{"id":"https://openalex.org/W4362655576","doi":"https://doi.org/10.14778/3583140.3583155","title":"OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting","display_name":"OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting","publication_year":2023,"publication_date":"2023-02-01","ids":{"openalex":"https://openalex.org/W4362655576","doi":"https://doi.org/10.14778/3583140.3583155"},"language":"en","primary_location":{"id":"doi:10.14778/3583140.3583155","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3583140.3583155","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2304.01506","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108459503","display_name":"Xiao He","orcid":"https://orcid.org/0000-0002-3000-0795"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiao He","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339233","display_name":"Ye Li","orcid":"https://orcid.org/0000-0002-5351-8546"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ye Li","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101812238","display_name":"Jian Tan","orcid":"https://orcid.org/0000-0002-1080-9300"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Tan","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007360737","display_name":"Bin Wu","orcid":"https://orcid.org/0000-0002-4743-1006"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Wu","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100450470","display_name":"Feifei Li","orcid":"https://orcid.org/0009-0003-0770-5775"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feifei Li","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5108459503"],"corresponding_institution_ids":["https://openalex.org/I4210095624"],"apc_list":null,"apc_paid":null,"fwci":7.0031,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.9793757,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"16","issue":"6","first_page":"1399","last_page":"1412"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9993000030517578,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9876999855041504,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7700183391571045},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7218753099441528},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7088170051574707},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6646472215652466},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6483493447303772},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.5970403552055359},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5967462062835693},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.49991726875305176},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4833945333957672},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.44495075941085815},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.41544556617736816},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32833635807037354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26339656114578247},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07415121793746948}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7700183391571045},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7218753099441528},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7088170051574707},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6646472215652466},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6483493447303772},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.5970403552055359},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5967462062835693},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.49991726875305176},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4833945333957672},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.44495075941085815},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.41544556617736816},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32833635807037354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26339656114578247},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07415121793746948},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14778/3583140.3583155","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3583140.3583155","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2304.01506","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.01506","pdf_url":"https://arxiv.org/pdf/2304.01506","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2304.01506","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.01506","pdf_url":"https://arxiv.org/pdf/2304.01506","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4362655576.pdf","grobid_xml":"https://content.openalex.org/works/W4362655576.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W27994497","https://openalex.org/W1969852690","https://openalex.org/W2087714402","https://openalex.org/W2109316012","https://openalex.org/W2702877955","https://openalex.org/W2744796818","https://openalex.org/W2747329762","https://openalex.org/W2903718010","https://openalex.org/W2909447068","https://openalex.org/W2963166639","https://openalex.org/W2963440486","https://openalex.org/W2963922383","https://openalex.org/W2964758013","https://openalex.org/W2965206958","https://openalex.org/W2980994438","https://openalex.org/W2988244882","https://openalex.org/W2996552856","https://openalex.org/W3007098654","https://openalex.org/W3080157892","https://openalex.org/W3081497074","https://openalex.org/W3121710282","https://openalex.org/W3135644052","https://openalex.org/W3176476506","https://openalex.org/W3177318507","https://openalex.org/W3186618950","https://openalex.org/W3199473923","https://openalex.org/W4225494949","https://openalex.org/W4225539031","https://openalex.org/W4236105139","https://openalex.org/W4280626475","https://openalex.org/W4283317423","https://openalex.org/W4283318673","https://openalex.org/W4283324222","https://openalex.org/W4290878309","https://openalex.org/W4310750922","https://openalex.org/W4312750676"],"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/W3014558862","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W205872183"],"abstract_inverted_index":{"Seasonal-trend":[0],"decomposition":[1,27],"is":[2,44,94,130],"one":[3],"of":[4,37,47,90],"the":[5,45,102,109,140],"most":[6],"fundamental":[7],"concepts":[8],"in":[9],"time":[10,19,35,52,82,88,120],"series":[11,20,83,121],"analysis":[12,61],"that":[13,62,79,128],"supports":[14],"various":[15],"downstream":[16,119],"tasks,":[17],"including":[18],"anomaly":[21,122],"detection":[22,123],"and":[23,76,124],"forecasting.":[24],"However,":[25],"existing":[26],"methods":[28],"rely":[29],"on":[30,114],"batch":[31,103],"processing":[32,65],"with":[33,85,105],"a":[34,51],"complexity":[36,89],"O":[38,91],"(":[39],"W":[40,43],"),":[41],"where":[42],"number":[46],"data":[48],"points":[49],"within":[50],"window.":[53],"Therefore,":[54],"they":[55],"cannot":[56],"always":[57],"efficiently":[58],"support":[59],"real-time":[60],"demands":[63],"low":[64],"delay.":[66],"To":[67],"address":[68],"this":[69],"challenge,":[70],"we":[71],"propose":[72],"OneShotSTL,":[73],"an":[74,86],"efficient":[75],"accurate":[77],"algorithm":[78],"can":[80],"decompose":[81],"online":[84],"update":[87],"(1).":[92],"OneShotSTL":[93,129],"more":[95],"than":[96,101,139],"1,":[97,135],"000":[98,136],"times":[99,137],"faster":[100,138],"methods,":[104,142],"accuracy":[106],"comparable":[107,146],"to":[108,133],"best":[110],"counterparts.":[111],"Extensive":[112],"experiments":[113],"real-world":[115],"benchmark":[116],"datasets":[117],"for":[118],"forecasting":[125],"tasks":[126],"demonstrate":[127],"from":[131],"10":[132],"over":[134],"state-of-the-art":[141],"while":[143],"still":[144],"providing":[145],"or":[147],"even":[148],"better":[149],"accuracy.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2023-04-07T00:00:00"}
