{"id":"https://openalex.org/W3217723843","doi":"https://doi.org/10.1109/etfa45728.2021.9613547","title":"Hybrid Feature Selection for High-Dimensional Manufacturing Data","display_name":"Hybrid Feature Selection for High-Dimensional Manufacturing Data","publication_year":2021,"publication_date":"2021-09-07","ids":{"openalex":"https://openalex.org/W3217723843","doi":"https://doi.org/10.1109/etfa45728.2021.9613547","mag":"3217723843"},"language":"en","primary_location":{"id":"doi:10.1109/etfa45728.2021.9613547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa45728.2021.9613547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","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/A5015505211","display_name":"Yajuan Sun","orcid":"https://orcid.org/0000-0002-4030-4864"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I4210091207","display_name":"Singapore Institute of Manufacturing Technology","ror":"https://ror.org/00f44np30","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210091207","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yajuan Sun","raw_affiliation_strings":["A*STAR Singapore Institute of Manufacturing Technology, Innovis, Singapore"],"affiliations":[{"raw_affiliation_string":"A*STAR Singapore Institute of Manufacturing Technology, Innovis, Singapore","institution_ids":["https://openalex.org/I4210091207","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069674419","display_name":"Jianlin Yu","orcid":"https://orcid.org/0009-0003-6653-8516"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jianlin Yu","raw_affiliation_strings":["National University of Singapore, Singapore, Block EA, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Block EA, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331094","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-9851-6376"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I4210091207","display_name":"Singapore Institute of Manufacturing Technology","ror":"https://ror.org/00f44np30","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210091207","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["A*STAR Singapore Institute of Manufacturing Technology, Innovis, Singapore"],"affiliations":[{"raw_affiliation_string":"A*STAR Singapore Institute of Manufacturing Technology, Innovis, Singapore","institution_ids":["https://openalex.org/I4210091207","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073503267","display_name":"Ji Yan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ji Yan Wu","raw_affiliation_strings":["National University of Singapore, Singapore, Block EA, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Block EA, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010686710","display_name":"Wen Feng Lu","orcid":"https://orcid.org/0000-0003-4022-6912"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wen Feng Lu","raw_affiliation_strings":["National University of Singapore, Singapore, Block EA, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Block EA, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015505211"],"corresponding_institution_ids":["https://openalex.org/I115228651","https://openalex.org/I4210091207"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16187908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9930999875068665,"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":0.9930999875068665,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9596999883651733,"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/benchmarking","display_name":"Benchmarking","score":0.8089179992675781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7501944303512573},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7295400500297546},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6329220533370972},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5392864942550659},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5326271653175354},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5126628279685974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4885174036026001},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.45206013321876526},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.43251439929008484},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4272422194480896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4256931245326996},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4140661358833313},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32216954231262207},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3085954189300537}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8089179992675781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7501944303512573},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7295400500297546},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6329220533370972},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5392864942550659},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5326271653175354},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5126628279685974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4885174036026001},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.45206013321876526},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.43251439929008484},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4272422194480896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4256931245326996},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4140661358833313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32216954231262207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3085954189300537},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/etfa45728.2021.9613547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa45728.2021.9613547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1216451687","https://openalex.org/W1661871015","https://openalex.org/W1808644423","https://openalex.org/W2015870870","https://openalex.org/W2135046866","https://openalex.org/W2143043751","https://openalex.org/W2154107530","https://openalex.org/W2774828403","https://openalex.org/W2791878580","https://openalex.org/W2894349568","https://openalex.org/W2897359443","https://openalex.org/W3033372010","https://openalex.org/W3044582809","https://openalex.org/W6627911636","https://openalex.org/W6636914306","https://openalex.org/W6638249342"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2011676020","https://openalex.org/W2329895846"],"abstract_inverted_index":{"In":[0],"manufacturing":[1,156],"environment,":[2],"hundreds":[3],"of":[4,40,45,99,151],"input":[5,28,48,118],"parameters":[6,29,49,119],"are":[7],"related":[8],"to":[9,25,52,91],"product":[10],"quality.":[11],"To":[12],"build":[13],"an":[14],"accurate":[15],"machine":[16],"learning":[17],"model":[18],"for":[19,62],"quality":[20,36],"prediction,":[21],"it":[22,121,138],"is":[23,50,89,110],"necessary":[24],"find":[26],"major":[27,42],"which":[30,65],"have":[31],"a":[32,59],"big":[33],"influence":[34],"in":[35,94,132],"prediction.":[37],"The":[38,86],"procedure":[39],"identifying":[41],"factors":[43],"out":[44],"original":[46],"high-dimensional":[47,117],"called":[51],"be":[53,92],"feature":[54,63,73,84,95],"selection.":[55,85],"This":[56,108],"paper":[57],"proposes":[58],"hybrid":[60],"method":[61,130,153],"selection,":[64],"effectively":[66],"reduces":[67,123],"the":[68,100,124,128,141,149],"searching":[69],"space":[70],"by":[71,76,148],"leveraging":[72],"subset":[74],"chosen":[75],"Fast":[77],"Correlation":[78],"Based":[79],"Filter":[80],"(FCBF)":[81],"and":[82,159],"Relief-based":[83],"computational":[87,125],"complexity":[88],"proved":[90],"quadratic":[93],"number,":[96],"while":[97],"most":[98],"existing":[101],"methods":[102],"suffer":[103],"from":[104],"exponential":[105],"computation":[106],"complexity.":[107],"improvement":[109],"crucial":[111],"especially":[112],"when":[113,137],"we":[114],"deal":[115],"with":[116,140],"because":[120],"dramatically":[122],"time.":[126],"Further,":[127],"proposed":[129],"outperforms":[131],"prediction":[133],"accuracy":[134],"as":[135],"well":[136],"compares":[139],"benchmarking":[142,162],"method.":[143],"It":[144],"has":[145],"been":[146],"demonstrated":[147],"implementation":[150],"our":[152],"into":[154],"real-world":[155],"data":[157,163],"sets":[158],"open":[160],"source":[161],"set.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}