{"id":"https://openalex.org/W2949311145","doi":"https://doi.org/10.1109/access.2019.2923846","title":"A Classification Method Based on Feature Selection for Imbalanced Data","display_name":"A Classification Method Based on Feature Selection for Imbalanced Data","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2949311145","doi":"https://doi.org/10.1109/access.2019.2923846","mag":"2949311145"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2923846","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2923846","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08740942.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08740942.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100330576","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0002-8490-6285"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Liu","raw_affiliation_strings":["Tianjin Artificial Intelligence Innovation Center, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-8490-6285","affiliations":[{"raw_affiliation_string":"Tianjin Artificial Intelligence Innovation Center, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022531311","display_name":"Yanzhen Wang","orcid":"https://orcid.org/0000-0002-8309-4828"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanzhen Wang","raw_affiliation_strings":["Tianjin Artificial Intelligence Innovation Center, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Artificial Intelligence Innovation Center, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113870841","display_name":"Xiaoguang Ren","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoguang Ren","raw_affiliation_strings":["Tianjin Artificial Intelligence Innovation Center, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Artificial Intelligence Innovation Center, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397092","display_name":"Hao Zhou","orcid":"https://orcid.org/0009-0009-3536-7623"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Zhou","raw_affiliation_strings":["Tianjin Artificial Intelligence Innovation Center, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Artificial Intelligence Innovation Center, Tianjin, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109280499","display_name":"Xingchun Diao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xingchun Diao","raw_affiliation_strings":["Tianjin Artificial Intelligence Innovation Center, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Artificial Intelligence Innovation Center, Tianjin, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.3698,"has_fulltext":true,"cited_by_count":64,"citation_normalized_percentile":{"value":0.96292471,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"81794","last_page":"81807"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998000264167786,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9800000190734863,"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9641000032424927,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-science","display_name":"Computer science","score":0.7334449291229248},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7215294241905212},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6441184282302856},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6001636385917664},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4642888307571411},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.45744889974594116},{"id":"https://openalex.org/keywords/data-classification","display_name":"Data classification","score":0.4502304792404175},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44192537665367126},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3926476836204529},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38630032539367676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7334449291229248},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7215294241905212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6441184282302856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6001636385917664},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4642888307571411},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.45744889974594116},{"id":"https://openalex.org/C2780724565","wikidata":"https://www.wikidata.org/wiki/Q5227256","display_name":"Data classification","level":2,"score":0.4502304792404175},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44192537665367126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3926476836204529},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38630032539367676},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2923846","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2923846","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08740942.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:67796e43c04241fbafcbca926fba9dd0","is_oa":true,"landing_page_url":"https://doaj.org/article/67796e43c04241fbafcbca926fba9dd0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 81794-81807 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2923846","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2923846","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08740942.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2253383802","display_name":null,"funder_award_id":"2017YFB1301104","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3271481171","display_name":"\u6df7\u5408\u5173\u952e\u578b\u591a\u6838\u5d4c\u5165\u5f0f\u8f6f\u4ef6\u8bbe\u8ba1\u3001\u9a8c\u8bc1\u4e0e\u4f18\u5316\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61532007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G355886244","display_name":null,"funder_award_id":"61802426","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6422686682","display_name":null,"funder_award_id":"2017YFB1301104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7852348095","display_name":null,"funder_award_id":"2017YFB1001900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7928189182","display_name":null,"funder_award_id":"91648204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8970147621","display_name":null,"funder_award_id":"2017YFB1001900","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2949311145.pdf","grobid_xml":"https://content.openalex.org/works/W2949311145.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W49700977","https://openalex.org/W1045349118","https://openalex.org/W1473627731","https://openalex.org/W1563938718","https://openalex.org/W1582311240","https://openalex.org/W1754612754","https://openalex.org/W1864224110","https://openalex.org/W1867431247","https://openalex.org/W2015283109","https://openalex.org/W2027283610","https://openalex.org/W2032867948","https://openalex.org/W2033110225","https://openalex.org/W2081697244","https://openalex.org/W2091007025","https://openalex.org/W2096945460","https://openalex.org/W2104167780","https://openalex.org/W2104933073","https://openalex.org/W2118978333","https://openalex.org/W2119498311","https://openalex.org/W2125877832","https://openalex.org/W2148143831","https://openalex.org/W2155524986","https://openalex.org/W2164330572","https://openalex.org/W2183255026","https://openalex.org/W2189368561","https://openalex.org/W2200953330","https://openalex.org/W2209122160","https://openalex.org/W2271396433","https://openalex.org/W2295282302","https://openalex.org/W2318863789","https://openalex.org/W2327900220","https://openalex.org/W2338318698","https://openalex.org/W2371733098","https://openalex.org/W2387810696","https://openalex.org/W2408716172","https://openalex.org/W2460759951","https://openalex.org/W2470052106","https://openalex.org/W2471991522","https://openalex.org/W2490420619","https://openalex.org/W2520599539","https://openalex.org/W2526177130","https://openalex.org/W2540352327","https://openalex.org/W2562319768","https://openalex.org/W2588369313","https://openalex.org/W2593875029","https://openalex.org/W2640088286","https://openalex.org/W4289236186","https://openalex.org/W6602010082","https://openalex.org/W6633571703","https://openalex.org/W6675634716","https://openalex.org/W6686070081"],"related_works":["https://openalex.org/W4386564352","https://openalex.org/W2952668426","https://openalex.org/W2059321491","https://openalex.org/W2371570177","https://openalex.org/W2596054022","https://openalex.org/W4398199373","https://openalex.org/W2740479052","https://openalex.org/W1529156857","https://openalex.org/W2168920113","https://openalex.org/W3202881146"],"abstract_inverted_index":{"Imbalanced":[0],"data":[1,48,101],"are":[2,115,126],"very":[3],"common":[4],"in":[5,46,117],"the":[6,13,16,24,43,58,69,73,77,90,151],"real":[7],"world,":[8],"and":[9,38,63,88,109,123],"it":[10,64],"may":[11],"deteriorate":[12],"performance":[14,144],"of":[15,60,72,99],"conventional":[17],"classification":[18,26,32,143],"algorithms.":[19],"In":[20],"order":[21],"to":[22,49,56,102],"resolve":[23],"imbalanced":[25,61,113,153],"problems,":[27],"we":[28,82],"propose":[29],"an":[30,104],"ensemble":[31,105],"method":[33,45],"that":[34,136],"combines":[35],"evolutionary":[36],"under-sampling":[37,78],"feature":[39,97],"selection.":[40],"We":[41],"employ":[42,89],"Bootstrap":[44],"original":[47],"generate":[50],"many":[51],"sample":[52,79],"subsets.$V$-statistic":[53],"is":[54,65],"developed":[55],"measure":[57],"distribution":[59],"data,":[62],"also":[66],"taken":[67,127],"as":[68,84],"optimization":[70,86,94],"objective":[71],"genetic":[74],"algorithm":[75,95],"for":[76,96,128,150],"subsets.":[80],"Moreover,":[81],"take$F_{1}$andGmeanindicators":[83],"two":[85],"objectives":[87],"multiobjective":[91],"ant":[92],"colony":[93],"selection":[98],"resampled":[100],"construct":[103],"system.":[106],"Ten":[107],"low-dimensional":[108],"four":[110,124],"high-dimensional":[111,152],"typical":[112],"datasets":[114],"used":[116],"experiments.":[118],"The":[119,132],"six":[120],"state-of-the-art":[121],"algorithms":[122],"measures":[125],"a":[129,141],"fair":[130],"comparison.":[131],"experimental":[133],"results":[134],"show":[135],"our":[137],"proposed":[138],"system":[139],"has":[140],"better":[142],"compared":[145],"with":[146],"other":[147],"algorithms,":[148],"especially":[149],"data.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-14T07:06:38.338062","created_date":"2025-10-10T00:00:00"}
