{"id":"https://openalex.org/W3155131285","doi":"https://doi.org/10.1109/tem.2021.3065699","title":"Feature and Subfeature Selection for Classification Using Correlation Coefficient and Fuzzy Model","display_name":"Feature and Subfeature Selection for Classification Using Correlation Coefficient and Fuzzy Model","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3155131285","doi":"https://doi.org/10.1109/tem.2021.3065699","mag":"3155131285"},"language":"en","primary_location":{"id":"doi:10.1109/tem.2021.3065699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tem.2021.3065699","pdf_url":null,"source":{"id":"https://openalex.org/S154533451","display_name":"IEEE Transactions on Engineering Management","issn_l":"0018-9391","issn":["0018-9391","1558-0040"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Engineering Management","raw_type":"journal-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/A5056701836","display_name":"Hemanta Kumar Bhuyan","orcid":"https://orcid.org/0000-0002-9712-7280"},"institutions":[{"id":"https://openalex.org/I149313025","display_name":"Vignan's Foundation for Science, Technology & Research","ror":"https://ror.org/03bzf1g85","country_code":"IN","type":"education","lineage":["https://openalex.org/I149313025"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Hemanta Kumar Bhuyan","raw_affiliation_strings":["Department of Information Technology, Vignan&#x0027;s Foundation for Science, Technology and Research (Deemed to be University), Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Vignan&#x0027;s Foundation for Science, Technology and Research (Deemed to be University), Andhra Pradesh, India","institution_ids":["https://openalex.org/I149313025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036945704","display_name":"Chinmay Chakraborty","orcid":"https://orcid.org/0000-0002-4385-0975"},"institutions":[{"id":"https://openalex.org/I115715567","display_name":"Birla Institute of Technology, Mesra","ror":"https://ror.org/028vtqb15","country_code":"IN","type":"education","lineage":["https://openalex.org/I115715567"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dr. Chinmay Chakraborty","raw_affiliation_strings":["Electronics and Communication Engineering, Birla Institute of Technology Mesra, Jharhand, India"],"affiliations":[{"raw_affiliation_string":"Electronics and Communication Engineering, Birla Institute of Technology Mesra, Jharhand, India","institution_ids":["https://openalex.org/I115715567"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035240808","display_name":"Subhendu Kumar Pani","orcid":"https://orcid.org/0000-0001-9595-0567"},"institutions":[{"id":"https://openalex.org/I4028839","display_name":"Biju Patnaik University of Technology","ror":"https://ror.org/03vqjtg68","country_code":"IN","type":"education","lineage":["https://openalex.org/I4028839"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subhendu Kumar Pani","raw_affiliation_strings":["Department of Computer Science and Engineering, Orissa Engineering College, Biju Patnaik University of Technology, Odisha, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Orissa Engineering College, Biju Patnaik University of Technology, Odisha, India","institution_ids":["https://openalex.org/I4028839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040100735","display_name":"Vinayakumar Ravi","orcid":"https://orcid.org/0000-0001-6873-6469"},"institutions":[{"id":"https://openalex.org/I138564716","display_name":"Prince Mohammad bin Fahd University","ror":"https://ror.org/03d64na34","country_code":"SA","type":"education","lineage":["https://openalex.org/I138564716"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Vinayakumar Ravi","raw_affiliation_strings":["Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia","institution_ids":["https://openalex.org/I138564716"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056701836"],"corresponding_institution_ids":["https://openalex.org/I149313025"],"apc_list":null,"apc_paid":null,"fwci":5.8602,"has_fulltext":false,"cited_by_count":75,"citation_normalized_percentile":{"value":0.97228758,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"70","issue":"5","first_page":"1655","last_page":"1669"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9965000152587891,"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":0.9965000152587891,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9921000003814697,"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":0.9854999780654907,"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/correlation-coefficient","display_name":"Correlation coefficient","score":0.6110275387763977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.597974956035614},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5960263013839722},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5947273373603821},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5840100646018982},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5571649074554443},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5378825664520264},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5151011347770691},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5052211880683899},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4402669072151184},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4337446391582489},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3188610076904297},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2832968831062317}],"concepts":[{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.6110275387763977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.597974956035614},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5960263013839722},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5947273373603821},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5840100646018982},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5571649074554443},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5378825664520264},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5151011347770691},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5052211880683899},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4402669072151184},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4337446391582489},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3188610076904297},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2832968831062317},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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":1,"locations":[{"id":"doi:10.1109/tem.2021.3065699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tem.2021.3065699","pdf_url":null,"source":{"id":"https://openalex.org/S154533451","display_name":"IEEE Transactions on Engineering Management","issn_l":"0018-9391","issn":["0018-9391","1558-0040"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Engineering Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1040979544","https://openalex.org/W1480911578","https://openalex.org/W1575192016","https://openalex.org/W1922404199","https://openalex.org/W2010787746","https://openalex.org/W2048660210","https://openalex.org/W2060542593","https://openalex.org/W2080420136","https://openalex.org/W2084028080","https://openalex.org/W2101820646","https://openalex.org/W2103105037","https://openalex.org/W2128873747","https://openalex.org/W2143426320","https://openalex.org/W2148541040","https://openalex.org/W2160430743","https://openalex.org/W2222734415","https://openalex.org/W2343420905","https://openalex.org/W2523693978","https://openalex.org/W2886256216","https://openalex.org/W2887814203","https://openalex.org/W2893875086","https://openalex.org/W2894461463","https://openalex.org/W2897524496","https://openalex.org/W2898230917","https://openalex.org/W2899642931","https://openalex.org/W2910328857","https://openalex.org/W2921677257","https://openalex.org/W2923860144","https://openalex.org/W2963157523","https://openalex.org/W2963963190","https://openalex.org/W2964872719","https://openalex.org/W2975755251","https://openalex.org/W3013980936"],"related_works":["https://openalex.org/W2372194214","https://openalex.org/W3081640970","https://openalex.org/W4200439127","https://openalex.org/W2021013714","https://openalex.org/W2412250669","https://openalex.org/W2359856669","https://openalex.org/W2078603735","https://openalex.org/W1488551807","https://openalex.org/W2023979854","https://openalex.org/W2560331580"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"an":[3],"analysis":[4,37],"of":[5,19,35,43,123,202,228,235],"data":[6,20,36,45,62,204,224],"extraction":[7,21],"for":[8,24,32,90,168,171,175],"classification":[9,25],"using":[10,73],"correlation":[11,78,98,182],"coefficient":[12,79,99,183],"and":[13,80,113,152,160,173,200,218,222],"fuzzy":[14,81,119,187],"model.":[15],"Several":[16],"traditional":[17,54,71],"methods":[18,75,100],"are":[22,105,178,241],"used":[23,106,195],"that":[26,50],"could":[27],"not":[28],"provide":[29],"sufficient":[30],"information":[31],"further":[33],"step":[34],"on":[38,181,238],"class.":[39,55,92,231],"It":[40],"needs":[41],"refinement":[42],"features":[44,85,109,138,141,147,154],"to":[46,65,83,107,128,196],"distinguish":[47,67],"a":[48,53,70],"class":[49,68,72],"differs":[51],"from":[52,69,110,142,148,155,205],"Thus,":[56],"it":[57],"proposes":[58],"the":[59,94,97,111,115,118,134,143,149,156,191,198,206,214,226,229,244],"feature":[60,221],"tiny":[61],"(subfeature":[63],"data)":[64],"find":[66,197],"two":[74,146],"such":[76],"as":[77,86,88,184,186],"model":[82,120],"select":[84,108],"well":[87,185],"subfeature":[89,130,203,223],"distinguishing":[91],"In":[93],"first":[95],"approach,":[96,117],"with":[101,121,225],"gradient":[102],"descent":[103],"technique":[104],"dataset":[112],"in":[114,243],"second":[116],"supreme":[122],"minimum":[124],"value":[125,165],"is":[126,194],"considered":[127],"get":[129],"data.":[131],"As":[132],"per":[133,163],"proposed":[135,215],"model,":[136],"some":[137],"(i.e.,":[139],"three":[140],"acoustic":[144],"dataset,":[145,151,158],"QCM":[150],"eight":[153],"audit":[157],"etc.)":[159,177],"subfeatures":[161],"(as":[162],"threshold":[164],"like":[166],"20":[167,174],"acoustic;":[169],"10":[170],"QCM,":[172],"audit,":[176],"selected":[179],"based":[180],"methods,":[188],"respectively.":[189],"Further,":[190],"probability":[192],"approach":[193],"association":[199],"availability":[201],"dimensional":[207],"reduced":[208],"database.":[209],"The":[210,232],"experimental":[211,245],"results":[212,234],"show":[213],"framework":[216],"identifies":[217],"selects":[219],"both":[220],"effectiveness":[227],"new":[230],"comparison":[233],"several":[236,239],"classifiers":[237],"datasets":[240],"explained":[242],"section.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":14}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
