{"id":"https://openalex.org/W2151103537","doi":"https://doi.org/10.5430/air.v2n2p77","title":"An adaptive methodology to discretize and select features","display_name":"An adaptive methodology to discretize and select features","publication_year":2013,"publication_date":"2013-02-17","ids":{"openalex":"https://openalex.org/W2151103537","doi":"https://doi.org/10.5430/air.v2n2p77","mag":"2151103537"},"language":"en","primary_location":{"id":"doi:10.5430/air.v2n2p77","is_oa":true,"landing_page_url":"https://doi.org/10.5430/air.v2n2p77","pdf_url":"http://www.sciedu.ca/journal/index.php/air/article/download/1331/1361","source":{"id":"https://openalex.org/S4210167461","display_name":"Artificial Intelligence Research","issn_l":"1927-6974","issn":["1927-6974","1927-6982"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320842","host_organization_name":"Sciedu Press","host_organization_lineage":["https://openalex.org/P4310320842"],"host_organization_lineage_names":["Sciedu Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"http://www.sciedu.ca/journal/index.php/air/article/download/1331/1361","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037716486","display_name":"Miguel \u00c1ngel \u00c1lvarez de la Concepci\u00f3n","orcid":"https://orcid.org/0000-0002-4812-5190"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Miguel \u00c1ngel \u00c1lvarez de la Concepci\u00f3n","raw_affiliation_strings":["Computer Languages and Systems Department, University of Seville"],"affiliations":[{"raw_affiliation_string":"Computer Languages and Systems Department, University of Seville","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052227798","display_name":"Luis Gonz\u00e1lez Abril","orcid":"https://orcid.org/0000-0002-2532-0946"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Luis Gonz\u00e1lez Abril","raw_affiliation_strings":["Department of Applied Economics I, University of Seville"],"affiliations":[{"raw_affiliation_string":"Department of Applied Economics I, University of Seville","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000949326","display_name":"Luis Miguel Soria Morillo","orcid":"https://orcid.org/0000-0002-6794-9179"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Luis Miguel Soria Morillo","raw_affiliation_strings":["Computer Languages and Systems Department, University of Seville"],"affiliations":[{"raw_affiliation_string":"Computer Languages and Systems Department, University of Seville","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020398273","display_name":"Juan Antonio Ortega","orcid":"https://orcid.org/0000-0001-9095-7241"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan Antonio Ortega Ram\u00edrez","raw_affiliation_strings":["Computer Languages and Systems Department, University of Seville"],"affiliations":[{"raw_affiliation_string":"Computer Languages and Systems Department, University of Seville","institution_ids":["https://openalex.org/I79238269"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037716486"],"corresponding_institution_ids":["https://openalex.org/I79238269"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12195659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9965999722480774,"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":0.9965999722480774,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9919999837875366,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9700999855995178,"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":0.7602893114089966},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5886743664741516},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.5724695324897766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5712030529975891},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5456006526947021},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4923804998397827},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4645865261554718},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32244741916656494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14379048347473145}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7602893114089966},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5886743664741516},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.5724695324897766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5712030529975891},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5456006526947021},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4923804998397827},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4645865261554718},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32244741916656494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14379048347473145},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5430/air.v2n2p77","is_oa":true,"landing_page_url":"https://doi.org/10.5430/air.v2n2p77","pdf_url":"http://www.sciedu.ca/journal/index.php/air/article/download/1331/1361","source":{"id":"https://openalex.org/S4210167461","display_name":"Artificial Intelligence Research","issn_l":"1927-6974","issn":["1927-6974","1927-6982"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320842","host_organization_name":"Sciedu Press","host_organization_lineage":["https://openalex.org/P4310320842"],"host_organization_lineage_names":["Sciedu Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Research","raw_type":"journal-article"},{"id":"pmh:oai:dnet:idus________::f044f3c35a8517f1130832c28c57bf0d","is_oa":false,"landing_page_url":"https://idus.us.es/handle/11441/55021","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.5430/air.v2n2p77","is_oa":true,"landing_page_url":"https://doi.org/10.5430/air.v2n2p77","pdf_url":"http://www.sciedu.ca/journal/index.php/air/article/download/1331/1361","source":{"id":"https://openalex.org/S4210167461","display_name":"Artificial Intelligence Research","issn_l":"1927-6974","issn":["1927-6974","1927-6982"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320842","host_organization_name":"Sciedu Press","host_organization_lineage":["https://openalex.org/P4310320842"],"host_organization_lineage_names":["Sciedu Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Research","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7300000190734863,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2151103537.pdf","grobid_xml":"https://content.openalex.org/works/W2151103537.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W28415901","https://openalex.org/W80247037","https://openalex.org/W1827023954","https://openalex.org/W1968650337","https://openalex.org/W1978176240","https://openalex.org/W1982589161","https://openalex.org/W2043100548","https://openalex.org/W2048178552","https://openalex.org/W2050850106","https://openalex.org/W2071332125","https://openalex.org/W2074879446","https://openalex.org/W2077922582","https://openalex.org/W2094023061","https://openalex.org/W2104052270","https://openalex.org/W2119360506","https://openalex.org/W2119387367","https://openalex.org/W2135090752","https://openalex.org/W2169482235","https://openalex.org/W2170567107","https://openalex.org/W2494353732","https://openalex.org/W2497263925","https://openalex.org/W4241039965"],"related_works":["https://openalex.org/W2364741597","https://openalex.org/W1492103595","https://openalex.org/W1864774435","https://openalex.org/W946352265","https://openalex.org/W3020787026","https://openalex.org/W2334479858","https://openalex.org/W2799209613","https://openalex.org/W1971388572","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"A":[0,32],"lot":[1],"of":[2,10,51,72,89,98],"significant":[3],"data":[4,19],"describing":[5],"the":[6,49,57,69,87],"behavior":[7],"or/and":[8],"actions":[9],"systems":[11],"can":[12,26],"be":[13,27],"collected":[14],"in":[15,29,95],"several":[16,30],"domains.":[17],"These":[18],"define":[20],"some":[21],"aspects,":[22],"called":[23],"features,":[24],"that":[25],"clustered":[28],"classes.":[31],"qualitative":[33],"or":[34,44],"quantitative":[35],"value":[36],"for":[37,55],"each":[38],"feature":[39],"is":[40,63,68,82],"stored":[41],"from":[42],"measurements":[43],"observations.":[45],"In":[46],"this":[47,73],"paper,":[48],"problem":[50],"finding":[52],"independent":[53],"features":[54,67,81],"getting":[56],"best":[58],"accuracy":[59],"on":[60],"classification":[61],"problems":[62],"considered.":[64],"Obtaining":[65],"these":[66],"main":[70],"objective":[71],"work,":[74],"where":[75,101],"an":[76],"automatic":[77],"method":[78,85],"to":[79,92],"select":[80],"proposed.":[83],"The":[84],"extends":[86],"functionality":[88],"Ameva":[90],"coefficient":[91],"use":[93],"it":[94,102],"other":[96],"tasks":[97],"machine":[99],"learning":[100],"has":[103],"not":[104],"been":[105],"defined.":[106]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
