{"id":"https://openalex.org/W2772689162","doi":"https://doi.org/10.1109/iske.2017.8258734","title":"Concept drift region identification via competence-based discrepancy distribution estimation","display_name":"Concept drift region identification via competence-based discrepancy distribution estimation","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2772689162","doi":"https://doi.org/10.1109/iske.2017.8258734","mag":"2772689162"},"language":"en","primary_location":{"id":"doi:10.1109/iske.2017.8258734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2017.8258734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.lib.uts.edu.au/bitstream/10453/120809/4/OCC-108872_AM.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052204594","display_name":"Fan Dong","orcid":"https://orcid.org/0000-0001-7731-8488"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"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","CN"],"is_corresponding":true,"raw_author_name":"Fan Dong","raw_affiliation_strings":["Centre for Artifical Intelligent, University of Technology Sydney, Ultimo, NSW, Australia","School of Computer Science and Technology, Beijig Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Centre for Artifical Intelligent, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"School of Computer Science and Technology, Beijig Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","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":["Centre for Artifical Intelligent, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Artifical Intelligent, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342160","display_name":"Kan Li","orcid":"https://orcid.org/0000-0003-3528-4739"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kan Li","raw_affiliation_strings":["School of Computer Science and Technology, Beijig Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijig Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","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":["Centre for Artifical Intelligent, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Artifical Intelligent, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052204594"],"corresponding_institution_ids":["https://openalex.org/I114017466","https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.6236,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.7824199,"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":"7"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9822999835014343,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9761000275611877,"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/concept-drift","display_name":"Concept drift","score":0.8507245779037476},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.6750315427780151},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6314731240272522},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.5530515313148499},{"id":"https://openalex.org/keywords/competence","display_name":"Competence (human resources)","score":0.48535481095314026},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47609007358551025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4348784387111664},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.43248748779296875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3717052936553955},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3247005343437195},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.22114431858062744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1821390688419342},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15323001146316528}],"concepts":[{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.8507245779037476},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.6750315427780151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6314731240272522},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.5530515313148499},{"id":"https://openalex.org/C100521375","wikidata":"https://www.wikidata.org/wiki/Q2015382","display_name":"Competence (human resources)","level":2,"score":0.48535481095314026},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47609007358551025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4348784387111664},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.43248748779296875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3717052936553955},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3247005343437195},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.22114431858062744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1821390688419342},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15323001146316528},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iske.2017.8258734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2017.8258734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/120809","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/120809","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/120809/4/OCC-108872_AM.pdf","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":null,"license_id":null,"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:10453/120809","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/120809","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/120809/4/OCC-108872_AM.pdf","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4622406375","display_name":null,"funder_award_id":"DP150101645","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G8007097569","display_name":null,"funder_award_id":"150101645","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2772689162.pdf","grobid_xml":"https://content.openalex.org/works/W2772689162.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W3487859","https://openalex.org/W27170557","https://openalex.org/W36794914","https://openalex.org/W38774257","https://openalex.org/W1536612688","https://openalex.org/W1585854823","https://openalex.org/W1978717800","https://openalex.org/W1990079212","https://openalex.org/W1995945562","https://openalex.org/W2010657328","https://openalex.org/W2014268383","https://openalex.org/W2022775778","https://openalex.org/W2069701377","https://openalex.org/W2099419573","https://openalex.org/W2118020555","https://openalex.org/W2120587290","https://openalex.org/W2129905273","https://openalex.org/W2221794486","https://openalex.org/W4233014035","https://openalex.org/W4255466416","https://openalex.org/W4285719527","https://openalex.org/W6600140087","https://openalex.org/W6601536599"],"related_works":["https://openalex.org/W1482149696","https://openalex.org/W2144201579","https://openalex.org/W4240479520","https://openalex.org/W3123419490","https://openalex.org/W2007242302","https://openalex.org/W4311428604","https://openalex.org/W1502956129","https://openalex.org/W4251895760","https://openalex.org/W3181529928","https://openalex.org/W2026307144"],"abstract_inverted_index":{"Real-world":[0],"data":[1,9,19,74,102,126],"analytics":[2],"often":[3],"involves":[4],"cumulative":[5],"data.":[6],"While":[7],"such":[8],"contains":[10],"valuable":[11],"information,":[12],"the":[13,44,73,101],"pattern":[14],"or":[15],"concept":[16,28,33],"underlying":[17],"these":[18],"may":[20],"change":[21],"over":[22],"time":[23],"and":[24,42,63,71,90,129],"is":[25,36,61],"known":[26],"as":[27],"drift.":[29],"When":[30],"learning":[31],"under":[32],"drift,":[34],"it":[35],"essential":[37],"to":[38,68,96,136],"know":[39],"when,":[40],"how":[41,70],"where":[43,72,105],"context":[45],"has":[46,66,107],"evolved.":[47],"Most":[48],"existing":[49],"drift":[50,60,87,106,123,138],"detection":[51,88],"methods":[52],"focus":[53],"only":[54],"on":[55],"triggering":[56],"a":[57],"signal":[58],"when":[59],"detected,":[62],"little":[64],"research":[65],"endeavored":[67],"explain":[69],"changes.":[75],"To":[76],"address":[77],"this":[78],"issue,":[79],"we":[80],"introduce":[81],"kernel":[82],"density":[83,118],"estimation":[84,95],"into":[85],"competence-based":[86,92,116],"method,":[89],"invent":[91],"discrepancy":[93,117],"distribution":[94],"identify":[97],"specific":[98],"regions":[99,124],"in":[100],"feature":[103,127],"space":[104],"occurred.":[108],"Two":[109],"experiments":[110],"demonstrate":[111],"that":[112,132],"our":[113],"proposed":[114],"approach,":[115],"estimation,":[119],"can":[120],"quantitatively":[121],"highlight":[122],"through":[125],"space,":[128],"produce":[130],"results":[131],"are":[133],"very":[134],"close":[135],"preset":[137],"regions.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
