808},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6087523698806763},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6068593859672546},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6042075753211975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5318854451179504},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5222449898719788},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5025062561035156},{"id":"https://openalex.org/keywords/constraint-satisfaction","display_name":"Constraint satisfaction","score":0.4900897741317749},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.4357922673225403},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.4278325140476227},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42252233624458313},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.3641493320465088},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18487772345542908},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1845528781414032},{"id":"https://openalex.org/keywords/stochastic-programming","display_name":"Stochastic programming","score":0.10624831914901733}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7211825847625732},{"id":"https://openalex.org/C173404611","wikidata":"https://www.wikidata.org/wiki/Q528588","display_name":"Constraint programming","level":3,"score":0.6750353574752808},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6087523698806763},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6068593859672546},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6042075753211975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5318854451179504},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5222449898719788},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5025062561035156},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.4900897741317749},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.4357922673225403},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.4278325140476227},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42252233624458313},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.3641493320465088},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18487772345542908},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1845528781414032},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.10624831914901733},{"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/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":3,"locations":[{"id":"doi:10.24963/ijcai.2020/662","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/662","pdf_url":"https://www.ijcai.org/proceedings/2020/0662.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:dial.uclouvain.be:boreal:235255","is_oa":true,"landing_page_url":"http://hdl.handle.net/2078.1/235255","pdf_url":null,"source":{"id":"https://openalex.org/S4306401974","display_name":"DIAL (Catholic University of Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"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":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI2020, Vol. 2020, no.1, p. 4765-4769 (2020)","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:publications.polymtl.ca:49455","is_oa":false,"landing_page_url":"https://publications.polymtl.ca/49455/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication de conf\u00e9rence"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2020/662","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/662","pdf_url":"https://www.ijcai.org/proceedings/2020/0662.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3040858639.pdf","grobid_xml":"https://content.openalex.org/works/W3040858639.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W139389950","https://openalex.org/W1534582130","https://openalex.org/W1539886244","https://openalex.org/W2057557663","https://openalex.org/W2149421006","https://openalex.org/W2154055561","https://openalex.org/W2604736517","https://openalex.org/W2740498871","https://openalex.org/W2749449796","https://openalex.org/W2807992309","https://openalex.org/W2901120714","https://openalex.org/W2904239671","https://openalex.org/W2997018541","https://openalex.org/W3096182600","https://openalex.org/W4297957988"],"related_works":["https://openalex.org/W2097415053","https://openalex.org/W1514298554","https://openalex.org/W1486916474","https://openalex.org/W4243324743","https://openalex.org/W1531664660","https://openalex.org/W2120647900","https://openalex.org/W1496100162","https://openalex.org/W4303044088","https://openalex.org/W1169406866","https://openalex.org/W4249103506"],"abstract_inverted_index":{"Decision":[0],"trees":[1,35,85],"are":[2,14,54],"among":[3],"the":[4,30,33,51,109,122,128,133,136,143,163,166],"most":[5],"popular":[6],"classification":[7,40],"models":[8,52],"in":[9,65,156,165],"machine":[10],"learning.":[11],"Traditionally,":[12],"they":[13],"learned":[15],"using":[16,86],"greedy":[17],"algorithms.":[18],"However,":[19],"such":[20],"algorithms":[21,69],"have":[22],"their":[23],"disadvantages:":[24],"it":[25,43],"is":[26,44],"difficult":[27],"to":[28,46,82,90,106,154],"limit":[29],"size":[31],"of":[32,111,124,130,135,145],"decision":[34,72,84],"while":[36,101],"maintaining":[37],"a":[38,62,79,157],"good":[39],"accuracy,":[41],"and":[42,67],"hard":[45],"impose":[47],"additional":[48],"constraints":[49],"on":[50,116],"that":[53,95],"learned.":[55],"For":[56],"these":[57],"reasons,":[58],"there":[59],"has":[60],"been":[61],"recent":[63],"interest":[64],"exact":[66],"flexible":[68,105],"for":[70,108,142],"learning":[71,167],"trees.":[73],"In":[74],"this":[75],"paper,":[76],"we":[77,93],"introduce":[78],"new":[80],"approach":[81,97,114,153],"learn":[83],"constraint":[87,139,151],"programming.":[88],"Compared":[89],"earlier":[91],"approaches,":[92],"show":[94],"our":[96,150],"obtains":[98],"better":[99],"performance,":[100],"still":[102],"being":[103],"sufficiently":[104],"allow":[107],"inclusion":[110],"constraints.":[112],"Our":[113],"builds":[115],"three":[117],"key":[118],"building":[119],"blocks:":[120],"(1)":[121],"use":[123,129,134],"AND/OR":[125],"search,":[126],"(2)":[127],"caching,":[131],"(3)":[132],"CoverSize":[137],"global":[138],"proposed":[140],"recently":[141],"problem":[144],"itemset":[146],"mining.":[147],"This":[148],"allows":[149],"programming":[152],"deal":[155],"much":[158],"more":[159],"efficient":[160],"way":[161],"with":[162],"decompositions":[164],"problem.":[168]},"counts_by_year":[{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}