{"id":"https://openalex.org/W4213036076","doi":"https://doi.org/10.1109/tgcn.2022.3151716","title":"Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of Things","display_name":"Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of Things","publication_year":2022,"publication_date":"2022-02-16","ids":{"openalex":"https://openalex.org/W4213036076","doi":"https://doi.org/10.1109/tgcn.2022.3151716"},"language":"en","primary_location":{"id":"doi:10.1109/tgcn.2022.3151716","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgcn.2022.3151716","pdf_url":null,"source":{"id":"https://openalex.org/S4210192662","display_name":"IEEE Transactions on Green Communications and Networking","issn_l":"2473-2400","issn":["2473-2400"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Green Communications and Networking","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tgcn.2022.3151716","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010421115","display_name":"Jun Jiang","orcid":"https://orcid.org/0000-0002-8406-994X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Jiang","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8406-994X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005463262","display_name":"Fagui Liu","orcid":"https://orcid.org/0000-0003-1135-4982"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fagui Liu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1135-4982","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105759393","display_name":"Wing W. Y. Ng","orcid":"https://orcid.org/0000-0003-0783-3585"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wing W. Y. Ng","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Computational Intelligence &#x0026; Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0783-3585","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Intelligence &#x0026; Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033579560","display_name":"Quan Tang","orcid":"https://orcid.org/0000-0003-4011-6166"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Tang","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4011-6166","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042452580","display_name":"Weizheng Wang","orcid":"https://orcid.org/0000-0002-5879-585X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Weizheng Wang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-5879-585X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062525719","display_name":"Quoc\u2010Viet Pham","orcid":"https://orcid.org/0000-0002-9485-9216"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Quoc-Viet Pham","raw_affiliation_strings":["Korean Southeast Center for the 4th Industrial Revolution Leader Education, Pusan National University, Busan, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-9485-9216","affiliations":[{"raw_affiliation_string":"Korean Southeast Center for the 4th Industrial Revolution Leader Education, Pusan National University, Busan, South Korea","institution_ids":["https://openalex.org/I4921948"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.7734,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.96571354,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"6","issue":"3","first_page":"1316","last_page":"1329"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining 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/T12761","display_name":"Data Stream Mining 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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9624000191688538,"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/streams","display_name":"STREAMS","score":0.6831651926040649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6670356392860413},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.53285813331604},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.526945948600769},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5146685242652893},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.49809908866882324},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4951452314853668},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47648948431015015},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4609236717224121},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.44251981377601624},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1769779622554779},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11607640981674194}],"concepts":[{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.6831651926040649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6670356392860413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.53285813331604},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.526945948600769},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5146685242652893},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.49809908866882324},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4951452314853668},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47648948431015015},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4609236717224121},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.44251981377601624},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1769779622554779},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11607640981674194}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgcn.2022.3151716","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgcn.2022.3151716","pdf_url":null,"source":{"id":"https://openalex.org/S4210192662","display_name":"IEEE Transactions on Green Communications and Networking","issn_l":"2473-2400","issn":["2473-2400"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Green Communications and Networking","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tgcn.2022.3151716","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgcn.2022.3151716","pdf_url":null,"source":{"id":"https://openalex.org/S4210192662","display_name":"IEEE Transactions on Green Communications and Networking","issn_l":"2473-2400","issn":["2473-2400"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Green Communications and Networking","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7099999785423279,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G6185284941","display_name":null,"funder_award_id":"61876066","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6928099250","display_name":null,"funder_award_id":"2019A050510006","funder_id":"https://openalex.org/F4320335795","funder_display_name":"Science and Technology Planning Project of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335795","display_name":"Science and Technology Planning Project of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W129564570","https://openalex.org/W1985602045","https://openalex.org/W1990079212","https://openalex.org/W2030950474","https://openalex.org/W2036485694","https://openalex.org/W2088220893","https://openalex.org/W2099419573","https://openalex.org/W2103753221","https://openalex.org/W2139327121","https://openalex.org/W2140136381","https://openalex.org/W2152419552","https://openalex.org/W2162635690","https://openalex.org/W2297872743","https://openalex.org/W2523506879","https://openalex.org/W2605339749","https://openalex.org/W2615799874","https://openalex.org/W2621268638","https://openalex.org/W2729885960","https://openalex.org/W2740428142","https://openalex.org/W2783515059","https://openalex.org/W2789515102","https://openalex.org/W2793521475","https://openalex.org/W2794378956","https://openalex.org/W2804213466","https://openalex.org/W2810132194","https://openalex.org/W2810921114","https://openalex.org/W2884951793","https://openalex.org/W2898036135","https://openalex.org/W2907669945","https://openalex.org/W2909751940","https://openalex.org/W2942877765","https://openalex.org/W2953961724","https://openalex.org/W2970877802","https://openalex.org/W2997400866","https://openalex.org/W3003253354","https://openalex.org/W3004749007","https://openalex.org/W3043381437","https://openalex.org/W3044921708","https://openalex.org/W3048560307","https://openalex.org/W3080840693","https://openalex.org/W3097700561","https://openalex.org/W3112534363","https://openalex.org/W3120131065","https://openalex.org/W3127281569","https://openalex.org/W3130982961","https://openalex.org/W3133340445","https://openalex.org/W3134652089","https://openalex.org/W3138726304","https://openalex.org/W3138743904","https://openalex.org/W3154108917","https://openalex.org/W3158109590","https://openalex.org/W3161720869","https://openalex.org/W3164757523","https://openalex.org/W3165957992","https://openalex.org/W3181893420","https://openalex.org/W3184633816","https://openalex.org/W3192851879","https://openalex.org/W3201960826","https://openalex.org/W3202281568","https://openalex.org/W3210386267","https://openalex.org/W3215817894","https://openalex.org/W6680192438","https://openalex.org/W6798945268"],"related_works":["https://openalex.org/W2010317732","https://openalex.org/W2483328176","https://openalex.org/W2061705145","https://openalex.org/W193205649","https://openalex.org/W45006177","https://openalex.org/W2016919266","https://openalex.org/W1982793386","https://openalex.org/W2537623333","https://openalex.org/W4293083682","https://openalex.org/W2061507057"],"abstract_inverted_index":{"Due":[0],"to":[1,61,87],"the":[2,12,19,49,111,118,150,158,187],"fast,":[3],"dynamic,":[4],"and":[5,39,65,145,161,171,174,178],"continuous":[6],"arrival":[7],"of":[8,15,22,120,139],"data":[9,23,44,54,121,131,135],"streams":[10,24,55],"in":[11,70,134],"green":[13,92],"Internet":[14],"Things":[16],"(IoT)":[17],"environment,":[18],"probability":[20],"distribution":[21,45,132],"changes":[25,46,133],"over":[26],"time.":[27],"In":[28,77],"real":[29],"IoT":[30],"scenarios":[31],"such":[32],"as":[33],"unmanned":[34],"aerial":[35],"vehicle":[36],"(UAV)":[37],"detection":[38],"smart":[40,71,143],"light":[41],"switch":[42],"control,":[43],"have":[47],"reduced":[48],"trained":[50],"model\u2019s":[51],"accuracy":[52,90],"for":[53,91,106],"problems":[56],"classification,":[57],"making":[58],"it":[59],"challenging":[60],"detect":[62],"UAV":[63,140,169],"intruders":[64],"predict":[66],"whether":[67],"energy-saving":[68],"lamps":[69],"buildings":[72],"are":[73],"on":[74,168,180],"or":[75],"off.":[76],"this":[78],"paper,":[79],"an":[80],"incremental":[81],"ensemble":[82],"classification":[83,108],"method":[84],"is":[85,99,113],"proposed":[86,151,188],"improve":[88],"prediction":[89],"IoT.":[93],"Specifically,":[94],"a":[95,102],"fuzzy":[96],"rule-based":[97],"classifier":[98],"combined":[100],"with":[101],"dynamic":[103],"weighting":[104],"algorithm":[105],"improving":[107],"accuracy.":[109],"Moreover,":[110],"model":[112],"updated":[114],"by":[115,130],"incrementally":[116],"learning":[117],"characteristics":[119],"streams,":[122],"which":[123],"can":[124],"effectively":[125],"handle":[126],"concept":[127],"drift":[128],"caused":[129],"streams.":[136],"Experimental":[137],"evaluations":[138],"intrusion":[141],"detection,":[142],"buildings,":[144],"other":[146,197],"datasets":[147,173],"show":[148],"that":[149],"approach":[152,189],"yields":[153,190],"2%":[154],"higher":[155,176],"area":[156],"under":[157],"curve":[159],"(AUC)":[160],"geometric":[162],"mean":[163],"(G-mean)":[164],"than":[165,196],"existing":[166],"methods":[167],"Detection":[170],"Occupancy":[172],"5%":[175],"AUC":[177],"G-mean":[179],"five":[181],"benchmarking":[182],"datasets.":[183],"For":[184],"all":[185],"datasets,":[186],"50%":[191],"faster":[192],"average":[193],"training":[194],"time":[195],"methods.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":9}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
