{"id":"https://openalex.org/W1538523662","doi":"https://doi.org/10.1023/a:1017980905332","title":"Efficient Construction of Regression Trees with Range and Region Splitting","display_name":"Efficient Construction of Regression Trees with Range and Region Splitting","publication_year":2001,"publication_date":"2001-12-01","ids":{"openalex":"https://openalex.org/W1538523662","doi":"https://doi.org/10.1023/a:1017980905332","mag":"1538523662"},"language":"en","primary_location":{"id":"doi:10.1023/a:1017980905332","is_oa":true,"landing_page_url":"https://doi.org/10.1023/a:1017980905332","pdf_url":"https://link.springer.com/content/pdf/10.1023/A:1017980905332.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/10.1023/A:1017980905332.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078425375","display_name":"Yasuhiko Morimoto","orcid":"https://orcid.org/0000-0001-7130-2864"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Yasuhiko Morimoto","raw_affiliation_strings":["IBM Tokyo Research Laboratory, 1623-14 Shimotsuruma, Yamato, Kanagawa, 242-8502, Japan","IBM Tokyo Research Laboratory, Yamato Kanagawa, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Tokyo Research Laboratory, 1623-14 Shimotsuruma, Yamato, Kanagawa, 242-8502, Japan","institution_ids":["https://openalex.org/I4210145865"]},{"raw_affiliation_string":"IBM Tokyo Research Laboratory, Yamato Kanagawa, Japan#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089019772","display_name":"Hiromu Ishii","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiromu Ishii","raw_affiliation_strings":["Kyoto University, Yoshida-Honmachi, Sakyo Ward, Kyoto, 606-8501, Japan","Kyoto University, Yoshida-Honmachi, Sakyo Ward, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University, Yoshida-Honmachi, Sakyo Ward, Kyoto, 606-8501, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Kyoto University, Yoshida-Honmachi, Sakyo Ward, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049124202","display_name":"Shinichi Morishita","orcid":"https://orcid.org/0000-0002-6201-8885"},"institutions":[{"id":"https://openalex.org/I153327471","display_name":"Bunkyo University","ror":"https://ror.org/053h75930","country_code":"JP","type":"education","lineage":["https://openalex.org/I153327471"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinichi Morishita","raw_affiliation_strings":["University of Tokyo, 7-3-1 Hongo, Bunkyo Ward, Tokyo, 113-0033, Japan","University of Tokyo, Bunkyo-ward, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tokyo, 7-3-1 Hongo, Bunkyo Ward, Tokyo, 113-0033, Japan","institution_ids":["https://openalex.org/I153327471","https://openalex.org/I74801974"]},{"raw_affiliation_string":"University of Tokyo, Bunkyo-ward, Tokyo, Japan","institution_ids":["https://openalex.org/I153327471","https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":3.591,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.92568564,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"45","issue":"3","first_page":"235","last_page":"259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9959999918937683,"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":0.9776999950408936,"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/mathematics","display_name":"Mathematics","score":0.6421555280685425},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6069983839988708},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.5877614617347717},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5753718018531799},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5526509881019592},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5322098135948181},{"id":"https://openalex.org/keywords/plane","display_name":"Plane (geometry)","score":0.4370213747024536},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.42161762714385986},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.42142415046691895},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3905929923057556},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.30451852083206177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.29286205768585205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22805440425872803},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1767711043357849},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17645475268363953}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6421555280685425},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6069983839988708},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.5877614617347717},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5753718018531799},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5526509881019592},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5322098135948181},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.4370213747024536},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.42161762714385986},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.42142415046691895},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3905929923057556},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.30451852083206177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29286205768585205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22805440425872803},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1767711043357849},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17645475268363953},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1023/a:1017980905332","is_oa":true,"landing_page_url":"https://doi.org/10.1023/a:1017980905332","pdf_url":"https://link.springer.com/content/pdf/10.1023/A:1017980905332.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"}],"best_oa_location":{"id":"doi:10.1023/a:1017980905332","is_oa":true,"landing_page_url":"https://doi.org/10.1023/a:1017980905332","pdf_url":"https://link.springer.com/content/pdf/10.1023/A:1017980905332.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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323728","display_name":"Information-Technology Promotion Agency","ror":"https://ror.org/034e1cb35"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1538523662.pdf","grobid_xml":"https://content.openalex.org/works/W1538523662.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W168014760","https://openalex.org/W1483135265","https://openalex.org/W1484413656","https://openalex.org/W1504535149","https://openalex.org/W1506285740","https://openalex.org/W1513250031","https://openalex.org/W1515620500","https://openalex.org/W1522059164","https://openalex.org/W1556507321","https://openalex.org/W1576962511","https://openalex.org/W1578959085","https://openalex.org/W1589217992","https://openalex.org/W1594031697","https://openalex.org/W1601529450","https://openalex.org/W1604329830","https://openalex.org/W1637435380","https://openalex.org/W1970074386","https://openalex.org/W2000473687","https://openalex.org/W2006235059","https://openalex.org/W2011039300","https://openalex.org/W2013017122","https://openalex.org/W2030969394","https://openalex.org/W2048918596","https://openalex.org/W2125055259","https://openalex.org/W2136003390","https://openalex.org/W2149706766","https://openalex.org/W2166559705","https://openalex.org/W2951539267","https://openalex.org/W2998778915","https://openalex.org/W3085162807","https://openalex.org/W4231310712","https://openalex.org/W4248455063","https://openalex.org/W6631173008","https://openalex.org/W6634540114","https://openalex.org/W6650865510","https://openalex.org/W6843735874"],"related_works":["https://openalex.org/W4301895170","https://openalex.org/W2163760347","https://openalex.org/W2963936214","https://openalex.org/W2610026222","https://openalex.org/W2784024314","https://openalex.org/W1970485118","https://openalex.org/W2951633178","https://openalex.org/W2784494936","https://openalex.org/W1567342171","https://openalex.org/W2949921337"],"abstract_inverted_index":null,"counts_by_year":[{"year":2014,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2016-06-24T00:00:00"}