{"id":"https://openalex.org/W3181674563","doi":"https://doi.org/10.1109/icmlc51923.2020.9469541","title":"Feature Selection for Big Data Based on Mapreduce and Voting Mechanism","display_name":"Feature Selection for Big Data Based on Mapreduce and Voting Mechanism","publication_year":2020,"publication_date":"2020-12-02","ids":{"openalex":"https://openalex.org/W3181674563","doi":"https://doi.org/10.1109/icmlc51923.2020.9469541","mag":"3181674563"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc51923.2020.9469541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc51923.2020.9469541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5100779912","display_name":"Sufang Zhang","orcid":"https://orcid.org/0000-0002-7585-6490"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Su-Fang Zhang","raw_affiliation_strings":["Hebei Branch of China Meteorological Administration Training Center, China Meteorological Administration, Baoding, China"],"affiliations":[{"raw_affiliation_string":"Hebei Branch of China Meteorological Administration Training Center, China Meteorological Administration, Baoding, China","institution_ids":["https://openalex.org/I141301092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017499347","display_name":"Junhai Zhai","orcid":"https://orcid.org/0000-0001-9962-7417"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun-Hai Zhai","raw_affiliation_strings":["Hebei Key Laboratory of Machine Learning and Computational Intelligence, College of Mathematics and Information Science, Hebei University, Baoding, China"],"affiliations":[{"raw_affiliation_string":"Hebei Key Laboratory of Machine Learning and Computational Intelligence, College of Mathematics and Information Science, Hebei University, Baoding, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019616632","display_name":"Tian Shi","orcid":"https://orcid.org/0000-0002-7604-5665"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Tian","raw_affiliation_strings":["Hebei Key Laboratory of Machine Learning and Computational Intelligence, College of Mathematics and Information Science, Hebei University, Baoding, China"],"affiliations":[{"raw_affiliation_string":"Hebei Key Laboratory of Machine Learning and Computational Intelligence, College of Mathematics and Information Science, Hebei University, Baoding, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103141960","display_name":"Xiang Zhou","orcid":"https://orcid.org/0000-0002-4168-3667"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhou","raw_affiliation_strings":["Hebei Key Laboratory of Machine Learning and Computational Intelligence, College of Mathematics and Information Science, Hebei University, Baoding, China"],"affiliations":[{"raw_affiliation_string":"Hebei Key Laboratory of Machine Learning and Computational Intelligence, College of Mathematics and Information Science, Hebei University, Baoding, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100754647","display_name":"Li Yan","orcid":"https://orcid.org/0000-0002-0415-0140"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["School of Applied Mathematics, Beijing Normal University, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"School of Applied Mathematics, Beijing Normal University, Zhuhai, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100779912"],"corresponding_institution_ids":["https://openalex.org/I141301092"],"apc_list":null,"apc_paid":null,"fwci":0.1407,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56702768,"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":"213","last_page":"218"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9966999888420105,"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":0.9954000115394592,"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/big-data","display_name":"Big data","score":0.8570680618286133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8117563128471375},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7579430937767029},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5760694742202759},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5247780680656433},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5192849040031433},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.510087788105011},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4249071478843689},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.41055387258529663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3587123453617096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07222482562065125}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.8570680618286133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8117563128471375},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7579430937767029},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5760694742202759},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5247780680656433},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5192849040031433},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.510087788105011},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4249071478843689},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.41055387258529663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3587123453617096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07222482562065125},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc51923.2020.9469541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc51923.2020.9469541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324851","display_name":"Hebei University","ror":"https://ror.org/01p884a79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1591618909","https://openalex.org/W1952835952","https://openalex.org/W2004075750","https://openalex.org/W2013885787","https://openalex.org/W2111072639","https://openalex.org/W2132795055","https://openalex.org/W2134478553","https://openalex.org/W2135190479","https://openalex.org/W2149772057","https://openalex.org/W2154053567","https://openalex.org/W2155261478","https://openalex.org/W2475596014","https://openalex.org/W2785292121","https://openalex.org/W2899274556","https://openalex.org/W2899356345","https://openalex.org/W2912494791","https://openalex.org/W2952429360","https://openalex.org/W2956917852","https://openalex.org/W2963799407","https://openalex.org/W2982507320","https://openalex.org/W2989896841","https://openalex.org/W2998216295","https://openalex.org/W3026982543","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4200136508","https://openalex.org/W2499527417"],"abstract_inverted_index":{"With":[0],"the":[1,15,18,23,39,90,100,143,151,163],"rapid":[2],"development":[3],"of":[4,17,20,28,41,96],"computer":[5],"network":[6],"technology":[7],"and":[8,25,47,59,88,124,142,168],"wireless":[9],"sensor":[10],"technology,":[11],"as":[12,14],"well":[13],"arrival":[16],"era":[19],"big":[21,45,54,67,82,158],"data,":[22],"dimension":[24],"sample":[26],"number":[27],"data":[29,46,68,83,122,159],"are":[30,136],"growing":[31],"rapidly.":[32],"Accordingly,":[33],"it":[34],"is":[35,69,147,166],"important":[36,116],"to":[37,48,92,114,138,150],"investigate":[38],"problem":[40],"feature":[42,50,63,107,127,134,145],"selection":[43,51,64,108],"for":[44,53,66,130],"design":[49],"algorithm":[52,109,113],"data.":[55],"Based":[56],"on":[57,99,111,140,156],"MapReduce":[58],"voting":[60,152],"mechanism,":[61],"a":[62,106],"method":[65,165],"proposed":[70,75,164],"in":[71,118],"this":[72],"paper.":[73],"The":[74],"methods":[76],"include":[77],"three":[78],"steps:":[79],"Firstly,":[80],"partition":[81],"set":[84],"into":[85],"m":[86,93,101,126,133],"subsets,":[87],"deploy":[89],"subsets":[91,135],"computing":[94,102],"nodes":[95],"Hadoop.":[97],"Secondly,":[98],"nodes,":[103],"we":[104],"employ":[105],"based":[110],"genetic":[112],"select":[115],"features":[117],"parallel":[119],"using":[120],"local":[121],"subset,":[123],"obtain":[125],"subsets.":[128],"Finally,":[129],"each":[131],"feature,":[132],"used":[137],"vote":[139],"it,":[141],"final":[144],"subset":[146],"selected":[148],"according":[149],"results.":[153],"Experimental":[154],"results":[155],"four":[157],"sets":[160],"demonstrate":[161],"that":[162],"effective":[167],"efficient.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
