{"id":"https://openalex.org/W4293239756","doi":"https://doi.org/10.1186/s40537-022-00607-1","title":"The stability of different aggregation techniques in ensemble feature selection","display_name":"The stability of different aggregation techniques in ensemble feature selection","publication_year":2022,"publication_date":"2022-04-28","ids":{"openalex":"https://openalex.org/W4293239756","doi":"https://doi.org/10.1186/s40537-022-00607-1"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-022-00607-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-022-00607-1","pdf_url":"https://link.springer.com/content/pdf/10.1186/s40537-022-00607-1.pdf","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1186/s40537-022-00607-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069361371","display_name":"Reem Salman","orcid":"https://orcid.org/0000-0002-7210-9756"},"institutions":[{"id":"https://openalex.org/I199440890","display_name":"American University of Sharjah","ror":"https://ror.org/001g2fj96","country_code":"AE","type":"education","lineage":["https://openalex.org/I199440890"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Reem Salman","raw_affiliation_strings":["Department of Mathematics and Statistics, American University of Sharjah, Sharjah, 26666, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, American University of Sharjah, Sharjah, 26666, UAE","institution_ids":["https://openalex.org/I199440890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086190194","display_name":"Ayman Alzaatreh","orcid":"https://orcid.org/0000-0001-8282-3921"},"institutions":[{"id":"https://openalex.org/I199440890","display_name":"American University of Sharjah","ror":"https://ror.org/001g2fj96","country_code":"AE","type":"education","lineage":["https://openalex.org/I199440890"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Ayman Alzaatreh","raw_affiliation_strings":["Department of Mathematics and Statistics, American University of Sharjah, Sharjah, 26666, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, American University of Sharjah, Sharjah, 26666, UAE","institution_ids":["https://openalex.org/I199440890"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066909407","display_name":"Hana Sulieman","orcid":"https://orcid.org/0000-0003-4952-8298"},"institutions":[{"id":"https://openalex.org/I199440890","display_name":"American University of Sharjah","ror":"https://ror.org/001g2fj96","country_code":"AE","type":"education","lineage":["https://openalex.org/I199440890"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Hana Sulieman","raw_affiliation_strings":["Department of Mathematics and Statistics, American University of Sharjah, Sharjah, 26666, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, American University of Sharjah, Sharjah, 26666, UAE","institution_ids":["https://openalex.org/I199440890"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086190194"],"corresponding_institution_ids":["https://openalex.org/I199440890"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":4.0616,"has_fulltext":true,"cited_by_count":44,"citation_normalized_percentile":{"value":0.95167286,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"9","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9973999857902527,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9962000250816345,"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":0.834165096282959},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7618207931518555},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6771254539489746},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6742444634437561},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.547512948513031},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49967050552368164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49301597476005554},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4776940643787384},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47268396615982056},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.45843157172203064},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.44726577401161194},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4456614851951599},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.41038355231285095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3785896897315979},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13612061738967896}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.834165096282959},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7618207931518555},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6771254539489746},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6742444634437561},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.547512948513031},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49967050552368164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49301597476005554},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4776940643787384},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47268396615982056},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.45843157172203064},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.44726577401161194},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4456614851951599},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.41038355231285095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3785896897315979},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13612061738967896},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-022-00607-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-022-00607-1","pdf_url":"https://link.springer.com/content/pdf/10.1186/s40537-022-00607-1.pdf","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c3dec03e43254f8e9dd878b93379e7f6","is_oa":true,"landing_page_url":"https://doaj.org/article/c3dec03e43254f8e9dd878b93379e7f6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 9, Iss 1, Pp 1-23 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-022-00607-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-022-00607-1","pdf_url":"https://link.springer.com/content/pdf/10.1186/s40537-022-00607-1.pdf","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3076535372","display_name":null,"funder_award_id":"FRG21","funder_id":"https://openalex.org/F4320321430","funder_display_name":"American University of Sharjah"}],"funders":[{"id":"https://openalex.org/F4320321430","display_name":"American University of Sharjah","ror":"https://ror.org/001g2fj96"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293239756.pdf","grobid_xml":"https://content.openalex.org/works/W4293239756.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W140777655","https://openalex.org/W1567104431","https://openalex.org/W1968634175","https://openalex.org/W1972225389","https://openalex.org/W1975916424","https://openalex.org/W1995806857","https://openalex.org/W2017463373","https://openalex.org/W2032070217","https://openalex.org/W2038894244","https://openalex.org/W2043286242","https://openalex.org/W2047221353","https://openalex.org/W2051725773","https://openalex.org/W2083478957","https://openalex.org/W2084439920","https://openalex.org/W2091515885","https://openalex.org/W2095303436","https://openalex.org/W2107376270","https://openalex.org/W2109555487","https://openalex.org/W2117004913","https://openalex.org/W2119387367","https://openalex.org/W2125887389","https://openalex.org/W2146511318","https://openalex.org/W2164627280","https://openalex.org/W2165250079","https://openalex.org/W2345722845","https://openalex.org/W2399363639","https://openalex.org/W2408246687","https://openalex.org/W2533876155","https://openalex.org/W2556301080","https://openalex.org/W2571694483","https://openalex.org/W2606929086","https://openalex.org/W2761212090","https://openalex.org/W2795771402","https://openalex.org/W2797027150","https://openalex.org/W2806127525","https://openalex.org/W2906662890","https://openalex.org/W2916168844","https://openalex.org/W2948009788","https://openalex.org/W2955612236","https://openalex.org/W3014601769","https://openalex.org/W3088970574","https://openalex.org/W3110522452","https://openalex.org/W3126667798","https://openalex.org/W3128661044"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W20047544","https://openalex.org/W3089231081"],"abstract_inverted_index":{"Abstract":[0],"To":[1],"mitigate":[2],"the":[3,29,43,46,62,79,82,86,89,103,111,124,150,156,173,179,195,207,214],"curse":[4],"of":[5,45,64,81,88,105,128,155,209],"dimensionality":[6],"in":[7,17,39,148,191],"high-dimensional":[8],"datasets,":[9],"feature":[10,24,47,51,91,139,210],"selection":[11,25,48,52,140,211],"has":[12,72],"become":[13,55],"a":[14],"crucial":[15],"step":[16],"most":[18,192,215],"data":[19,196],"mining":[20],"applications.":[21],"However,":[22],"no":[23],"method":[26],"consistently":[27],"delivers":[28],"best":[30],"performance":[31],"across":[32],"different":[33,130,159],"domains.":[34],"For":[35],"this":[36,96,98,202],"reason":[37],"and":[38,114,126,152,164,189,217],"order":[40],"to":[41,75,95,101,186],"improve":[42],"stability":[44,87,113,125,151],"process,":[49],"ensemble":[50,65,90,157],"frameworks":[53],"have":[54,60],"increasingly":[56],"popular.":[57],"While":[58],"many":[59],"examined":[61,134],"construction":[63,208],"techniques":[66,132],"under":[67,135,158],"various":[68,122],"considerations,":[69],"little":[70],"work":[71,99],"been":[73],"done":[74],"shed":[76],"light":[77],"on":[78,85,110,178],"influence":[80],"aggregation":[83,108,131,166,184,219],"process":[84],"selection.":[92],"In":[93],"contribution":[94],"field,":[97],"aims":[100],"explore":[102],"impact":[104],"some":[106],"selected":[107],"strategies":[109,176],"ensemble\u2019s":[112],"accuracy.":[115],"Using":[116],"twelve":[117],"classification":[118],"real":[119],"datasets":[120],"from":[121],"domains,":[123],"accuracy":[127,153],"five":[129],"were":[133],"four":[136],"standard":[137],"filter":[138],"methods.":[141],"The":[142],"experimental":[143],"analysis":[144],"revealed":[145],"significant":[146],"differences":[147],"both":[149],"behavior":[154],"aggregations,":[160],"especially":[161],"between":[162],"score-based":[163,175],"rank-based":[165],"strategies.":[167],"Moreover,":[168],"it":[169],"was":[170],"observed":[171],"that":[172],"simpler":[174],"based":[177],"Arithmetic":[180],"Mean":[181],"or":[182,198],"L2-norm":[183],"appear":[185],"be":[187],"efficient":[188,216],"compelling":[190],"cases.":[193],"Given":[194],"structure":[197],"associated":[199],"application":[200],"domain,":[201],"work\u2019s":[203],"findings":[204],"can":[205],"guide":[206],"ensembles":[212],"using":[213],"suitable":[218],"rules.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2025-10-10T00:00:00"}