{"id":"https://openalex.org/W2765430247","doi":"https://doi.org/10.1109/comapp.2017.8079769","title":"Empirical Evaluation of the Performance of Feature Selection Approaches on Random Forest","display_name":"Empirical Evaluation of the Performance of Feature Selection Approaches on Random Forest","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2765430247","doi":"https://doi.org/10.1109/comapp.2017.8079769","mag":"2765430247"},"language":"en","primary_location":{"id":"doi:10.1109/comapp.2017.8079769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comapp.2017.8079769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Computer and Applications (ICCA)","raw_type":"proceedings-article"},"type":"article","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/A5043358071","display_name":"Smitha S Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085930","display_name":"Heriot-Watt University Malaysia","ror":"https://ror.org/0059w0420","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210085930"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Smitha S Kumar","raw_affiliation_strings":["School of Mathematical and Computer Science, Heriot Watt University"],"affiliations":[{"raw_affiliation_string":"School of Mathematical and Computer Science, Heriot Watt University","institution_ids":["https://openalex.org/I4210085930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071903750","display_name":"Talal Shaikh","orcid":"https://orcid.org/0000-0003-4532-7341"},"institutions":[{"id":"https://openalex.org/I4210085930","display_name":"Heriot-Watt University Malaysia","ror":"https://ror.org/0059w0420","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210085930"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Talal Shaikh","raw_affiliation_strings":["School of Mathematical and Computer Science, Heriot Watt University"],"affiliations":[{"raw_affiliation_string":"School of Mathematical and Computer Science, Heriot Watt University","institution_ids":["https://openalex.org/I4210085930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043358071"],"corresponding_institution_ids":["https://openalex.org/I4210085930"],"apc_list":null,"apc_paid":null,"fwci":4.3351,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.94347496,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"227","last_page":"231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9678000211715698,"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/T10057","display_name":"Face and Expression Recognition","score":0.9574999809265137,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.8685755133628845},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.8218035697937012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7219262719154358},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6687615513801575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6223441362380981},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5883896350860596},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5189068913459778},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5153719782829285},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.497910737991333},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4956449270248413},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.494078665971756},{"id":"https://openalex.org/keywords/minimum-redundancy-feature-selection","display_name":"Minimum redundancy feature selection","score":0.46959081292152405},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.43540093302726746},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42657235264778137},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39923667907714844}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8685755133628845},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8218035697937012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7219262719154358},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6687615513801575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6223441362380981},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5883896350860596},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5189068913459778},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5153719782829285},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.497910737991333},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4956449270248413},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.494078665971756},{"id":"https://openalex.org/C16811321","wikidata":"https://www.wikidata.org/wiki/Q17138905","display_name":"Minimum redundancy feature selection","level":3,"score":0.46959081292152405},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.43540093302726746},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42657235264778137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39923667907714844},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comapp.2017.8079769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comapp.2017.8079769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Computer and Applications (ICCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1517228774","https://openalex.org/W1608549042","https://openalex.org/W2000478205","https://openalex.org/W2115876615","https://openalex.org/W2132982517","https://openalex.org/W2133218970","https://openalex.org/W2156665896","https://openalex.org/W2389088196","https://openalex.org/W2613354317","https://openalex.org/W3120740533","https://openalex.org/W4285719527","https://openalex.org/W6710734855"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241","https://openalex.org/W2354420595"],"abstract_inverted_index":{"Medical":[0],"data":[1,25],"contain":[2],"very":[3],"valuable":[4],"information":[5],"which":[6],"can":[7,36],"save":[8],"many":[9],"lives":[10],"if":[11],"it":[12],"is":[13],"analyzed":[14],"and":[15,32,47,100,117],"utilized":[16],"efficiently.":[17],"Efficient":[18],"analysis":[19],"of":[20,24,30,40,58,71,114],"this":[21,33,64,119],"large":[22],"volume":[23],"demands":[26],"the":[27,38,41,56,112,115,121,125,131],"right":[28],"choice":[29],"predictors":[31],"in":[34,61,78,118],"turn":[35],"impact":[37],"accuracy":[39],"decision":[42],"support":[43],"system.":[44],"Dimensionality":[45],"reduction":[46],"feature":[48,73,85,91,98,108,127],"subset":[49],"selection":[50,74,86,92,103,109,128],"are":[51,89],"two":[52],"techniques":[53,87],"to":[54],"reduce":[55],"number":[57],"features":[59,122],"used":[60],"classification.":[62],"In":[63],"paper":[65],"we":[66],"perform":[67],"an":[68],"empirical":[69],"evaluation":[70],"four":[72],"methods":[75,110],"when":[76],"applied":[77,88],"conjunction":[79],"with":[80],"Random":[81,94],"Forest":[82],"classifier.":[83],"The":[84],"Relief":[90],"algorithm,":[93],"forest":[95],"selector,":[96],"Recursive":[97],"elimination":[99],"Boruta":[101,126],"Feature":[102],"algorithm.":[104],"Results":[105],"show":[106],"that":[107],"boosts":[111],"performance":[113],"classifiers":[116],"case":[120],"selected":[123],"by":[124],"algorithm":[129],"gives":[130],"best":[132],"results.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
