{"id":"https://openalex.org/W3031464311","doi":"https://doi.org/10.1109/access.2020.2997791","title":"A Novel Hybrid Classification Method Based on the Opposition-Based Seagull Optimization Algorithm","display_name":"A Novel Hybrid Classification Method Based on the Opposition-Based Seagull Optimization Algorithm","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3031464311","doi":"https://doi.org/10.1109/access.2020.2997791","mag":"3031464311"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2997791","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2997791","pdf_url":null,"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://doi.org/10.1109/access.2020.2997791","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085915725","display_name":"He Jiang","orcid":"https://orcid.org/0000-0001-6874-9411"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Jiang","raw_affiliation_strings":["School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China","Applied Statistics Research Center, Jiangxi University of Finance and Economics, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0001-6874-9411","affiliations":[{"raw_affiliation_string":"School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]},{"raw_affiliation_string":"Applied Statistics Research Center, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072004124","display_name":"Ye Yang","orcid":"https://orcid.org/0000-0001-9682-6138"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Yang","raw_affiliation_strings":["School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China","Applied Statistics Research Center, Jiangxi University of Finance and Economics, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]},{"raw_affiliation_string":"Applied Statistics Research Center, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016416354","display_name":"Weiying Ping","orcid":null},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiying Ping","raw_affiliation_strings":["School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China","Applied Statistics Research Center, Jiangxi University of Finance and Economics, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]},{"raw_affiliation_string":"Applied Statistics Research Center, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101681039","display_name":"Yao Dong","orcid":"https://orcid.org/0000-0003-4721-4682"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Dong","raw_affiliation_strings":["School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China","Applied Statistics Research Center, Jiangxi University of Finance and Economics, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]},{"raw_affiliation_string":"Applied Statistics Research Center, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59649739"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.462,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.94785661,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"100778","last_page":"100790"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9951000213623047,"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"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9951000213623047,"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"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9925000071525574,"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"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9857000112533569,"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/feature-selection","display_name":"Feature selection","score":0.6854360103607178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6726032495498657},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.6248769164085388},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6190804839134216},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5745495557785034},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5739375352859497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5615029335021973},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.44955334067344666},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4198746681213379}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6854360103607178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6726032495498657},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.6248769164085388},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6190804839134216},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5745495557785034},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5739375352859497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5615029335021973},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.44955334067344666},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4198746681213379},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2997791","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2997791","pdf_url":null,"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:7182b460fc004d7a8ef56b66888c2bd0","is_oa":true,"landing_page_url":"https://doaj.org/article/7182b460fc004d7a8ef56b66888c2bd0","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 8, Pp 100778-100790 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2997791","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2997791","pdf_url":null,"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/G2009912053","display_name":"\u57fa\u4e8e\u65f6\u7a7a\u76f8\u5173\u6027\u7684\u5149\u4f0f\u529f\u7387\u7a33\u5065\u6982\u7387\u9884\u6d4b\u4e0e\u8bc4\u4ef7\u4f53\u7cfb\u7814\u7a76","funder_award_id":"71901109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G550857938","display_name":"\u5149\u4f0f\u5e76\u7f51\u53d1\u7535\u7cfb\u7edf\u4e2d\u7684\u77ed\u671f\u529f\u7387\u9884\u6d4b\u4e0e\u50a8\u80fd\u5bb9\u91cf\u4f18\u5316\u914d\u7f6e\u7814\u7a76","funder_award_id":"71861012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5766130446","display_name":null,"funder_award_id":"18ATJ001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5872813821","display_name":"\u98ce\u5149\u4e92\u8865\u5e76\u7f51\u53d1\u7535\u7cfb\u7edf\u4e2d\u7684\u8d44\u6e90\u8bc4\u4f30\u4e0e\u77ed\u671f\u529f\u7387\u9884\u6d4b\u7814\u7a76","funder_award_id":"71761016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8251622964","display_name":null,"funder_award_id":"20181BAB211020","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W291003596","https://openalex.org/W323404752","https://openalex.org/W588468042","https://openalex.org/W944856202","https://openalex.org/W1512098439","https://openalex.org/W1553244859","https://openalex.org/W1570713908","https://openalex.org/W1575275310","https://openalex.org/W1586335931","https://openalex.org/W1938500889","https://openalex.org/W1992036974","https://openalex.org/W1997175741","https://openalex.org/W2003274030","https://openalex.org/W2005369007","https://openalex.org/W2007358469","https://openalex.org/W2012718379","https://openalex.org/W2026282679","https://openalex.org/W2027043498","https://openalex.org/W2031856866","https://openalex.org/W2032550340","https://openalex.org/W2036657109","https://openalex.org/W2040884411","https://openalex.org/W2041387425","https://openalex.org/W2042672252","https://openalex.org/W2055417373","https://openalex.org/W2109574129","https://openalex.org/W2135046866","https://openalex.org/W2142246398","https://openalex.org/W2142635246","https://openalex.org/W2153922613","https://openalex.org/W2157133710","https://openalex.org/W2157963336","https://openalex.org/W2158934641","https://openalex.org/W2160227689","https://openalex.org/W2162745921","https://openalex.org/W2168175751","https://openalex.org/W2185950796","https://openalex.org/W2191006491","https://openalex.org/W2514792508","https://openalex.org/W2518301555","https://openalex.org/W2538830880","https://openalex.org/W2565536624","https://openalex.org/W2593314755","https://openalex.org/W2598645336","https://openalex.org/W2604437134","https://openalex.org/W2605800522","https://openalex.org/W2605902561","https://openalex.org/W2773381949","https://openalex.org/W2791531554","https://openalex.org/W2791667251","https://openalex.org/W2854243379","https://openalex.org/W2902421512","https://openalex.org/W2987883775","https://openalex.org/W2998216295","https://openalex.org/W3010805239","https://openalex.org/W3023540311","https://openalex.org/W3102942031","https://openalex.org/W3120740533","https://openalex.org/W4230643155","https://openalex.org/W4255455317","https://openalex.org/W4294541781","https://openalex.org/W4298304654","https://openalex.org/W4399546628","https://openalex.org/W6630527977","https://openalex.org/W6686339323","https://openalex.org/W6729063811","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2046435967","https://openalex.org/W4231775656","https://openalex.org/W3035095237","https://openalex.org/W3213683101","https://openalex.org/W3186233728","https://openalex.org/W4200459988","https://openalex.org/W4361733776","https://openalex.org/W4281776617","https://openalex.org/W3020897463","https://openalex.org/W4319005243"],"abstract_inverted_index":{"In":[0,63],"practice,":[1],"classification":[2,25,104,109,154,205],"problems":[3],"have":[4,31],"appeared":[5],"in":[6,42,141],"many":[7],"scientific":[8],"fields,":[9],"including":[10,108],"finance,":[11],"medicine":[12],"and":[13,23,40,80,120,138,150],"industry.":[14],"It":[15],"is":[16,59,78,84,92,163,197],"critically":[17],"important":[18],"to":[19,38,174],"develop":[20],"an":[21,88,198],"effective":[22,199],"accurate":[24],"model.":[26],"Although":[27],"numerous":[28],"useful":[29],"classifiers":[30],"been":[32],"proposed,":[33],"they":[34],"are":[35,123],"unstable,":[36],"sensitive":[37],"noise":[39],"slow":[41],"computation.":[43],"To":[44,100],"overcome":[45],"these":[46],"drawbacks,":[47],"the":[48,72,95,130,161,172,190,195,202],"combination":[49],"of":[50,60,112,187,192,204],"feature":[51,68,167],"selection":[52,69,168],"techniques":[53],"with":[54,143,182],"traditional":[55],"machine":[56],"learning":[57,97],"models":[58],"great":[61],"help.":[62],"this":[64],"paper,":[65],"a":[66,164],"novel":[67],"method":[70,132],"called":[71],"opposition-based":[73,96],"seagull":[74],"optimization":[75],"algorithm":[76,145],"(OSOA)":[77],"proposed":[79],"studied.":[81],"The":[82,125,156],"OSOA":[83,162,196],"constructed":[85],"based":[86],"on":[87],"SOA":[89],"whose":[90,185],"population":[91],"determined":[93],"by":[94],"(OBL)":[98],"algorithm.":[99],"evaluate":[101],"its":[102],"overall":[103],"performance,":[105],"some":[106],"measures,":[107],"accuracy,":[110],"number":[111,186,191],"selected":[113],"features,":[114],"receiver":[115],"operating":[116],"characteristic":[117],"curve":[118],"(ROC),":[119],"computation":[121],"time,":[122],"adopted.":[124],"empirical":[126],"results":[127,158],"indicate":[128],"that":[129,160,170],"suggested":[131],"exhibits":[133],"higher":[134],"or":[135],"similar":[136],"accuracy":[137],"computational":[139],"efficiency":[140],"comparison":[142],"genetic":[144],"(GA)-,":[146],"simulated":[147],"annealing":[148],"(SA)-,":[149],"Fisher":[151],"score":[152],"(FS)-based":[153],"models.":[155],"experimental":[157],"show":[159],"computationally":[165],"efficient":[166],"technique":[169],"has":[171],"ability":[173],"select":[175],"relevant":[176],"variables.":[177],"Furthermore,":[178],"it":[179],"performs":[180],"well":[181],"high-dimensional":[183],"data":[184],"variables":[188],"exceeds":[189],"samples.":[193],"Thus,":[194],"approach":[200],"for":[201],"enhancement":[203],"performance.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":8}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}