{"id":"https://openalex.org/W3006639312","doi":"https://doi.org/10.1109/icce-tw46550.2019.8991757","title":"Learning with Drift Detection based on k Time Sub-concept Windows","display_name":"Learning with Drift Detection based on k Time Sub-concept Windows","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W3006639312","doi":"https://doi.org/10.1109/icce-tw46550.2019.8991757","mag":"3006639312"},"language":"en","primary_location":{"id":"doi:10.1109/icce-tw46550.2019.8991757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw46550.2019.8991757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)","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/A5100418783","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-2011-2873"},"institutions":[{"id":"https://openalex.org/I93477617","display_name":"Huizhou University","ror":"https://ror.org/03q3s7962","country_code":"CN","type":"education","lineage":["https://openalex.org/I93477617"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Liu","raw_affiliation_strings":["School of Information Science and Technology, Huizhou University,Huizhou,China,516007","School of Information Science and Technology, Huizhou University, Huizhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Huizhou University,Huizhou,China,516007","institution_ids":["https://openalex.org/I93477617"]},{"raw_affiliation_string":"School of Information Science and Technology, Huizhou University, Huizhou, China","institution_ids":["https://openalex.org/I93477617"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018458084","display_name":"Nathalie Japkowicz","orcid":"https://orcid.org/0000-0003-1176-1617"},"institutions":[{"id":"https://openalex.org/I181401687","display_name":"American University","ror":"https://ror.org/052w4zt36","country_code":"US","type":"education","lineage":["https://openalex.org/I181401687"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathalie Japkowicz","raw_affiliation_strings":["American University,Department of Computer Science,Washington, DC,USA","Department of Computer Science, American University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"American University,Department of Computer Science,Washington, DC,USA","institution_ids":["https://openalex.org/I181401687"]},{"raw_affiliation_string":"Department of Computer Science, American University, Washington, DC, USA","institution_ids":["https://openalex.org/I181401687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062430620","display_name":"Dan Tao","orcid":"https://orcid.org/0000-0002-7368-2132"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Tao","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University,Beijing,China,100044","School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113340403","display_name":"Zhen Liu","orcid":"https://orcid.org/0009-0001-9786-0909"},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]},{"id":"https://openalex.org/I190242452","display_name":"Guangdong Pharmaceutical University","ror":"https://ror.org/02vg7mz57","country_code":"CN","type":"education","lineage":["https://openalex.org/I190242452"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Liu","raw_affiliation_strings":["College of Medical Information Engineering, Guangdong Pharmaceutical University,Guanzhou,China,510006","College of Medical Information Engineering, Guangdong Pharmaceutical University, Guanzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Medical Information Engineering, Guangdong Pharmaceutical University,Guanzhou,China,510006","institution_ids":["https://openalex.org/I190242452","https://openalex.org/I176834541"]},{"raw_affiliation_string":"College of Medical Information Engineering, Guangdong Pharmaceutical University, Guanzhou, China","institution_ids":["https://openalex.org/I190242452"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100418783"],"corresponding_institution_ids":["https://openalex.org/I93477617"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60233057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9696999788284302,"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":0.9663000106811523,"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":0.9579881429672241},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.788583517074585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7812633514404297},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.7609608173370361},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.6758232712745667},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.5052877068519592},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47162318229675293},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.47087132930755615},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.4399992525577545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3414508104324341},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07094824314117432}],"concepts":[{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.9579881429672241},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.788583517074585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7812633514404297},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.7609608173370361},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.6758232712745667},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.5052877068519592},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47162318229675293},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.47087132930755615},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4399992525577545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3414508104324341},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07094824314117432},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-tw46550.2019.8991757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw46550.2019.8991757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)","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":6,"referenced_works":["https://openalex.org/W27170557","https://openalex.org/W1585854823","https://openalex.org/W2097178527","https://openalex.org/W2743178907","https://openalex.org/W2747716660","https://openalex.org/W2903578210"],"related_works":["https://openalex.org/W4281572076","https://openalex.org/W127192698","https://openalex.org/W4307392573","https://openalex.org/W2802243998","https://openalex.org/W2469699777","https://openalex.org/W2736127210","https://openalex.org/W2060628068","https://openalex.org/W3208495060","https://openalex.org/W2277307313","https://openalex.org/W2235038291"],"abstract_inverted_index":{"Concept":[0],"drift":[1,25,106],"detection":[2,26],"has":[3],"attracted":[4],"much":[5],"interest":[6],"lately,":[7],"due":[8],"to":[9,50,135],"the":[10,30,67,84,126,137,161],"fact":[11],"that":[12,70,88,149],"a":[13,34,40,72,92,105,115,121],"massive":[14],"amount":[15],"of":[16,33,139],"streaming":[17],"data":[18,41,93,131,143],"are":[19,46,74,133],"continuously":[20],"being":[21],"generated.":[22],"Traditional":[23],"concept":[24,73,122],"methods,":[27],"based":[28,86,159],"on":[29,160],"monitoring":[31],"performance":[32],"base":[35],"learner":[36],"over":[37],"instances":[38,90,109,118],"from":[39,91,110],"stream's":[42,94],"whole":[43,95,162],"time":[44,96,163],"window,":[45],"not":[47,58,75],"sensitive":[48],"enough":[49],"sub-concept":[51],"drifts":[52],"and":[53,102,155],"discover":[54],"them":[55],"late":[56],"or":[57],"at":[59],"all.":[60],"This":[61],"is":[62],"because":[63],"when":[64],"aggregated":[65],"together,":[66],"sub-":[68],"concepts":[69],"form":[71],"carefully":[76],"described.":[77],"To":[78],"solve":[79],"this":[80],"problem,":[81],"we":[82,124],"propose":[83],"kTSW":[85],"method":[87,141,151],"divides":[89],"window":[97],"into":[98],"\\pmbk":[99],"subconcept":[100],"windows,":[101],"then":[103],"builds":[104],"monitor":[107],"for":[108],"each":[111],"sub":[112,116],"window.":[113,164],"Once":[114],"window's":[117],"have":[119],"experienced":[120],"drift,":[123],"update":[125],"learned":[127],"model.":[128],"Two":[129],"real":[130],"sets":[132],"used":[134],"verify":[136],"validity":[138],"our":[140,150],"in":[142],"stream":[144],"classification.":[145],"Experimental":[146],"results":[147],"show":[148],"obtained":[152],"higher":[153],"accuracy":[154],"recall":[156],"than":[157],"methods":[158]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
