{"id":"https://openalex.org/W4399856241","doi":"https://doi.org/10.1007/s40747-024-01524-x","title":"Scalable concept drift adaptation for stream data mining","display_name":"Scalable concept drift adaptation for stream data mining","publication_year":2024,"publication_date":"2024-06-20","ids":{"openalex":"https://openalex.org/W4399856241","doi":"https://doi.org/10.1007/s40747-024-01524-x"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01524-x","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s40747-024-01524-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01524-x.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01524-x.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102013983","display_name":"Lisha Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I113992204","display_name":"Hebei University of Economics and Business","ror":"https://ror.org/05j1kc284","country_code":"CN","type":"education","lineage":["https://openalex.org/I113992204"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lisha Hu","raw_affiliation_strings":["Hebei University of Economics and Business, Shijiazhuang, 050061, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei University of Economics and Business, Shijiazhuang, 050061, China","institution_ids":["https://openalex.org/I113992204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104332035","display_name":"Wenxiu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I113992204","display_name":"Hebei University of Economics and Business","ror":"https://ror.org/05j1kc284","country_code":"CN","type":"education","lineage":["https://openalex.org/I113992204"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxiu Li","raw_affiliation_strings":["Hebei University of Economics and Business, Shijiazhuang, 050061, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei University of Economics and Business, Shijiazhuang, 050061, China","institution_ids":["https://openalex.org/I113992204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048488798","display_name":"Yaru Lu","orcid":"https://orcid.org/0000-0003-3836-8516"},"institutions":[{"id":"https://openalex.org/I113992204","display_name":"Hebei University of Economics and Business","ror":"https://ror.org/05j1kc284","country_code":"CN","type":"education","lineage":["https://openalex.org/I113992204"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaru Lu","raw_affiliation_strings":["Hebei University of Economics and Business, Shijiazhuang, 050061, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei University of Economics and Business, Shijiazhuang, 050061, China","institution_ids":["https://openalex.org/I113992204"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043789501","display_name":"Chunyu Hu","orcid":"https://orcid.org/0000-0002-3238-9888"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunyu Hu","raw_affiliation_strings":["Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353, China","Shandong Provincial Key Laboratory of Computer Networks, Shandong Fundamental Research Center for Computer Science, Jinan, 250353, China"],"raw_orcid":"https://orcid.org/0000-0002-3238-9888","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Computer Networks, Shandong Fundamental Research Center for Computer Science, Jinan, 250353, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043789501"],"corresponding_institution_ids":["https://openalex.org/I152269853","https://openalex.org/I154099455","https://openalex.org/I4210142748"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.9934,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79270085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"10","issue":"5","first_page":"6725","last_page":"6743"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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":1.0,"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":0.9818000197410583,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9805999994277954,"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/adaptation","display_name":"Adaptation (eye)","score":0.6876131892204285},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6770831942558289},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.6725039482116699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6297123432159424},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5574077367782593},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.546371340751648},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.4370640516281128},{"id":"https://openalex.org/keywords/business-intelligence","display_name":"Business intelligence","score":0.4240933358669281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34842538833618164},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3294197618961334},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.29960888624191284},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1441795825958252},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09820553660392761},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07662162184715271}],"concepts":[{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6876131892204285},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6770831942558289},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6725039482116699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6297123432159424},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5574077367782593},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.546371340751648},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.4370640516281128},{"id":"https://openalex.org/C2767350","wikidata":"https://www.wikidata.org/wiki/Q6662173","display_name":"Business intelligence","level":2,"score":0.4240933358669281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34842538833618164},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3294197618961334},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.29960888624191284},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1441795825958252},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09820553660392761},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07662162184715271},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01524-x","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s40747-024-01524-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01524-x.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:80b0343d2a8b423cb80924d56b6d029b","is_oa":true,"landing_page_url":"https://doaj.org/article/80b0343d2a8b423cb80924d56b6d029b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6725-6743 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01524-x","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s40747-024-01524-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01524-x.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2127861892","display_name":null,"funder_award_id":"62002187","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399856241.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1970088130","https://openalex.org/W2010657328","https://openalex.org/W2073256825","https://openalex.org/W2143991132","https://openalex.org/W2549144957","https://openalex.org/W2604756720","https://openalex.org/W2739567232","https://openalex.org/W2791680326","https://openalex.org/W2898017895","https://openalex.org/W2901287800","https://openalex.org/W2901675550","https://openalex.org/W2941258581","https://openalex.org/W2941593869","https://openalex.org/W2977825167","https://openalex.org/W3008292207","https://openalex.org/W3013549383","https://openalex.org/W3013949960","https://openalex.org/W3049565123","https://openalex.org/W3084853684","https://openalex.org/W3091433184","https://openalex.org/W3108971846","https://openalex.org/W3130625521","https://openalex.org/W3167537398","https://openalex.org/W3170147864","https://openalex.org/W3179864625","https://openalex.org/W4206268729","https://openalex.org/W4211189800","https://openalex.org/W4225483588","https://openalex.org/W4225682144","https://openalex.org/W4229063663","https://openalex.org/W4232533539","https://openalex.org/W4281654741","https://openalex.org/W4281719757","https://openalex.org/W4293773472","https://openalex.org/W4307392573"],"related_works":["https://openalex.org/W2940903377","https://openalex.org/W3108897387","https://openalex.org/W4229924696","https://openalex.org/W4386121812","https://openalex.org/W4307392573","https://openalex.org/W2912132049","https://openalex.org/W2186919162","https://openalex.org/W2981673118","https://openalex.org/W4312068748","https://openalex.org/W4389493326"],"abstract_inverted_index":{"Abstract":[0],"Stream":[1],"data":[2,13,47,92,123,147,227],"mining":[3,44,228],"aims":[4],"to":[5,112],"handle":[6],"the":[7,45,54,90,95,110,114,125,132,173,187,199,212,217,222,240,244],"continuous":[8],"and":[9,18,73,155,163,204,209,219,237],"ongoing":[10],"generation":[11],"of":[12,53,97,124,189,221,239],"flows":[14],"(e.g.":[15],"weather,":[16],"stock":[17],"traffic":[19],"data),":[20],"which":[21],"often":[22],"encounters":[23],"concept":[24],"drift":[25],"as":[26],"time":[27],"progresses.":[28],"Traditional":[29],"offline":[30],"algorithms":[31,40,84],"struggle":[32],"with":[33,48,211],"learning":[34,56],"from":[35],"real-time":[36],"data,":[37],"making":[38],"online":[39,55,83,141,159],"more":[41],"fitting":[42],"for":[43,62,86,145],"stream":[46,91,146,226],"dynamic":[49],"concepts.":[50],"Among":[51,242],"families":[52],"algorithms,":[57],"single":[58,87,142],"pass":[59,88,143],"stands":[60],"out":[61],"its":[63],"efficiency":[64],"in":[65,130,225,249],"processing":[66],"one":[67],"sample":[68,181],"point":[69],"at":[70,78],"a":[71,139],"time,":[72],"inspecting":[74],"it":[75],"only":[76],"once":[77],"most.":[79],"Currently,":[80],"there":[81],"exist":[82],"tailored":[85],"over":[89],"by":[93,175,229],"converting":[94],"problems":[96],"classification":[98],"into":[99],"minimum":[100],"enclosing":[101],"ball.":[102,241],"However,":[103],"these":[104,251],"methods":[105,160,170,224],"mainly":[106],"focus":[107],"on":[108,166,201],"expanding":[109,176],"ball":[111,120,174],"enclose":[113],"new":[115,126,140,180],"data.":[116],"An":[117],"excessively":[118,190],"large":[119,191],"might":[121],"overwrite":[122],"concept,":[127],"creating":[128],"difficulty":[129],"triggering":[131],"model":[133],"updating":[134],"process.":[135],"This":[136],"paper":[137],"proposes":[138],"framework":[144],"mining,":[148],"namely":[149],"Scalable":[150],"Concept":[151],"Drift":[152],"Adaptation":[153],"(SCDA),":[154],"presents":[156],"three":[157,231],"distinct":[158],"(SCDA-I,":[161],"SCDA-II":[162],"SCDA-III)":[164],"based":[165],"that":[167],"framework.":[168],"These":[169],"dynamically":[171],"adjust":[172],"or":[177],"contracting":[178],"when":[179],"points":[182],"arrive,":[183],"thereby":[184],"effectively":[185],"avoiding":[186],"issue":[188],"balls.":[192],"To":[193],"evaluate":[194],"their":[195],"performance,":[196,234],"we":[197],"conduct":[198],"experiments":[200,215],"7":[202],"synthetic":[203],"5":[205],"real-world":[206],"benchmark":[207],"datasets":[208],"compete":[210],"state-of-the-arts.":[213],"The":[214],"demonstrate":[216],"applicability":[218],"flexibility":[220],"SCDA":[223],"comparing":[230],"aspects:":[232],"predictive":[233],"memory":[235],"usage":[236],"scalability":[238],"them,":[243],"SCDA-III":[245],"method":[246],"performs":[247],"best":[248],"all":[250],"aspects.":[252]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
