{"id":"https://openalex.org/W4408386748","doi":"https://doi.org/10.1177/14727978251321688","title":"Design of big data classifier optimization method based on improved particle swarm optimization algorithm","display_name":"Design of big data classifier optimization method based on improved particle swarm optimization algorithm","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408386748","doi":"https://doi.org/10.1177/14727978251321688"},"language":"en","primary_location":{"id":"doi:10.1177/14727978251321688","is_oa":true,"landing_page_url":"https://doi.org/10.1177/14727978251321688","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/14727978251321688","source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://journals.sagepub.com/doi/pdf/10.1177/14727978251321688","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063082602","display_name":"Shuwei Hu","orcid":"https://orcid.org/0000-0002-1819-3723"},"institutions":[{"id":"https://openalex.org/I163732180","display_name":"Guangxi University of Finance and Economics","ror":"https://ror.org/02ayg6516","country_code":"CN","type":"education","lineage":["https://openalex.org/I163732180"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuwei Hu","raw_affiliation_strings":["Guangxi University of Finance and Economics","School of Big Data and Artificial Intelligence, Guangxi University of Finance and Economics, Nanning, China"],"affiliations":[{"raw_affiliation_string":"Guangxi University of Finance and Economics","institution_ids":["https://openalex.org/I163732180"]},{"raw_affiliation_string":"School of Big Data and Artificial Intelligence, Guangxi University of Finance and Economics, Nanning, China","institution_ids":["https://openalex.org/I163732180"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5063082602"],"corresponding_institution_ids":["https://openalex.org/I163732180"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05837285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"1","first_page":"808","last_page":"820"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9503999948501587,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9503999948501587,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9401999711990356,"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/T13535","display_name":"Wireless Sensor Networks and IoT","score":0.9296000003814697,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7393417358398438},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.6950575709342957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6829792261123657},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5587291121482849},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.5350203514099121},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.4864956736564636},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4856675863265991},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.42540520429611206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36663955450057983},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3435227870941162},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2631447911262512},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14503905177116394}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7393417358398438},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.6950575709342957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6829792261123657},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5587291121482849},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.5350203514099121},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4864956736564636},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4856675863265991},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.42540520429611206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36663955450057983},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3435227870941162},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2631447911262512},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14503905177116394}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/14727978251321688","is_oa":true,"landing_page_url":"https://doi.org/10.1177/14727978251321688","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/14727978251321688","source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1177/14727978251321688","is_oa":true,"landing_page_url":"https://doi.org/10.1177/14727978251321688","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/14727978251321688","source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408386748.pdf"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W3001998614","https://openalex.org/W3004158096","https://openalex.org/W3044660432","https://openalex.org/W3049557313","https://openalex.org/W3127988644","https://openalex.org/W3137665052","https://openalex.org/W3138958118","https://openalex.org/W3140989686","https://openalex.org/W3157227004","https://openalex.org/W3173990800","https://openalex.org/W3177503640","https://openalex.org/W3201454365","https://openalex.org/W3204273772","https://openalex.org/W3204680952","https://openalex.org/W3212258398","https://openalex.org/W3214205283","https://openalex.org/W4200049030","https://openalex.org/W4206423371","https://openalex.org/W4210375186","https://openalex.org/W4220957675","https://openalex.org/W4225321035","https://openalex.org/W4290974831"],"related_works":["https://openalex.org/W2006324351","https://openalex.org/W2965421953","https://openalex.org/W2349895019","https://openalex.org/W2116074880","https://openalex.org/W2950423922","https://openalex.org/W2070977815","https://openalex.org/W2121780490","https://openalex.org/W2137136732","https://openalex.org/W2161494499","https://openalex.org/W2972744589"],"abstract_inverted_index":{"Data":[0],"present":[1],"complex":[2],"properties":[3],"such":[4],"as":[5,231],"high":[6],"dimension,":[7],"non-linear,":[8],"and":[9,28,37,52,100,147,157,205],"large-scale.":[10],"How":[11],"to":[12,218,232],"perform":[13],"feature":[14],"selection":[15],"more":[16,236],"efficiently":[17],"has":[18,44],"become":[19],"the":[20,38,49,62,67,107,118,124,127,132,138,142,148,163,167,178,184,189,200,224],"researching":[21],"focus":[22],"in":[23,56],"data":[24,41,78,112,228,239],"mining,":[25],"machine":[26,110,146,154],"learning,":[27],"other":[29],"fields.":[30],"Various":[31],"optimization":[32,43,74,85,90,104,121,225],"methods":[33],"have":[34,59],"been":[35],"proposed,":[36],"current":[39,57],"big":[40,77,111,227,238],"classifier":[42,79,113,134,169,202],"achieved":[45],"certain":[46],"results.":[47],"However,":[48],"classification":[50,129],"accuracy":[51,130,140],"stability":[53],"of":[54,76,131,141,166,226],"classifiers":[55],"research":[58,71,216],"not":[60,181,207],"reached":[61],"ideal":[63],"state.":[64],"To":[65],"address":[66],"above":[68],"issues,":[69],"this":[70],"proposed":[72],"an":[73],"method":[75],"based":[80],"on":[81],"improved":[82,94],"particle":[83,88,119,150],"swarm":[84,89,103,120,151],"algorithm.":[86,122],"The":[87,196,215],"algorithm":[91],"was":[92,114,135,155,170,180,187],"first":[93],"by":[95,116,193],"dynamically":[96],"adjusting":[97],"inertia":[98],"weights":[99],"using":[101],"multiple":[102],"methods.":[105],"Then":[106],"support":[108,144,175],"vector":[109,145,153,176],"optimized":[115,133,168,201],"improving":[117,213],"In":[123,160],"experimental":[125],"results,":[126],"average":[128,139],"82.23%,":[136],"while":[137,212],"traditional":[143,149,174],"optimization-support":[152],"69.45%":[156],"72.34%,":[158],"respectively.":[159],"addition,":[161],"although":[162],"running":[164,190],"time":[165,191],"slightly":[171],"higher":[172],"than":[173],"machines,":[177],"increase":[179],"significant.":[182],"When":[183],"features":[185],"number":[186],"100,":[188],"increased":[192],"0.87":[194],"seconds.":[195],"results":[197],"verified":[198],"that":[199],"performed":[203],"better":[204],"did":[206],"cause":[208],"significant":[209],"computational":[210],"load":[211],"accuracy.":[214],"aims":[217],"provide":[219,233],"a":[220],"reference":[221],"scheme":[222],"for":[223,235],"classifiers,":[229],"so":[230],"guidance":[234],"efficient":[237],"processing.":[240]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}