{"id":"https://openalex.org/W4318472634","doi":"https://doi.org/10.3390/s23031520","title":"Online-Dynamic-Clustering-Based Soft Sensor for Industrial Semi-Supervised Data Streams","display_name":"Online-Dynamic-Clustering-Based Soft Sensor for Industrial Semi-Supervised Data Streams","publication_year":2023,"publication_date":"2023-01-30","ids":{"openalex":"https://openalex.org/W4318472634","doi":"https://doi.org/10.3390/s23031520","pmid":"https://pubmed.ncbi.nlm.nih.gov/36772560"},"language":"en","primary_location":{"id":"doi:10.3390/s23031520","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031520","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1520/pdf?version=1675066975","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/3/1520/pdf?version=1675066975","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031220349","display_name":"Yuechen Wang","orcid":"https://orcid.org/0000-0002-8723-6205"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuechen Wang","raw_affiliation_strings":["Department of Automation, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China","Yunnan Key Laboratory of Green Energy, Electric Power Measurement Digitalization, Control and Protection, Kunming 650500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China","institution_ids":["https://openalex.org/I10660446"]},{"raw_affiliation_string":"Yunnan Key Laboratory of Green Energy, Electric Power Measurement Digitalization, Control and Protection, Kunming 650500, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088041850","display_name":"Huaiping Jin","orcid":"https://orcid.org/0000-0003-2627-431X"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huaiping Jin","raw_affiliation_strings":["Department of Automation, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China","Yunnan Key Laboratory of Green Energy, Electric Power Measurement Digitalization, Control and Protection, Kunming 650500, China"],"raw_orcid":"https://orcid.org/0000-0003-2627-431X","affiliations":[{"raw_affiliation_string":"Department of Automation, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China","institution_ids":["https://openalex.org/I10660446"]},{"raw_affiliation_string":"Yunnan Key Laboratory of Green Energy, Electric Power Measurement Digitalization, Control and Protection, Kunming 650500, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080222208","display_name":"Xiangguang Chen","orcid":"https://orcid.org/0000-0001-7174-9519"},"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":"Xiangguang Chen","raw_affiliation_strings":["School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372317","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0001-9093-1535"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["Department of Automation, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067127013","display_name":"Biao Yang","orcid":"https://orcid.org/0000-0001-8159-4901"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Yang","raw_affiliation_strings":["Department of Automation, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015115331","display_name":"Bin Qian","orcid":"https://orcid.org/0000-0002-0048-1487"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Qian","raw_affiliation_strings":["Department of Automation, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5088041850"],"corresponding_institution_ids":["https://openalex.org/I10660446"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.3071,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87775176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"23","issue":"3","first_page":"1520","last_page":"1520"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9975000023841858,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.7179300785064697},{"id":"https://openalex.org/keywords/soft-sensor","display_name":"Soft sensor","score":0.679804265499115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6729469895362854},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6660024523735046},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6496960520744324},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5811048150062561},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.553456723690033},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5123757123947144},{"id":"https://openalex.org/keywords/dynamic-data","display_name":"Dynamic data","score":0.5052595734596252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4530274271965027},{"id":"https://openalex.org/keywords/process-state","display_name":"Process state","score":0.44894951581954956},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4202977418899536}],"concepts":[{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.7179300785064697},{"id":"https://openalex.org/C115575686","wikidata":"https://www.wikidata.org/wiki/Q18822403","display_name":"Soft sensor","level":3,"score":0.679804265499115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6729469895362854},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6660024523735046},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6496960520744324},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5811048150062561},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.553456723690033},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5123757123947144},{"id":"https://openalex.org/C197298091","wikidata":"https://www.wikidata.org/wiki/Q5318963","display_name":"Dynamic data","level":2,"score":0.5052595734596252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4530274271965027},{"id":"https://openalex.org/C183560197","wikidata":"https://www.wikidata.org/wiki/Q7247302","display_name":"Process state","level":3,"score":0.44894951581954956},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4202977418899536},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23031520","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031520","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1520/pdf?version=1675066975","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36772560","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36772560","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9920279","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9920279","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9920279/pdf/sensors-23-01520.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:7a3c6c061db44e8cb850c5e42d67454e","is_oa":true,"landing_page_url":"https://doaj.org/article/7a3c6c061db44e8cb850c5e42d67454e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 3, p 1520 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/3/1520/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23031520","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23031520","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031520","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1520/pdf?version=1675066975","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G2323182250","display_name":null,"funder_award_id":"202101AT070096","funder_id":"https://openalex.org/F4320332533","funder_display_name":"Applied Basic Research Foundation of Yunnan Province"},{"id":"https://openalex.org/G2547948051","display_name":null,"funder_award_id":"202101AT070096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3712630059","display_name":null,"funder_award_id":"62163019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3733511994","display_name":null,"funder_award_id":"61863020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332533","display_name":"Applied Basic Research Foundation of Yunnan Province","ror":"https://ror.org/030jhb479"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4318472634.pdf"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W181999525","https://openalex.org/W182707955","https://openalex.org/W1530632663","https://openalex.org/W1552172716","https://openalex.org/W1604256428","https://openalex.org/W1673310716","https://openalex.org/W1983597155","https://openalex.org/W1987799824","https://openalex.org/W2000651380","https://openalex.org/W2001474264","https://openalex.org/W2004186751","https://openalex.org/W2027815465","https://openalex.org/W2048442462","https://openalex.org/W2057712948","https://openalex.org/W2059247791","https://openalex.org/W2088684653","https://openalex.org/W2088698696","https://openalex.org/W2099302642","https://openalex.org/W2124334351","https://openalex.org/W2128462276","https://openalex.org/W2158054309","https://openalex.org/W2168667497","https://openalex.org/W2170936641","https://openalex.org/W2177019876","https://openalex.org/W2345715099","https://openalex.org/W2537240387","https://openalex.org/W2547908407","https://openalex.org/W2559950244","https://openalex.org/W2735591448","https://openalex.org/W2923990426","https://openalex.org/W2954681975","https://openalex.org/W2964337638","https://openalex.org/W2978054359","https://openalex.org/W2988984760","https://openalex.org/W3008408706","https://openalex.org/W3009266144","https://openalex.org/W3010725993","https://openalex.org/W3014675721","https://openalex.org/W3015790446","https://openalex.org/W3023056142","https://openalex.org/W3029495648","https://openalex.org/W3032150799","https://openalex.org/W3044439675","https://openalex.org/W3045455261","https://openalex.org/W3049640903","https://openalex.org/W3080801349","https://openalex.org/W3083725873","https://openalex.org/W3093656051","https://openalex.org/W3104083384","https://openalex.org/W3113748901","https://openalex.org/W3127995199","https://openalex.org/W3135396474","https://openalex.org/W3156641805","https://openalex.org/W3160295382","https://openalex.org/W3198238235","https://openalex.org/W3203127079","https://openalex.org/W4210702525","https://openalex.org/W4212883601","https://openalex.org/W4283394709","https://openalex.org/W4297518356","https://openalex.org/W6676769703","https://openalex.org/W6698233743","https://openalex.org/W6756306807"],"related_works":["https://openalex.org/W2008316021","https://openalex.org/W1583949593","https://openalex.org/W2333996189","https://openalex.org/W3014300295","https://openalex.org/W2574432753","https://openalex.org/W2036575842","https://openalex.org/W4312609022","https://openalex.org/W2518702994","https://openalex.org/W2376797789","https://openalex.org/W3007711125"],"abstract_inverted_index":{"In":[0,87,191],"the":[1,14,50,68,73,199,211,229,250],"era":[2],"of":[3,16,137,151,201],"big":[4],"data,":[5],"industrial":[6,89,126],"process":[7,21,45,51,74,90,152,179,230],"data":[8,27,82,91,128,231,265],"are":[9,57,162],"often":[10,93],"generated":[11],"rapidly":[12],"in":[13,28,49,178,228,262],"form":[15],"streams.":[17,129],"Thus,":[18],"how":[19],"to":[20,197,209,258],"such":[22,96],"sequential":[23],"and":[24,31,47,101,135,139,158,175,181,204,224,234],"high-speed":[25],"stream":[26,232,266],"real":[29],"time":[30],"provide":[32,84],"critical":[33,40],"quality":[34],"variable":[35,239],"predictions":[36],"has":[37],"become":[38],"a":[39,263],"issue":[41],"for":[42,108,125],"facilitating":[43],"efficient":[44],"control":[46],"monitoring":[48],"industry.":[52],"Traditionally,":[53],"soft":[54,77,111,120,253,260],"sensor":[55,112,121,254],"models":[56],"usually":[58],"built":[59,79],"through":[60,142,164],"offline":[61],"batch":[62],"learning,":[63],"which":[64,104,170],"remain":[65],"unchanged":[66],"during":[67],"online":[69,143,148],"implementation":[70],"phase.":[71],"Once":[72],"state":[75],"changes,":[76],"sensors":[78,261],"from":[80,244],"historical":[81],"cannot":[83],"accurate":[85],"predictions.":[86,240],"practice,":[88],"streams":[92],"exhibit":[94],"characteristics":[95,180],"as":[97],"nonlinearity,":[98,222],"time-varying":[99],"behavior,":[100],"label":[102,225],"scarcity,":[103],"pose":[105],"great":[106],"challenges":[107],"building":[109],"high-performance":[110],"models.":[113],"To":[114],"address":[115],"this":[116],"issue,":[117],"an":[118,165],"online-dynamic-clustering-based":[119],"(ODCSS)":[122],"is":[123,195,256],"proposed":[124,216,251],"semi-supervised":[127,193,264],"The":[130,215,241],"method":[131,217],"achieves":[132],"automatic":[133],"generation":[134],"update":[136],"clusters":[138],"samples":[140,203,208],"deletion":[141],"dynamic":[144,149],"clustering,":[145],"thus":[146,182,235],"enabling":[147],"identification":[150],"states.":[153],"Meanwhile,":[154],"selective":[155],"ensemble":[156],"learning":[157,160,194],"just-in-time":[159],"(JITL)":[161],"employed":[163],"adaptive":[166],"switching":[167],"prediction":[168],"strategy,":[169],"enables":[171],"dealing":[172],"with":[173,221],"gradual":[174],"abrupt":[176],"changes":[177],"alleviates":[183],"model":[184],"performance":[185],"degradation":[186],"caused":[187],"by":[188],"concept":[189],"drift.":[190],"addition,":[192],"introduced":[196],"exploit":[198],"information":[200],"unlabeled":[202],"obtain":[205],"high-confidence":[206],"pseudo-labeled":[207],"expand":[210],"labeled":[212],"training":[213],"set.":[214],"can":[218],"effectively":[219],"deal":[220],"time-variability,":[223],"scarcity":[226],"issues":[227],"environment":[233],"enable":[236],"reliable":[237],"target":[238],"application":[242],"results":[243],"two":[245],"case":[246],"studies":[247],"show":[248],"that":[249],"ODCSS":[252],"approach":[255],"superior":[257],"conventional":[259],"environment.":[267]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}