{"id":"https://openalex.org/W4413978625","doi":"https://doi.org/10.1109/jiot.2025.3605933","title":"Multivariate Time Series Anomaly Detection With Hierarchical Component-Aware","display_name":"Multivariate Time Series Anomaly Detection With Hierarchical Component-Aware","publication_year":2025,"publication_date":"2025-09-04","ids":{"openalex":"https://openalex.org/W4413978625","doi":"https://doi.org/10.1109/jiot.2025.3605933"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3605933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3605933","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","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/A5114860056","display_name":"Han Liu","orcid":"https://orcid.org/0000-0002-0102-9484"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Liu","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-0102-9484","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062394519","display_name":"Zheng Zhang","orcid":"https://orcid.org/0000-0003-1109-1369"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000337879","display_name":"Liang Xi","orcid":"https://orcid.org/0000-0002-2736-829X"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Xi","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-2736-829X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045344252","display_name":"Fengbin Zhang","orcid":"https://orcid.org/0000-0002-8609-5340"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengbin Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-8609-5340","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I100188998"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11680766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"22","first_page":"48587","last_page":"48596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9950000047683716,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9883999824523926,"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/computer-science","display_name":"Computer science","score":0.7264968752861023},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7143531441688538},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6184573173522949},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6091305017471313},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6084933876991272},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5466291904449463},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4457218050956726},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4362204670906067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4208366870880127},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40242376923561096},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21874040365219116},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07597622275352478}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7264968752861023},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7143531441688538},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6184573173522949},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6091305017471313},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6084933876991272},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5466291904449463},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4457218050956726},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4362204670906067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4208366870880127},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40242376923561096},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21874040365219116},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07597622275352478},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3605933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3605933","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","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":37,"referenced_works":["https://openalex.org/W1788497923","https://openalex.org/W2021660846","https://openalex.org/W2112796928","https://openalex.org/W2123119012","https://openalex.org/W2159236148","https://openalex.org/W2407991977","https://openalex.org/W2517194566","https://openalex.org/W2604247107","https://openalex.org/W2747599906","https://openalex.org/W2785362611","https://openalex.org/W2950361482","https://openalex.org/W3004207920","https://openalex.org/W3039664741","https://openalex.org/W3044515030","https://openalex.org/W3077420696","https://openalex.org/W3080157892","https://openalex.org/W3081497074","https://openalex.org/W3135534956","https://openalex.org/W3170937175","https://openalex.org/W3178367256","https://openalex.org/W3184127157","https://openalex.org/W3217174898","https://openalex.org/W4211172221","https://openalex.org/W4283318673","https://openalex.org/W4306317275","https://openalex.org/W4321020991","https://openalex.org/W4376616204","https://openalex.org/W4380740233","https://openalex.org/W4382203079","https://openalex.org/W4387806925","https://openalex.org/W4392908080","https://openalex.org/W4395680495","https://openalex.org/W4401726201","https://openalex.org/W4401835980","https://openalex.org/W4402082023","https://openalex.org/W4407240710","https://openalex.org/W4411011426"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"Multivariate":[0],"time":[1,33,56,84],"series":[2,34,57,85],"anomaly":[3],"detection":[4],"(MTSAD)":[5],"remains":[6],"challenging":[7],"due":[8],"to":[9,25,39,81,106],"the":[10,83],"complexity":[11],"of":[12],"spatiotemporal":[13,123],"dependencies,":[14],"non-stationary":[15],"dynamics,":[16],"and":[17,30,96],"heterogeneous":[18],"variable":[19],"interactions.":[20],"Existing":[21],"methods":[22],"often":[23],"struggle":[24],"simultaneously":[26],"model":[27,108],"correlations":[28,118],"within":[29],"across":[31],"different":[32],"components,":[35],"limiting":[36],"their":[37],"ability":[38],"capture":[40],"hierarchical":[41],"patterns":[42],"at":[43],"multiple":[44,87],"scales.":[45],"To":[46],"address":[47],"these":[48,117],"issues,":[49],"we":[50,73,100],"propose":[51],"HCAAD":[52,132],"(Hierarchical":[53],"Component-Aware":[54],"multivariate":[55],"Anomaly":[58],"Detection),":[59],"an":[60],"unsupervised":[61],"framework":[62],"that":[63,131],"combines":[64],"frequency-adaptive":[65],"multiscale":[66],"decomposition":[67,80],"with":[68],"cross-component":[69],"correlation":[70,104],"modeling.":[71],"First,":[72],"use":[74],"a":[75,102],"Fast":[76],"Fourier":[77],"Transform":[78],"(FFT)-based":[79],"split":[82],"into":[86],"components.":[88],"This":[89],"step":[90],"isolates":[91],"long-term":[92],"trends,":[93],"seasonal":[94],"cycles,":[95],"transient":[97],"fluctuations.":[98],"Second,":[99],"design":[101],"dynamic":[103],"matrix":[105],"explicitly":[107],"intra-and":[109],"inter-component":[110],"dependencies.":[111],"An":[112],"attention":[113],"mechanism":[114],"further":[115],"refines":[116],"by":[119],"adaptively":[120],"integrating":[121],"global":[122],"patterns.":[124],"Experiments":[125],"on":[126],"six":[127],"benchmark":[128],"datasets":[129],"show":[130],"consistently":[133],"achieves":[134],"state-of-the-art":[135],"performance.":[136]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}