{"id":"https://openalex.org/W3003559878","doi":"https://doi.org/10.1109/indin41052.2019.8972199","title":"A Hybrid Memetic Algorithm for Simultaneously Selecting Features and Instances in Big Industrial IoT Data for Predictive Maintenance","display_name":"A Hybrid Memetic Algorithm for Simultaneously Selecting Features and Instances in Big Industrial IoT Data for Predictive Maintenance","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W3003559878","doi":"https://doi.org/10.1109/indin41052.2019.8972199","mag":"3003559878"},"language":"en","primary_location":{"id":"doi:10.1109/indin41052.2019.8972199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin41052.2019.8972199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","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/A5075818454","display_name":"Yu-Lin Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yu-Lin Liang","raw_affiliation_strings":["National Chiao Tung University,Department of Industrial Engineering and Management,Hsinchu,Taiwan,300","Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University,Department of Industrial Engineering and Management,Hsinchu,Taiwan,300","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107878896","display_name":"Chih-Chi Kuo","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Chi Kuo","raw_affiliation_strings":["National Chiao Tung University,Department of Industrial Engineering and Management,Hsinchu,Taiwan,300","Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University,Department of Industrial Engineering and Management,Hsinchu,Taiwan,300","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008410960","display_name":"Chun\u2010Cheng Lin","orcid":"https://orcid.org/0000-0001-9073-593X"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Cheng Lin","raw_affiliation_strings":["National Chiao Tung University,Department of Industrial Engineering and Management,Hsinchu,Taiwan,300","Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University,Department of Industrial Engineering and Management,Hsinchu,Taiwan,300","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075818454"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67652143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1266","last_page":"1270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9958999752998352,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9958999752998352,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9818999767303467,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7925374507904053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7617049217224121},{"id":"https://openalex.org/keywords/memetic-algorithm","display_name":"Memetic algorithm","score":0.6750773787498474},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.6080382466316223},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.5771846771240234},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5414230227470398},{"id":"https://openalex.org/keywords/variable-neighborhood-search","display_name":"Variable neighborhood search","score":0.5357778072357178},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5309547781944275},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5273217558860779},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5148802995681763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48847830295562744},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4800478219985962},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3407360017299652},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.2905150055885315}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7925374507904053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7617049217224121},{"id":"https://openalex.org/C35129592","wikidata":"https://www.wikidata.org/wiki/Q324793","display_name":"Memetic algorithm","level":3,"score":0.6750773787498474},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.6080382466316223},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.5771846771240234},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5414230227470398},{"id":"https://openalex.org/C2776435737","wikidata":"https://www.wikidata.org/wiki/Q7915703","display_name":"Variable neighborhood search","level":3,"score":0.5357778072357178},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5309547781944275},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5273217558860779},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5148802995681763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48847830295562744},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4800478219985962},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3407360017299652},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.2905150055885315}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin41052.2019.8972199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin41052.2019.8972199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6399999856948853,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1473627731","https://openalex.org/W2004338242","https://openalex.org/W2008892061","https://openalex.org/W2010334716","https://openalex.org/W2070556583","https://openalex.org/W2074148701","https://openalex.org/W2093799708","https://openalex.org/W2125903555","https://openalex.org/W2217263013","https://openalex.org/W2486983281","https://openalex.org/W2514388731","https://openalex.org/W2521110226","https://openalex.org/W2561422903","https://openalex.org/W2612473079","https://openalex.org/W2754840697","https://openalex.org/W2767768852","https://openalex.org/W2769279311","https://openalex.org/W2778431822","https://openalex.org/W2892079407"],"related_works":["https://openalex.org/W3010890513","https://openalex.org/W2897056153","https://openalex.org/W4289389449","https://openalex.org/W3200179079","https://openalex.org/W3196748993","https://openalex.org/W2296226123","https://openalex.org/W2933578484","https://openalex.org/W3003559878","https://openalex.org/W2397435399","https://openalex.org/W2063866587"],"abstract_inverted_index":{"In":[0,88],"Industry":[1],"4.0,":[2],"various":[3,37],"types":[4],"of":[5,69,78,120,139,160,168,188,193],"IoT":[6],"sensors":[7],"which":[8],"are":[9,25],"installed":[10],"on":[11,51,93],"machines":[12],"to":[13,39,106,131,135,151],"collect":[14],"data":[15,22,59,74,105,121,169,189],"for":[16,58],"predictive":[17],"maintenance.":[18],"As":[19],"the":[20,41,70,100,108,136,158,161,165,180,186,191,202],"collected":[21],"increases,":[23],"there":[24],"more":[26],"missing":[27],"values":[28],"and":[29,84,123,149,172,190,214],"noisy":[30,94,104,194],"data.":[31,45,95,195],"Related":[32],"studies":[33,49,80],"have":[34],"already":[35],"proposed":[36,181,203],"methods":[38,72],"solve":[40],"problems":[42],"in":[43,73,117],"big":[44],"Among":[46],"them,":[47],"most":[48,77],"focused":[50,92],"either":[52],"feature":[53,83,171],"selection":[54,57,86,174],"or":[55],"instance":[56,85,173],"preprocessing":[60],"before":[61],"training":[62],"forecast":[63],"models.":[64],"Metaheuristic":[65],"algorithm":[66,112],"is":[67],"one":[68],"mainstream":[71],"preprocessing.":[75],"However,":[76],"these":[79],"rarely":[81],"considered":[82],"simultaneously.":[87,175],"addition,":[89],"they":[90],"seldom":[91],"Therefore,":[96],"this":[97],"work":[98,144],"combines":[99],"UCI":[101],"datasets":[102],"with":[103,198],"simulate":[107],"real":[109],"situation.":[110],"Memetic":[111],"(MA)":[113],"has":[114,205],"excellent":[115,210],"performance":[116,207],"machine":[118],"learning":[119],"selection,":[122],"variable":[124],"neighborhood":[125],"search":[126,141],"(VNS)":[127],"was":[128],"also":[129],"proved":[130],"be":[132],"widely":[133],"applied":[134],"systematic":[137],"change":[138],"local":[140],"algorithms.":[142],"This":[143],"proposes":[145],"a":[146,153],"hybrid":[147],"MA":[148],"VNS":[150],"find":[152],"new":[154],"subset":[155],"that":[156,179],"maximizes":[157],"accuracy":[159],"classifier":[162],"while":[163],"preserving":[164],"minimum":[166],"amount":[167,187],"by":[170,208],"Experimental":[176],"results":[177],"show":[178],"method":[182,204],"can":[183],"efficiently":[184],"reduce":[185],"ratio":[192],"By":[196],"comparison":[197],"other":[199],"metaheuristic":[200],"algorithms,":[201],"good":[206],"an":[209],"balance":[211],"between":[212],"exploration":[213],"exploitation.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}