{"id":"https://openalex.org/W1513024403","doi":"https://doi.org/10.1016/b978-1-55860-247-2.50050-4","title":"Constructive Induction Using a Non-Greedy Strategy for Feature Selection","display_name":"Constructive Induction Using a Non-Greedy Strategy for Feature Selection","publication_year":1992,"publication_date":"1992-01-01","ids":{"openalex":"https://openalex.org/W1513024403","doi":"https://doi.org/10.1016/b978-1-55860-247-2.50050-4","mag":"1513024403"},"language":"en","primary_location":{"id":"doi:10.1016/b978-1-55860-247-2.50050-4","is_oa":false,"landing_page_url":"https://doi.org/10.1016/b978-1-55860-247-2.50050-4","pdf_url":null,"source":{"id":"https://openalex.org/S4306463230","display_name":"Elsevier eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning Proceedings 1992","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001327675","display_name":"Arlindo L. Oliveira","orcid":"https://orcid.org/0000-0001-8638-5594"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Arlindo L. Oliveira","raw_affiliation_strings":["Dept. of EECS, UC Berkeley, Berkeley CA 94720"],"affiliations":[{"raw_affiliation_string":"Dept. of EECS, UC Berkeley, Berkeley CA 94720","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088660554","display_name":"Alberto Sangiovanni\u2010Vincentelli","orcid":"https://orcid.org/0000-0003-1298-8389"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alberto Sangiovanni-Vincentelli","raw_affiliation_strings":["Dept. of EECS, UC Berkeley, Berkeley CA 94720"],"affiliations":[{"raw_affiliation_string":"Dept. of EECS, UC Berkeley, Berkeley CA 94720","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001327675","https://openalex.org/A5088660554"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.17206538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"355","last_page":"360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.998199999332428,"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/T11269","display_name":"Algorithms and Data Compression","score":0.998199999332428,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.996399998664856,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9958000183105469,"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/constructive","display_name":"Constructive","score":0.8375649452209473},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6189178824424744},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6093012094497681},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5923702716827393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5832434296607971},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5777889490127563},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5724618434906006},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5441149473190308},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4818795323371887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4790033996105194},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42431530356407166},{"id":"https://openalex.org/keywords/rule-induction","display_name":"Rule induction","score":0.4240264892578125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39312243461608887},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3274756669998169},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11896520853042603},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.06934916973114014},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.05256614089012146}],"concepts":[{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.8375649452209473},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6189178824424744},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6093012094497681},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5923702716827393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5832434296607971},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5777889490127563},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5724618434906006},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5441149473190308},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4818795323371887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4790033996105194},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42431530356407166},{"id":"https://openalex.org/C2776780472","wikidata":"https://www.wikidata.org/wiki/Q7378945","display_name":"Rule induction","level":2,"score":0.4240264892578125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39312243461608887},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3274756669998169},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11896520853042603},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.06934916973114014},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.05256614089012146},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/b978-1-55860-247-2.50050-4","is_oa":false,"landing_page_url":"https://doi.org/10.1016/b978-1-55860-247-2.50050-4","pdf_url":null,"source":{"id":"https://openalex.org/S4306463230","display_name":"Elsevier eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning Proceedings 1992","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.17.758","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://tahoe.inesc.pt/~aml/publications/ml92_def.ps.gz","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W23418094","https://openalex.org/W82250859","https://openalex.org/W206415041","https://openalex.org/W1570286060","https://openalex.org/W1600175013","https://openalex.org/W1603253675","https://openalex.org/W1738398458","https://openalex.org/W1999038366","https://openalex.org/W2011039300","https://openalex.org/W2066789935","https://openalex.org/W2089967664","https://openalex.org/W2105761964","https://openalex.org/W2106950603","https://openalex.org/W2128703045","https://openalex.org/W2149706766","https://openalex.org/W4236137412","https://openalex.org/W4241336979","https://openalex.org/W6635948202"],"related_works":["https://openalex.org/W4293525103","https://openalex.org/W2374344280","https://openalex.org/W2345184372","https://openalex.org/W3200179079","https://openalex.org/W2546942002","https://openalex.org/W3163334550","https://openalex.org/W2970216048","https://openalex.org/W2316780152","https://openalex.org/W2385233088","https://openalex.org/W2382607599"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}