{"id":"https://openalex.org/W3119480724","doi":"https://doi.org/10.1109/ssci47803.2020.9308521","title":"Reactive Concept Drift Detection Using Coresets Over Sliding Windows","display_name":"Reactive Concept Drift Detection Using Coresets Over Sliding Windows","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3119480724","doi":"https://doi.org/10.1109/ssci47803.2020.9308521","mag":"3119480724"},"language":"en","primary_location":{"id":"doi:10.1109/ssci47803.2020.9308521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci47803.2020.9308521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091580230","display_name":"Moritz Heusinger","orcid":"https://orcid.org/0000-0002-8743-1692"},"institutions":[{"id":"https://openalex.org/I3130074995","display_name":"Technical University of Applied Sciences W\u00fcrzburg-Schweinfurt","ror":"https://ror.org/01k5h5v15","country_code":"DE","type":"education","lineage":["https://openalex.org/I3130074995"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Moritz Heusinger","raw_affiliation_strings":["Department of Computer Science, Sanderheinrichsleitenweg 20, University of Applied Sciences W\u00fcrzburg-Schweinfurt, W\u00fcrzburg, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Sanderheinrichsleitenweg 20, University of Applied Sciences W\u00fcrzburg-Schweinfurt, W\u00fcrzburg, Germany","institution_ids":["https://openalex.org/I3130074995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004196006","display_name":"Frank-Michael Schleif","orcid":"https://orcid.org/0000-0002-7539-1283"},"institutions":[{"id":"https://openalex.org/I3130074995","display_name":"Technical University of Applied Sciences W\u00fcrzburg-Schweinfurt","ror":"https://ror.org/01k5h5v15","country_code":"DE","type":"education","lineage":["https://openalex.org/I3130074995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank-Michael Schleif","raw_affiliation_strings":["Department of Computer Science, Sanderheinrichsleitenweg 20, University of Applied Sciences W\u00fcrzburg-Schweinfurt, W\u00fcrzburg, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Sanderheinrichsleitenweg 20, University of Applied Sciences W\u00fcrzburg-Schweinfurt, W\u00fcrzburg, Germany","institution_ids":["https://openalex.org/I3130074995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091580230"],"corresponding_institution_ids":["https://openalex.org/I3130074995"],"apc_list":null,"apc_paid":null,"fwci":0.5302,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74084279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"1350","last_page":"1355"},"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":0.9743000268936157,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9599999785423279,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.8878638744354248},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.8078298568725586},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6448390483856201},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6376228332519531},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6145293116569519},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.6030374765396118},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5222640633583069},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.5197600722312927},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.49483340978622437},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44660383462905884},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43971961736679077},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.42901676893234253},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4271993041038513},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3949090242385864},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3920472264289856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23276439309120178},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.2219604253768921},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.0942126214504242}],"concepts":[{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.8878638744354248},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.8078298568725586},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6448390483856201},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6376228332519531},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6145293116569519},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.6030374765396118},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5222640633583069},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.5197600722312927},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.49483340978622437},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44660383462905884},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43971961736679077},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.42901676893234253},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4271993041038513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3949090242385864},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3920472264289856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23276439309120178},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.2219604253768921},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0942126214504242},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci47803.2020.9308521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci47803.2020.9308521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W27170557","https://openalex.org/W1585854823","https://openalex.org/W1650804014","https://openalex.org/W1981313592","https://openalex.org/W2025218532","https://openalex.org/W2070845802","https://openalex.org/W2074981383","https://openalex.org/W2084448578","https://openalex.org/W2099419573","https://openalex.org/W2105103777","https://openalex.org/W2114303587","https://openalex.org/W2135445066","https://openalex.org/W2143991132","https://openalex.org/W2585508806","https://openalex.org/W2626498001","https://openalex.org/W2944647694","https://openalex.org/W2971503667","https://openalex.org/W3013494918","https://openalex.org/W3015791395","https://openalex.org/W3099686372","https://openalex.org/W4285719527","https://openalex.org/W6732799044","https://openalex.org/W6775436562"],"related_works":["https://openalex.org/W4281572076","https://openalex.org/W4366202965","https://openalex.org/W3041820423","https://openalex.org/W1969293528","https://openalex.org/W2349679704","https://openalex.org/W2601363847","https://openalex.org/W3155148637","https://openalex.org/W2981673118","https://openalex.org/W3007751950","https://openalex.org/W4385399313"],"abstract_inverted_index":{"The":[0],"change":[1],"of":[2,7,30,60,79],"underlying":[3],"data":[4],"is":[5,63,106],"one":[6],"the":[8,28,48,77,88,96],"biggest":[9],"challenges":[10],"in":[11,27],"non-stationary":[12],"environments.":[13],"While":[14],"several":[15],"algorithms":[16],"have":[17],"been":[18],"proposed":[19],"to":[20,50,65,75,108],"detect":[21],"these":[22],"changes,":[23],"substantial":[24],"problems":[25],"remain":[26],"case":[29],"higher":[31,53],"dimensional":[32,54],"data.":[33,55,69],"Thus,":[34],"we":[35],"propose":[36,72],"a":[37,57,73,83],"novel":[38,104],"Concept":[39,111],"Drift":[40,112],"detector":[41,62],"based":[42],"on":[43],"Minimum":[44],"Enclosing":[45],"Balls,":[46],"with":[47,82],"capability":[49],"quickly":[51],"process":[52,66],"Additionally":[56],"kernelized":[58],"version":[59],"this":[61,103],"derived,":[64],"non-linear":[67],"streaming":[68],"We":[70],"also":[71],"method":[74],"measure":[76],"performance":[78],"drift":[80],"detectors":[81,113],"binary":[84],"classification":[85],"evaluation":[86],"technique,":[87],"confusion":[89],"matrix,":[90],"which":[91],"enables":[92],"calculating":[93],"statistics":[94],"like":[95],"F1":[97],"score.":[98],"Our":[99],"experiments":[100],"show,":[101],"that":[102],"technique":[105],"superior":[107],"existing":[109],"state-of-the-art":[110],"regarding":[114],"its":[115],"true":[116],"positive":[117],"detection":[118],"rate.":[119]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}