{"id":"https://openalex.org/W4293577731","doi":"https://doi.org/10.1007/s11063-022-11015-0","title":"Concept Drift Adaptation for Time Series Anomaly Detection via Transformer","display_name":"Concept Drift Adaptation for Time Series Anomaly Detection via Transformer","publication_year":2022,"publication_date":"2022-08-28","ids":{"openalex":"https://openalex.org/W4293577731","doi":"https://doi.org/10.1007/s11063-022-11015-0"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-022-11015-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11063-022-11015-0","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-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/A5032101339","display_name":"Chaoyue Ding","orcid":"https://orcid.org/0009-0000-0161-4838"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chaoyue Ding","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, 3663 North Zhongshan Road, Shanghai, 200062, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, 3663 North Zhongshan Road, Shanghai, 200062, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065846668","display_name":"Jing Zhao","orcid":"https://orcid.org/0000-0003-0158-5330"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhao","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, 3663 North Zhongshan Road, Shanghai, 200062, China"],"raw_orcid":"https://orcid.org/0000-0003-0158-5330","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, 3663 North Zhongshan Road, Shanghai, 200062, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047846625","display_name":"Shiliang Sun","orcid":"https://orcid.org/0000-0001-7069-3752"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiliang Sun","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, 3663 North Zhongshan Road, Shanghai, 200062, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, 3663 North Zhongshan Road, Shanghai, 200062, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032101339"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":3.1908,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.92814958,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"55","issue":"3","first_page":"2081","last_page":"2101"},"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":0.9997000098228455,"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":0.9980000257492065,"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/anomaly-detection","display_name":"Anomaly detection","score":0.783043622970581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6829344034194946},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5526832938194275},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.501166582107544},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.46721282601356506},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.4481809735298157},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4173923134803772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.384174108505249},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3803279995918274},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33054232597351074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3210185468196869},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10654717683792114},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09537133574485779},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.0873447060585022}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.783043622970581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6829344034194946},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5526832938194275},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.501166582107544},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.46721282601356506},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.4481809735298157},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4173923134803772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.384174108505249},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3803279995918274},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33054232597351074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3210185468196869},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10654717683792114},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09537133574485779},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.0873447060585022},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-022-11015-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11063-022-11015-0","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1585854823","https://openalex.org/W2045064676","https://openalex.org/W2064675550","https://openalex.org/W2137690751","https://openalex.org/W2191950414","https://openalex.org/W2567172578","https://openalex.org/W2620661538","https://openalex.org/W2743617586","https://openalex.org/W2786827964","https://openalex.org/W2790057819","https://openalex.org/W2906498146","https://openalex.org/W2911200746","https://openalex.org/W2950361482","https://openalex.org/W2962736999","https://openalex.org/W2964199361","https://openalex.org/W2966734812","https://openalex.org/W3024307936","https://openalex.org/W3035251378","https://openalex.org/W3046711798","https://openalex.org/W3080253043","https://openalex.org/W3081530595","https://openalex.org/W3106543020","https://openalex.org/W3153970166","https://openalex.org/W3163857886","https://openalex.org/W3169450514","https://openalex.org/W3177318507","https://openalex.org/W3207999419","https://openalex.org/W3210000287","https://openalex.org/W4205902690","https://openalex.org/W4220796488","https://openalex.org/W4234482043","https://openalex.org/W6600373086"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}