{"id":"https://openalex.org/W2554172484","doi":"https://doi.org/10.1109/dsaa.2014.7058087","title":"A model-selection framework for concept-drifting data streams","display_name":"A model-selection framework for concept-drifting data streams","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2554172484","doi":"https://doi.org/10.1109/dsaa.2014.7058087","mag":"2554172484"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa.2014.7058087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa.2014.7058087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5046504142","display_name":"Bo-Heng Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bo-Heng Chen","raw_affiliation_strings":["Department of Computer Science and Information, Engineering National Cheng Kung University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information, Engineering National Cheng Kung University","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034198742","display_name":"Kun-Ta Chuang","orcid":"https://orcid.org/0000-0002-3914-8550"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kun-Ta Chuang","raw_affiliation_strings":["Department of Computer Science and Information, Engineering National Cheng Kung University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information, Engineering National Cheng Kung University","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"290","last_page":"296"},"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":0.9732000231742859,"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":0.9603999853134155,"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":0.868274986743927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8536610007286072},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6238930821418762},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.6076856851577759},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5840170383453369},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5651288032531738},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.5520246624946594},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5477728843688965},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5379887223243713},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5166118741035461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5164937973022461},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.5013494491577148}],"concepts":[{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.868274986743927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8536610007286072},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6238930821418762},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.6076856851577759},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5840170383453369},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5651288032531738},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.5520246624946594},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5477728843688965},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5379887223243713},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5166118741035461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5164937973022461},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.5013494491577148},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsaa.2014.7058087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa.2014.7058087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W38774257","https://openalex.org/W1585854823","https://openalex.org/W1977640460","https://openalex.org/W1990079212","https://openalex.org/W2005876975","https://openalex.org/W2009727399","https://openalex.org/W2056380775","https://openalex.org/W2063978378","https://openalex.org/W2078382802","https://openalex.org/W2099419573","https://openalex.org/W2107409339","https://openalex.org/W2110222014","https://openalex.org/W2124288185","https://openalex.org/W2130416896","https://openalex.org/W2133990480","https://openalex.org/W2143991132","https://openalex.org/W2151225423","https://openalex.org/W2169797554","https://openalex.org/W2172080108","https://openalex.org/W2618943439","https://openalex.org/W4235130247","https://openalex.org/W6635179022"],"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/W3208495060","https://openalex.org/W2740428142"],"abstract_inverted_index":{"There":[0],"has":[1],"been":[2],"an":[3,76],"increasing":[4],"research":[5],"interest":[6],"in":[7,89,159,176,194],"classification":[8,38,48],"for":[9],"data":[10,18,83],"streams.":[11],"Due":[12],"to":[13,26,56,65,104,133],"the":[14,28,36,51,59,67,80,106,115,122,136,141,147,150,155,160,164,180,185],"evolving":[15],"nature":[16],"of":[17,30,61,82,98,108,111,124,143,166],"streams,":[19],"it":[20],"is":[21,118,131],"a":[22,93],"highly":[23],"challenging":[24],"issue":[25],"detect":[27],"appearance":[29],"concept":[31,137],"drifts,":[32],"which":[33],"will":[34,153],"make":[35],"current":[37],"model":[39,125,157,161,167,187],"invalid":[40],"as":[41,102],"time":[42],"passes.":[43],"So":[44],"far":[45],"most":[46],"stream":[47],"solutions":[49],"exploit":[50],"so-called":[52],"incremental":[53],"learning":[54,129],"process":[55],"continuously":[57],"track":[58,184],"deviation":[60],"prediction":[62],"accuracy.":[63],"Unfortunately,":[64],"achieve":[66],"prompt":[68],"concept-drifting":[69],"detection,":[70],"such":[71],"strategies":[72],"usually":[73],"rely":[74],"on":[75,121],"infeasible":[77],"assumption":[78],"about":[79],"availability":[81],"instances":[84],"with":[85],"true":[86,112],"labels.":[87,113],"We":[88],"this":[90],"paper":[91],"propose":[92],"new":[94],"framework,":[95],"called":[96],"Inference":[97],"Concept":[99],"Evolution":[100],"(abbreviated":[101],"ICE),":[103],"minimize":[105],"need":[107,142,165],"real-time":[109],"acquisition":[110],"Specifically,":[114],"ICE":[116,151,181],"framework":[117,152,182],"devised":[119],"based":[120],"idea":[123],"reuse.":[126],"The":[127],"dictionary":[128],"technique":[130],"utilized":[132],"determine":[134],"whether":[135],"drift":[138,148],"appears":[139],"without":[140],"label":[144,172],"acquisition.":[145,173],"When":[146],"happens,":[149],"select":[154],"best":[156,186],"maintained":[158],"pool,":[162],"decreasing":[163],"re-training":[168],"and":[169,189],"its":[170,192],"costly":[171],"As":[174],"demonstrated":[175],"our":[177],"experimental":[178],"result,":[179],"can":[183],"correctly":[188],"efficiently,":[190],"showing":[191],"feasibility":[193],"real":[195],"cases.":[196]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
