{"id":"https://openalex.org/W4403278179","doi":"https://doi.org/10.1109/is61756.2024.10705246","title":"Concept Drift Complexity for Assessing Sampling-Induced Concept Drift in Class-Imbalanced Data Streams","display_name":"Concept Drift Complexity for Assessing Sampling-Induced Concept Drift in Class-Imbalanced Data Streams","publication_year":2024,"publication_date":"2024-08-29","ids":{"openalex":"https://openalex.org/W4403278179","doi":"https://doi.org/10.1109/is61756.2024.10705246"},"language":"en","primary_location":{"id":"doi:10.1109/is61756.2024.10705246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is61756.2024.10705246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 12th International Conference on Intelligent Systems (IS)","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/A5099776340","display_name":"Mustafa Hajmohammed","orcid":"https://orcid.org/0000-0003-0683-1350"},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mustafa Hajmohammed","raw_affiliation_strings":["School of Computer Science &#x0026; Eng., University of Westminster,London,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science &#x0026; Eng., University of Westminster,London,United Kingdom","institution_ids":["https://openalex.org/I94951947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040925126","display_name":"Panagiotis Chountas","orcid":"https://orcid.org/0000-0003-3157-8887"},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Panagiotis Chountas","raw_affiliation_strings":["School of Computer Science &#x0026; Eng., University of Westminster,London,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science &#x0026; Eng., University of Westminster,London,United Kingdom","institution_ids":["https://openalex.org/I94951947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075096076","display_name":"Thierry Chaussalet","orcid":"https://orcid.org/0000-0001-5507-6158"},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Thierry J. Chaussalet","raw_affiliation_strings":["School of Computer Science &#x0026; Eng., University of Westminster,London,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science &#x0026; Eng., University of Westminster,London,United Kingdom","institution_ids":["https://openalex.org/I94951947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14574089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.941100001335144,"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"}},{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9230999946594238,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.8503289818763733},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.7462612390518188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7022503614425659},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.6346532106399536},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6068227291107178},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5586987733840942},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45972368121147156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38654226064682007},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32770591974258423},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08553782105445862},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.0597328245639801}],"concepts":[{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.8503289818763733},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.7462612390518188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7022503614425659},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.6346532106399536},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6068227291107178},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5586987733840942},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45972368121147156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38654226064682007},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32770591974258423},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08553782105445862},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0597328245639801},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/is61756.2024.10705246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is61756.2024.10705246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 12th International Conference on Intelligent Systems (IS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W139044672","https://openalex.org/W2052300809","https://openalex.org/W2104933073","https://openalex.org/W2118978333","https://openalex.org/W2132791018","https://openalex.org/W2143991132","https://openalex.org/W2148143831","https://openalex.org/W2160512933","https://openalex.org/W2604756720","https://openalex.org/W3089030408","https://openalex.org/W3089117462","https://openalex.org/W3175350659","https://openalex.org/W4241302199","https://openalex.org/W4402743820"],"related_works":["https://openalex.org/W2802243998","https://openalex.org/W2469699777","https://openalex.org/W3201554469","https://openalex.org/W3112950814","https://openalex.org/W2368264659","https://openalex.org/W4307392573","https://openalex.org/W2060628068","https://openalex.org/W4200217704","https://openalex.org/W2161835057","https://openalex.org/W3208495060"],"abstract_inverted_index":{"Resampling":[0],"data":[1,15,100,113],"is":[2,92],"an":[3,8,124,195],"engineering":[4],"technique":[5,30],"that":[6],"has":[7,182,188],"impact":[9,94,196],"on":[10,95,197],"instances":[11,20],"where":[12],"the":[13,33,53,70,88,131,146,198,211,219],"underlying":[14],"distribution":[16],"and":[17,21,44,117,142,145,165,171,192],"proportions":[18],"of":[19,35,55,69,87,90,112,126,133,139,155,213,222],"classes":[22],"change":[23],"as":[24,39,62,66,74,81,83,109,123,136,152,178,215],"a":[25,63,67,99,110,137,153,179,189,216,225],"result.":[26],"Applying":[27],"any":[28],"resampling":[29,91,166],"may":[31,48],"influence":[32,47],"occurrence":[34],"certain":[36,190],"phenomena":[37],"such":[38,73],"concept":[40,96,106,134,149,161,175,205],"drift,":[41,162],"class":[42,163],"imbalance,":[43,164],"anomalies.":[45],"Such":[46],"produce,":[49],"exaggerate":[50],"or":[51,65,76],"eliminate":[52],"presence":[54],"these":[56,156],"phenomena,":[57],"whether":[58],"they":[59],"are":[60],"viewed":[61],"problem":[64],"characteristic":[68],"data.":[71],"Resampling,":[72],"over-":[75,141],"under-sampling,":[77],"introduces":[78],"new":[79],"challenges":[80,89],"well":[82],"resolving":[84],"others.":[85],"One":[86],"its":[93,115,121],"drift":[97,107,176,206,223],"in":[98,224],"stream.":[101],"This":[102,186],"paper":[103],"looks":[104],"at":[105],"produced":[108,151],"result":[111,138,154],"resampling,":[114],"nature":[116,132],"how":[118],"to":[119],"use":[120],"complexity":[122,191,207,214,221],"indicator":[125],"performance.":[127],"Additionally":[128],"it":[129],"examines":[130],"drifts":[135,150],"applying":[140],"under-sampling":[143],"techniques":[144,167],"various":[147],"different":[148],"two":[157],"techniques.":[158],"Even":[159],"though":[160],"have":[168,194],"been":[169,183],"studied":[170],"researched":[172],"extensively,":[173],"sampling-induced":[174],"itself":[177],"separate":[180],"phenomenon":[181,187],"under-":[184],"researched.":[185],"can":[193,201],"model,":[199],"which":[200],"be":[202],"measured":[203],"using":[204,210],"especially":[208],"when":[209],"value":[212],"baseline":[217],"for":[218],"overall":[220],"dataset.":[226]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
