{"id":"https://openalex.org/W2160603220","doi":"https://doi.org/10.1007/s10994-007-0717-6","title":"Optimal dyadic decision trees","display_name":"Optimal dyadic decision trees","publication_year":2007,"publication_date":"2007-01-30","ids":{"openalex":"https://openalex.org/W2160603220","doi":"https://doi.org/10.1007/s10994-007-0717-6","mag":"2160603220"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-007-0717-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-007-0717-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-007-0717-6.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":null,"license_id":null,"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":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-007-0717-6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089296511","display_name":"Gilles Blanchard","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"G. Blanchard","raw_affiliation_strings":["Fraunhofer First (IDA), K\u00e9kul\u00e9str. 7, D-12489, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer First (IDA), K\u00e9kul\u00e9str. 7, D-12489, Berlin, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068057184","display_name":"Christin Sch\u00e4fer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. Sch\u00e4fer","raw_affiliation_strings":["Fraunhofer First (IDA), K\u00e9kul\u00e9str. 7, D-12489, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer First (IDA), K\u00e9kul\u00e9str. 7, D-12489, Berlin, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030246024","display_name":"Yves Rozenholc","orcid":"https://orcid.org/0000-0002-3907-5101"},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4387154995","display_name":"Math\u00e9matiques Appliqu\u00e9es \u00e0 Paris 5","ror":"https://ror.org/04yrrdj53","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I4387154995"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Y. Rozenholc","raw_affiliation_strings":["Applied Mathematics Department (MAP5), Universit\u00e9 Ren\u00e9 Descartes, 45, rue des Saints-P\u00e8res, 75270, Paris Cedex, France"],"affiliations":[{"raw_affiliation_string":"Applied Mathematics Department (MAP5), Universit\u00e9 Ren\u00e9 Descartes, 45, rue des Saints-P\u00e8res, 75270, Paris Cedex, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4387154995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112005638","display_name":"K. M\u00fcller","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"K.-R. M\u00fcller","raw_affiliation_strings":["Computer Science Department, Technical University of Berlin, Franklinstr. 28/29, 10587, Berlin, Germany","Fraunhofer First (IDA), K\u00e9kul\u00e9str. 7, D-12489, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Berlin, Franklinstr. 28/29, 10587, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]},{"raw_affiliation_string":"Fraunhofer First (IDA), K\u00e9kul\u00e9str. 7, D-12489, Berlin, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089296511"],"corresponding_institution_ids":[],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":13.2534,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.98437004,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"66","issue":"2-3","first_page":"209","last_page":"241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9958999752998352,"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":0.9932000041007996,"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/decision-tree","display_name":"Decision tree","score":0.7291681170463562},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7016030550003052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6508511304855347},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.5847769975662231},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5687239170074463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5536874532699585},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5141299366950989},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5018188953399658},{"id":"https://openalex.org/keywords/optimal-decision","display_name":"Optimal decision","score":0.4523528218269348},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38951027393341064},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.3642515540122986},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3438187837600708},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2761005759239197}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7291681170463562},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7016030550003052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6508511304855347},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.5847769975662231},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5687239170074463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5536874532699585},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5141299366950989},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5018188953399658},{"id":"https://openalex.org/C150325174","wikidata":"https://www.wikidata.org/wiki/Q4335500","display_name":"Optimal decision","level":3,"score":0.4523528218269348},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38951027393341064},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.3642515540122986},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3438187837600708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2761005759239197},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10994-007-0717-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-007-0717-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-007-0717-6.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},{"id":"pmh:oai:fraunhofer.de:N-59430","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-59430.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer FIRST","raw_type":"Journal Article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/213122","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/213122","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.1007/s10994-007-0717-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-007-0717-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-007-0717-6.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":null,"license_id":null,"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":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308269","display_name":"Alexander von Humboldt-Stiftung","ror":"https://ror.org/012kf4317"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2160603220.pdf","grobid_xml":"https://content.openalex.org/works/W2160603220.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W172574161","https://openalex.org/W201917955","https://openalex.org/W1484867920","https://openalex.org/W1540007258","https://openalex.org/W1564947197","https://openalex.org/W1594031697","https://openalex.org/W1983563203","https://openalex.org/W1996268356","https://openalex.org/W2010019107","https://openalex.org/W2017685719","https://openalex.org/W2040335964","https://openalex.org/W2063368770","https://openalex.org/W2067893494","https://openalex.org/W2099111195","https://openalex.org/W2120103453","https://openalex.org/W2125055259","https://openalex.org/W2142244578","https://openalex.org/W2150796457","https://openalex.org/W2154408756","https://openalex.org/W2166318900","https://openalex.org/W2167503608","https://openalex.org/W2168110243","https://openalex.org/W2322150470","https://openalex.org/W2415715200","https://openalex.org/W2911964244","https://openalex.org/W2912719536","https://openalex.org/W3085162807","https://openalex.org/W3100743579","https://openalex.org/W6843735874"],"related_works":["https://openalex.org/W1982169401","https://openalex.org/W2591672004","https://openalex.org/W4319437832","https://openalex.org/W2030894524","https://openalex.org/W1648970942","https://openalex.org/W4243803609","https://openalex.org/W4387869645","https://openalex.org/W2372931108","https://openalex.org/W2011862483","https://openalex.org/W3109345379"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}