{"id":"https://openalex.org/W7124589063","doi":"https://doi.org/10.1504/ijiids.2026.152765","title":"A new feature selection approach based on new multi-exhaustive search","display_name":"A new feature selection approach based on new multi-exhaustive search","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7124589063","doi":"https://doi.org/10.1504/ijiids.2026.152765"},"language":"en","primary_location":{"id":"doi:10.1504/ijiids.2026.152765","doi":"https://doi.org/10.1504/ijiids.2026.152765","is_oa":true,"landing_page_url":"https://doi.org/10.1504/ijiids.2026.152765","pdf_url":null,"source":{"id":"https://openalex.org/S27556001","display_name":"International Journal of Intelligent Information and Database Systems","issn_l":"1751-5858","issn":["1751-5858","1751-5866"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Information and Database Systems","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1504/ijiids.2026.152765","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022396709","display_name":"Fatma Zohra Debba","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fatma Zohra Debba","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011787699","display_name":"Lynda Dib","orcid":"https://orcid.org/0009-0009-5177-945X","observed_orcids":["https://orcid.org/0009-0009-5177-945X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lynda Dib","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5123258231","display_name":"Khaled Berrahil","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khaled Berrahil","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0274537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"2","first_page":"173","last_page":"200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.23489999771118164,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.23489999771118164,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.1264999955892563,"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":0.12370000034570694,"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/feature-selection","display_name":"feature selection","score":1.0},{"id":"https://openalex.org/keywords/exhaustive-search","display_name":"exhaustive search","score":0.9810000061988831},{"id":"https://openalex.org/keywords/feature-subset-search","display_name":"feature subset search","score":0.6499999761581421},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.8450000286102295},{"id":"https://openalex.org/keywords/classification-accuracy","display_name":"classification accuracy","score":0.871999979019165},{"id":"https://openalex.org/keywords/feature-evaluation","display_name":"feature evaluation","score":0.460999995470047},{"id":"https://openalex.org/keywords/weka","display_name":"WEKA","score":0.593999981880188}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8337000012397766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6586999893188477},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6492000222206116},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4706999957561493},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4246000051498413},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3926999866962433},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3709999918937683},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3483000099658966},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2865000069141388}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1504/ijiids.2026.152765","doi":"https://doi.org/10.1504/ijiids.2026.152765","is_oa":true,"landing_page_url":"https://doi.org/10.1504/ijiids.2026.152765","pdf_url":null,"source":{"id":"https://openalex.org/S27556001","display_name":"International Journal of Intelligent Information and Database Systems","issn_l":"1751-5858","issn":["1751-5858","1751-5866"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Information and Database Systems","raw_type":"journal-article"},{"id":"doi:10.1504/ijiids.2026.10075729","doi":"https://doi.org/10.1504/ijiids.2026.10075729","is_oa":true,"landing_page_url":"https://doi.org/10.1504/ijiids.2026.10075729","pdf_url":null,"source":{"id":"https://openalex.org/S27556001","display_name":"International Journal of Intelligent Information and Database Systems","issn_l":"1751-5858","issn":["1751-5858","1751-5866"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Information and Database Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1504/ijiids.2026.152765","doi":"https://doi.org/10.1504/ijiids.2026.152765","is_oa":true,"landing_page_url":"https://doi.org/10.1504/ijiids.2026.152765","pdf_url":null,"source":{"id":"https://openalex.org/S27556001","display_name":"International Journal of Intelligent Information and Database Systems","issn_l":"1751-5858","issn":["1751-5858","1751-5866"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Information and Database Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1512448514","https://openalex.org/W2594138535","https://openalex.org/W2069321575","https://openalex.org/W4405961507","https://openalex.org/W7098797956","https://openalex.org/W3174725605","https://openalex.org/W4317382989","https://openalex.org/W7128161021","https://openalex.org/W2804966426","https://openalex.org/W4311576096"],"abstract_inverted_index":{"Feature":[0],"Selection":[1],"(FS)":[2],"improves":[3],"the":[4,27,57,119,134],"classification":[5,139],"model":[6],"performance":[7,80],"and":[8,19,42,89,111,141],"comprehensibility":[9],"by":[10],"selecting":[11],"informative":[12],"feature":[13,17],"subsets.":[14],"It":[15],"involves":[16],"evaluators":[18],"search":[20,23,53],"methods.":[21],"Exhaustive":[22],"(ES)":[24],"guarantees":[25],"finding":[26],"optimal":[28],"subset,":[29],"but":[30],"is":[31,76],"computationally":[32],"unfeasible,":[33],"especially":[34],"with":[35,91,100],"large":[36],"datasets.":[37],"To":[38],"overcome":[39],"this":[40,48],"drawback":[41],"take":[43],"advantage":[44],"of":[45,81,133,138,143],"its":[46],"optimality,":[47],"paper":[49],"proposes":[50],"a":[51,66,68],"multi-exhaustive":[52],"(MES)":[54],"to":[55,118],"find":[56],"best":[58],"subset":[59],"in":[60,96,131,136],"very":[61],"low":[62],"computational":[63],"time.":[64],"As":[65],"result,":[67],"new":[69],"FS":[70,93,102,122,129],"approach":[71],"based":[72],"on":[73],"MES":[74],"(FS-MES)":[75],"also":[77],"proposed.":[78],"The":[79],"FS-MES":[82,106,124],"was":[83],"evaluated":[84],"using":[85],"11":[86],"benchmark":[87],"datasets":[88,135],"compared":[90],"13":[92],"approaches":[94],"implemented":[95],"WEKA.":[97],"A":[98],"comparison":[99],"ES-based":[101],"(FS-ES)":[103],"demonstrated":[104],"that":[105],"significantly":[107],"reduced":[108],"computation":[109],"time":[110],"evaluations":[112],"while":[113],"maintaining":[114],"competitive":[115],"accuracy.":[116],"Compared":[117],"12":[120],"other":[121,128],"methods,":[123],"effectively":[125],"outperformed":[126],"all":[127],"methods":[130],"most":[132],"terms":[137],"accuracy":[140],"number":[142],"selected":[144],"features.":[145]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-01-19T00:00:00"}