{"id":"https://openalex.org/W4317495844","doi":"https://doi.org/10.1109/ccis57298.2022.10016323","title":"A feature selection method combining neighborhood rough set and butterfly optimization algorithm","display_name":"A feature selection method combining neighborhood rough set and butterfly optimization algorithm","publication_year":2022,"publication_date":"2022-11-26","ids":{"openalex":"https://openalex.org/W4317495844","doi":"https://doi.org/10.1109/ccis57298.2022.10016323"},"language":"en","primary_location":{"id":"doi:10.1109/ccis57298.2022.10016323","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccis57298.2022.10016323","pdf_url":null,"source":{"id":"https://openalex.org/S4363608348","display_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Shumao Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shumao Pan","raw_affiliation_strings":["Guangxi Minzu University of College of Electronic Information,Nanning,China,530000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Minzu University of College of Electronic Information,Nanning,China,530000","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031911074","display_name":"Jingjing Hu","orcid":"https://orcid.org/0000-0003-1957-2706"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JingJing Hu","raw_affiliation_strings":["Guangxi Minzu University of College of Electronic Information,Nanning,China,530000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Minzu University of College of Electronic Information,Nanning,China,530000","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066097892","display_name":"Gangqiang Zhang","orcid":"https://orcid.org/0000-0001-5424-6389"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gangqiang Zhang","raw_affiliation_strings":["Guangxi Minzu University of School of Artificial Intelligence,Nanning,China,530000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Minzu University of School of Artificial Intelligence,Nanning,China,530000","institution_ids":["https://openalex.org/I145897649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145897649"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"47","issue":null,"first_page":"684","last_page":"690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9995999932289124,"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":0.9995999932289124,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.911899983882904,"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/T12368","display_name":"Grey System Theory Applications","score":0.902899980545044,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.5361288785934448},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5332719087600708},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5282306671142578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5240455269813538},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.515684962272644},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5052271485328674},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.43654346466064453},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.42801064252853394},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3583239018917084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3462422788143158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3352675437927246},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31453293561935425},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.2404065728187561}],"concepts":[{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.5361288785934448},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5332719087600708},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5282306671142578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5240455269813538},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.515684962272644},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5052271485328674},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.43654346466064453},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.42801064252853394},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3583239018917084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3462422788143158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3352675437927246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31453293561935425},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.2404065728187561},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/ccis57298.2022.10016323","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccis57298.2022.10016323","pdf_url":null,"source":{"id":"https://openalex.org/S4363608348","display_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1553701556","https://openalex.org/W2045495451","https://openalex.org/W2061438946","https://openalex.org/W2076454423","https://openalex.org/W2158633287","https://openalex.org/W2290883490","https://openalex.org/W2313866064","https://openalex.org/W2511098035","https://openalex.org/W2543580944","https://openalex.org/W2790662215","https://openalex.org/W2889083964","https://openalex.org/W3081745991","https://openalex.org/W4211130072","https://openalex.org/W4255833381"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2392963705","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W2107349454","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W2388318061"],"abstract_inverted_index":{"Traditional":[0],"rough":[1,22,45],"set":[2,23,46],"based":[3,42],"feature":[4,12,39,135,184],"selection":[5,40],"methods":[6],"are":[7,168],"difficult":[8],"to":[9,81,99,114,126,156],"obtain":[10],"optimal":[11],"subsets":[13,136,185],"and":[14,30,47,76,106,128,143,173,192],"require":[15],"a":[16,38,72,77,116,121,187],"lot":[17],"of":[18,65,103,109,132,146,161,190],"computing":[19],"time.":[20],"The":[21,62],"model":[24],"cannot":[25],"well":[26],"handle":[27],"continuous":[28,165],"type":[29],"high-dimensional":[31],"complex":[32],"data.":[33],"To":[34],"tackle":[35],"these":[36],"problems,":[37],"method":[41],"on":[43,170],"neighborhood":[44,140],"improved":[48,56,150],"butterfly":[49,57,84,111,151],"optimization":[50,58,85,112,152],"algorithm":[51,59,67,86,113,153,180],"is":[52,60,68,97,124,154],"proposed.":[53],"First,":[54],"the":[55,66,83,101,104,110,130,133,139,144,174,178],"presented.":[61],"exploration":[63],"capability":[64],"enhanced":[69],"by":[70,137],"introducing":[71],"sine":[73],"cosine":[74],"function":[75,123],"nonlinear":[78],"control":[79],"factor":[80],"avoid":[82],"from":[87],"falling":[88],"into":[89],"local":[90,107],"optima.":[91],"A":[92],"dynamic":[93],"switching":[94],"probability":[95],"strategy":[96],"introduced":[98],"adjust":[100],"weighting":[102],"global":[105],"search":[108,118],"reflect":[115],"reasonable":[117],"process.":[119],"Then,":[120],"fitness":[122,131],"constructed":[125],"evaluate":[127],"rank":[129],"initialized":[134],"combining":[138],"attribute":[141],"dependency":[142],"number":[145,189],"features.":[147],"Finally,":[148],"an":[149,158],"used":[155],"find":[157],"acceptable":[159],"subset":[160],"near-optimal":[162],"features":[163,191],"through":[164],"iterations.":[166],"Experiments":[167],"conducted":[169],"UCI":[171],"datasets":[172],"results":[175],"show":[176],"that":[177],"proposed":[179],"can":[181],"effectively":[182],"select":[183],"with":[186],"smaller":[188],"higher":[193],"classification":[194],"accuracy.":[195]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
