{"id":"https://openalex.org/W3150578072","doi":"https://doi.org/10.1007/978-3-030-73280-6_63","title":"Trident: Change Point Detection for Multivariate Time Series via Dual-Level Attention Learning","display_name":"Trident: Change Point Detection for Multivariate Time Series via Dual-Level Attention Learning","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3150578072","doi":"https://doi.org/10.1007/978-3-030-73280-6_63","mag":"3150578072"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-73280-6_63","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-73280-6_63","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5011459308","display_name":"Ziyi Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyi Duan","raw_affiliation_strings":["Shanghai University of Electric Power, Shanghai, 200090, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power, Shanghai, 200090, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028781275","display_name":"Haizhou Du","orcid":"https://orcid.org/0000-0002-1875-5159"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haizhou Du","raw_affiliation_strings":["Shanghai University of Electric Power, Shanghai, 200090, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power, Shanghai, 200090, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101595540","display_name":"Yang Zheng","orcid":"https://orcid.org/0000-0001-9114-1527"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zheng","raw_affiliation_strings":["Shanghai University of Electric Power, Shanghai, 200090, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power, Shanghai, 200090, China","institution_ids":["https://openalex.org/I23632641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I23632641"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"799","last_page":"810"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9976000189781189,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9976000189781189,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9217000007629395,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8239372372627258},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.7801044583320618},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6148067116737366},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6128958463668823},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5806843638420105},{"id":"https://openalex.org/keywords/trident","display_name":"Trident","score":0.5782960653305054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5321679711341858},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5026423931121826},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4888858199119568},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4859398603439331},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4531632959842682},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42586731910705566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09002983570098877}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8239372372627258},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.7801044583320618},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6148067116737366},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6128958463668823},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5806843638420105},{"id":"https://openalex.org/C2777909563","wikidata":"https://www.wikidata.org/wiki/Q271628","display_name":"Trident","level":2,"score":0.5782960653305054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5321679711341858},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5026423931121826},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4888858199119568},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4859398603439331},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4531632959842682},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42586731910705566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09002983570098877},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-73280-6_63","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-73280-6_63","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W164607750","https://openalex.org/W1483365869","https://openalex.org/W1965102630","https://openalex.org/W2028563099","https://openalex.org/W2131774270","https://openalex.org/W2296521892","https://openalex.org/W2515822248","https://openalex.org/W2525449401","https://openalex.org/W2584992898","https://openalex.org/W2613328025","https://openalex.org/W2785362611","https://openalex.org/W2786827964","https://openalex.org/W2787184176","https://openalex.org/W2796013264","https://openalex.org/W2808535700","https://openalex.org/W2910862205","https://openalex.org/W2949468773","https://openalex.org/W2950361482","https://openalex.org/W2952296662","https://openalex.org/W2964308564","https://openalex.org/W2964336507","https://openalex.org/W2980994438","https://openalex.org/W3007066689","https://openalex.org/W3098957257","https://openalex.org/W3106543020"],"related_works":["https://openalex.org/W4230348452","https://openalex.org/W4245382322","https://openalex.org/W2906485148","https://openalex.org/W1538945216","https://openalex.org/W1980615156","https://openalex.org/W4254527673","https://openalex.org/W2082297161","https://openalex.org/W1502818939","https://openalex.org/W347006288","https://openalex.org/W4387250752"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}