{"id":"https://openalex.org/W4244038942","doi":"https://doi.org/10.1007/bf00058613","title":"Efficient incremental induction of decision trees","display_name":"Efficient incremental induction of decision trees","publication_year":1996,"publication_date":"1996-09-01","ids":{"openalex":"https://openalex.org/W4244038942","doi":"https://doi.org/10.1007/bf00058613"},"language":"en","primary_location":{"id":"doi:10.1007/bf00058613","is_oa":true,"landing_page_url":"https://doi.org/10.1007/bf00058613","pdf_url":"https://link.springer.com/content/pdf/10.1007/BF00058613.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/BF00058613.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068179203","display_name":"Dimitris Kalles","orcid":"https://orcid.org/0000-0003-0364-5966"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Dimitrios Kalles","raw_affiliation_strings":["Department of Computation, UMIST, PO Box 88, M60 1QD, Manchester, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computation, UMIST, PO Box 88, M60 1QD, Manchester, U.K","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083607188","display_name":"Tim Morris","orcid":"https://orcid.org/0000-0001-5334-4913"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tim Morris","raw_affiliation_strings":["Department of Computation, UMIST, PO Box 88, M60 1QD, Manchester, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computation, UMIST, PO Box 88, M60 1QD, Manchester, U.K","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068179203"],"corresponding_institution_ids":["https://openalex.org/I28407311"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.708,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.8858273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"24","issue":"3","first_page":"231","last_page":"242"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9896000027656555,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9896000027656555,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9804999828338623,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7609911561012268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.630918562412262},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5590996146202087},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.5527316331863403},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5511295199394226},{"id":"https://openalex.org/keywords/id3-algorithm","display_name":"ID3 algorithm","score":0.5266808271408081},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.488722562789917},{"id":"https://openalex.org/keywords/alternating-decision-tree","display_name":"Alternating decision tree","score":0.4811078906059265},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4646422863006592},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4621914327144623},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.44143691658973694},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4363940358161926},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36996549367904663},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25869452953338623}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7609911561012268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.630918562412262},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5590996146202087},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.5527316331863403},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5511295199394226},{"id":"https://openalex.org/C183931066","wikidata":"https://www.wikidata.org/wiki/Q1653378","display_name":"ID3 algorithm","level":5,"score":0.5266808271408081},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.488722562789917},{"id":"https://openalex.org/C120136583","wikidata":"https://www.wikidata.org/wiki/Q4736414","display_name":"Alternating decision tree","level":5,"score":0.4811078906059265},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4646422863006592},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4621914327144623},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.44143691658973694},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4363940358161926},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36996549367904663},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25869452953338623},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/bf00058613","is_oa":true,"landing_page_url":"https://doi.org/10.1007/bf00058613","pdf_url":"https://link.springer.com/content/pdf/10.1007/BF00058613.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:CiteSeerX.psu:10.1.1.21.8054","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.8054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://rd.aheadrm.com/docs/1996_MLJ_Incremental.pdf","raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/104c5f99-db01-46af-8733-724d5aab1de6","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/104c5f99-db01-46af-8733-724d5aab1de6","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kalles, D & Morris, T 1996, 'Efficient incremental induction of decision trees', Machine Learning, vol. 24, no. 3, pp. 231-242.","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:publications/104c5f99-db01-46af-8733-724d5aab1de6","is_oa":false,"landing_page_url":"https://www.research.manchester.ac.uk/portal/en/publications/efficient-incremental-induction-of-decision-trees(104c5f99-db01-46af-8733-724d5aab1de6).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kalles, D & Morris, T 1996, 'Efficient incremental induction of decision trees', Machine Learning, vol. 24, no. 3, pp. 231-242.","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1007/bf00058613","is_oa":true,"landing_page_url":"https://doi.org/10.1007/bf00058613","pdf_url":"https://link.springer.com/content/pdf/10.1007/BF00058613.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":[{"display_name":"Peace, Justice and strong institutions","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4244038942.pdf","grobid_xml":"https://content.openalex.org/works/W4244038942.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1514209571","https://openalex.org/W1573772481","https://openalex.org/W1583837637","https://openalex.org/W1594031697","https://openalex.org/W1970074386","https://openalex.org/W1987889901","https://openalex.org/W2112841646","https://openalex.org/W2115218192","https://openalex.org/W2125055259","https://openalex.org/W2133431834","https://openalex.org/W2146424733","https://openalex.org/W2159047538","https://openalex.org/W2160245746","https://openalex.org/W2335322260","https://openalex.org/W3025234602","https://openalex.org/W4214671568","https://openalex.org/W4234536190","https://openalex.org/W6603945526","https://openalex.org/W6606773718","https://openalex.org/W6787685208","https://openalex.org/W6817491142","https://openalex.org/W6829715177","https://openalex.org/W6843735874"],"related_works":["https://openalex.org/W1648970942","https://openalex.org/W2030894524","https://openalex.org/W2811372817","https://openalex.org/W2356463514","https://openalex.org/W4387869645","https://openalex.org/W2120748120","https://openalex.org/W2591672004","https://openalex.org/W1982169401","https://openalex.org/W2143508752","https://openalex.org/W2363542475"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}