{"id":"https://openalex.org/W3082762979","doi":"https://doi.org/10.1109/fuzz48607.2020.9177566","title":"A Fuzzy Drift Correlation Matrix for Multiple Data Stream Regression","display_name":"A Fuzzy Drift Correlation Matrix for Multiple Data Stream Regression","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3082762979","doi":"https://doi.org/10.1109/fuzz48607.2020.9177566","mag":"3082762979"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz48607.2020.9177566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177566","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10453/147899","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056243323","display_name":"Yiliao Song","orcid":"https://orcid.org/0000-0002-6633-2695"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Yiliao Song","raw_affiliation_strings":["Decision System&e-Service Intelligence (DeSI) Lab Centre for Artificial Intelligence Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Decision System&e-Service Intelligence (DeSI) Lab Centre for Artificial Intelligence Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062192039","display_name":"Guangquan Zhang","orcid":"https://orcid.org/0000-0003-3960-0583"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guangquan Zhang","raw_affiliation_strings":["Decision System&e-Service Intelligence (DeSI) Lab Centre for Artificial Intelligence Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Decision System&e-Service Intelligence (DeSI) Lab Centre for Artificial Intelligence Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618432","display_name":"Haiyan Lu","orcid":"https://orcid.org/0000-0001-5655-0237"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Haiyan Lu","raw_affiliation_strings":["Decision System&e-Service Intelligence (DeSI) Lab Centre for Artificial Intelligence Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Decision System&e-Service Intelligence (DeSI) Lab Centre for Artificial Intelligence Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100675577","display_name":"Jie L\u00fc","orcid":"https://orcid.org/0000-0003-0690-4732"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jie Lu","raw_affiliation_strings":["Decision System&e-Service Intelligence (DeSI) Lab Centre for Artificial Intelligence Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Decision System&e-Service Intelligence (DeSI) Lab Centre for Artificial Intelligence Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056243323"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":0.8156,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79329233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.991599977016449,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9850999712944031,"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":0.8488161563873291},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.8195921778678894},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.723311722278595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6942105293273926},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.5717880725860596},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4774487614631653},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.45162856578826904},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4174915850162506},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38937488198280334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2666813135147095},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1521894335746765},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12047982215881348},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.05691060423851013}],"concepts":[{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.8488161563873291},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.8195921778678894},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.723311722278595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6942105293273926},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.5717880725860596},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4774487614631653},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.45162856578826904},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4174915850162506},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38937488198280334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2666813135147095},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1521894335746765},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12047982215881348},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.05691060423851013},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz48607.2020.9177566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177566","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/147899","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/147899","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/147899","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/147899","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G611870384","display_name":null,"funder_award_id":"grant","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G7559557985","display_name":null,"funder_award_id":"DP190101733","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W3487859","https://openalex.org/W1505456515","https://openalex.org/W1636521571","https://openalex.org/W1978717800","https://openalex.org/W1988135700","https://openalex.org/W2016315690","https://openalex.org/W2073256825","https://openalex.org/W2099419573","https://openalex.org/W2310485631","https://openalex.org/W2532640750","https://openalex.org/W2604756720","https://openalex.org/W2613426128","https://openalex.org/W2669485504","https://openalex.org/W2788592483","https://openalex.org/W2898017895","https://openalex.org/W2912806030","https://openalex.org/W2941870244","https://openalex.org/W2981631836","https://openalex.org/W2989899532","https://openalex.org/W3009266144","https://openalex.org/W3013949960","https://openalex.org/W3017897307","https://openalex.org/W3102015031","https://openalex.org/W3139670689","https://openalex.org/W6600140087","https://openalex.org/W6630074438","https://openalex.org/W6749013544","https://openalex.org/W6769487824","https://openalex.org/W6776908823"],"related_works":["https://openalex.org/W4307392573","https://openalex.org/W2802243998","https://openalex.org/W2736127210","https://openalex.org/W2329342202","https://openalex.org/W2574092225","https://openalex.org/W4200217704","https://openalex.org/W2161835057","https://openalex.org/W1521014365","https://openalex.org/W2740428142","https://openalex.org/W2187127952"],"abstract_inverted_index":{"How":[0],"to":[1,20,34,108,135,146,170],"handle":[2,35],"concept":[3,22,45],"drift":[4,23,46,70,79,93,105,132,139,152],"problem":[5,24,94],"is":[6,106,144],"a":[7,82,91,115,130,177],"big":[8],"challenge":[9],"for":[10,13,154,183],"algorithms":[11],"designed":[12,169],"the":[14,21,41,54,69,75,121,124,137,149],"data":[15,28,38],"streams.":[16,73,142,186],"Currently,":[17],"techniques":[18],"related":[19],"focus":[25],"on":[26,63],"single":[27],"stream.":[29],"However,":[30],"it":[31],"normally":[32],"needs":[33],"multiple":[36,112,185],"relevant":[37],"streams":[39,85,113,157,167],"in":[40,53,81,123],"real-world":[42],"application.":[43],"Current":[44],"methods":[47],"can":[48,58],"not":[49],"be":[50,60],"directly":[51],"used":[52],"multistream":[55],"setting.":[56],"They":[57],"only":[59],"limitedly":[61],"applied":[62],"each":[64],"stream":[65],"separately,":[66],"which":[67],"omits":[68],"correlation":[71,163],"between":[72],"In":[74],"multi-stream":[76,125],"scenario,":[77,126],"when":[78],"occurs":[80],"stream,":[83],"other":[84],"may":[86],"face":[87],"or":[88,101],"have":[89],"faced":[90],"similar":[92],"as":[95,114],"well.":[96],"This":[97],"pattern":[98,150],"of":[99,104,151,181],"simultaneous":[100],"delayed":[102,161],"occurrence":[103,153],"critical":[107],"analyze":[109],"and":[110,159],"predict":[111],"whole":[116],"dynamic":[117],"system.":[118],"To":[119],"fill":[120],"gap":[122],"this":[127,162],"paper":[128],"proposes":[129],"fuzzy":[131],"variance":[133],"(FDV)":[134],"measure":[136],"correlated":[138],"patterns":[140],"among":[141],"FDA":[143,182],"able":[145],"present":[147],"how":[148,160],"any":[155],"two":[156],"correlates":[158],"is.":[164],"Seven":[165],"synthetic":[166],"are":[168],"validate":[171],"FDA.":[172],"The":[173],"experimental":[174],"results":[175],"show":[176],"good":[178],"presentation":[179],"ability":[180],"drift-correlated":[184]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
