{"id":"https://openalex.org/W2807737462","doi":"https://doi.org/10.1109/tpami.2018.2847699","title":"Salient Subsequence Learning for Time Series Clustering","display_name":"Salient Subsequence Learning for Time Series Clustering","publication_year":2018,"publication_date":"2018-06-15","ids":{"openalex":"https://openalex.org/W2807737462","doi":"https://doi.org/10.1109/tpami.2018.2847699","mag":"2807737462","pmid":"https://pubmed.ncbi.nlm.nih.gov/29994654"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2018.2847699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2018.2847699","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101914088","display_name":"Qin Zhang","orcid":"https://orcid.org/0000-0002-1023-480X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qin Zhang","raw_affiliation_strings":["Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1023-480X","affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007475662","display_name":"Jia Wu","orcid":"https://orcid.org/0000-0002-1371-5801"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jia Wu","raw_affiliation_strings":["Centre for Artificial Intelligence, University of Technology Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1371-5801","affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, University of Technology Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-5715-7154"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["Ant Financial Service Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5715-7154","affiliations":[{"raw_affiliation_string":"Ant Financial Service Group, Hangzhou, China","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059227406","display_name":"Guodong Long","orcid":"https://orcid.org/0000-0003-3740-9515"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guodong Long","raw_affiliation_strings":["Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0003-3740-9515","affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100438525","display_name":"Chengqi Zhang","orcid":"https://orcid.org/0000-0001-5715-7154"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chengqi Zhang","raw_affiliation_strings":["Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.8889,"has_fulltext":false,"cited_by_count":109,"citation_normalized_percentile":{"value":0.97765101,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"41","issue":"9","first_page":"2193","last_page":"2207"},"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9664999842643738,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.939300000667572,"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/computer-science","display_name":"Computer science","score":0.6965468525886536},{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.693099856376648},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6814589500427246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6624932885169983},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6126177310943604},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5360399484634399},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5112240314483643},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4900001585483551},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.46876639127731323},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4408538341522217},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.42749568819999695},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20553171634674072}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6965468525886536},{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.693099856376648},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6814589500427246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6624932885169983},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6126177310943604},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5360399484634399},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5112240314483643},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4900001585483551},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.46876639127731323},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4408538341522217},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.42749568819999695},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20553171634674072},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2018.2847699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2018.2847699","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:29994654","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29994654","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":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/131566","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/131566","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","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":71,"referenced_works":["https://openalex.org/W120692785","https://openalex.org/W141062567","https://openalex.org/W1607408214","https://openalex.org/W1644402181","https://openalex.org/W1789163674","https://openalex.org/W1894414046","https://openalex.org/W1952331239","https://openalex.org/W1967810897","https://openalex.org/W1975257359","https://openalex.org/W1978371851","https://openalex.org/W1983193016","https://openalex.org/W1984674851","https://openalex.org/W1993855803","https://openalex.org/W1994200512","https://openalex.org/W1996978148","https://openalex.org/W2009501510","https://openalex.org/W2011208599","https://openalex.org/W2027096757","https://openalex.org/W2029438113","https://openalex.org/W2030863907","https://openalex.org/W2033403400","https://openalex.org/W2033852356","https://openalex.org/W2035104901","https://openalex.org/W2037537012","https://openalex.org/W2056935845","https://openalex.org/W2058168013","https://openalex.org/W2078559879","https://openalex.org/W2079247126","https://openalex.org/W2080501585","https://openalex.org/W2081028405","https://openalex.org/W2084028080","https://openalex.org/W2084376194","https://openalex.org/W2084616221","https://openalex.org/W2099302229","https://openalex.org/W2100774779","https://openalex.org/W2110908910","https://openalex.org/W2112056172","https://openalex.org/W2121970368","https://openalex.org/W2123224804","https://openalex.org/W2123502857","https://openalex.org/W2128873747","https://openalex.org/W2129066856","https://openalex.org/W2131328961","https://openalex.org/W2132914434","https://openalex.org/W2137596615","https://openalex.org/W2141122175","https://openalex.org/W2144796873","https://openalex.org/W2148298736","https://openalex.org/W2149620660","https://openalex.org/W2152542198","https://openalex.org/W2153338628","https://openalex.org/W2158933803","https://openalex.org/W2171701641","https://openalex.org/W2171837816","https://openalex.org/W2400411405","https://openalex.org/W2400798192","https://openalex.org/W2402972623","https://openalex.org/W2466187631","https://openalex.org/W2532798634","https://openalex.org/W2575525980","https://openalex.org/W4210371587","https://openalex.org/W4244030505","https://openalex.org/W4250589301","https://openalex.org/W6604905834","https://openalex.org/W6605792473","https://openalex.org/W6636281135","https://openalex.org/W6641027421","https://openalex.org/W6652451885","https://openalex.org/W6681822384","https://openalex.org/W6682529325","https://openalex.org/W6732023718"],"related_works":["https://openalex.org/W2996768723","https://openalex.org/W4212895949","https://openalex.org/W4230102134","https://openalex.org/W4247866870","https://openalex.org/W2112772040","https://openalex.org/W3216774880","https://openalex.org/W2078387789","https://openalex.org/W2051502035","https://openalex.org/W4301400600","https://openalex.org/W4300143076"],"abstract_inverted_index":{"Time":[0],"series":[1,16,32,91,141,177],"has":[2],"been":[3],"a":[4,45,56,64,79,150],"popular":[5],"research":[6],"topic":[7],"over":[8],"the":[9,20,107,119],"past":[10],"decade.":[11],"Salient":[12,98],"subsequences":[13,39],"of":[14,37,59,109,121],"time":[15,31,46,80,90,140,176],"that":[17,103,156,171],"can":[18,159],"benefit":[19],"learning":[21,33,74,86,115,178],"task,":[22],"e.g.,":[23],"classification":[24],"or":[25],"clustering,":[26],"are":[27],"called":[28],"shapelets.":[29],"Shapelet-based":[30],"extracts":[34],"these":[35],"types":[36],"salient":[38],"with":[40,163],"highly":[41],"informative":[42],"features":[43],"from":[44,88],"series.":[47],"Most":[48],"existing":[49],"methods":[50],"for":[51],"shapelet":[52,122,124],"discovery":[53],"must":[54],"scan":[55],"large":[57],"pool":[58],"candidate":[60],"subsequences,":[61],"which":[62],"is":[63,146],"time-consuming":[65],"process.":[66],"A":[67],"recent":[68],"work,":[69],"[1]":[70],",":[71],"uses":[72],"regression":[73],"to":[75,130,136],"discover":[76],"shapelets":[77,87,105,135],"in":[78],"series;":[81],"however,":[82],"it":[83],"only":[84],"considers":[85],"labeled":[89],"data.":[92],"This":[93],"paper":[94],"proposes":[95],"an":[96],"Unsupervised":[97],"Subsequence":[99],"Learning":[100],"(USSL)":[101],"model":[102,145],"discovers":[104],"without":[106],"effort":[108],"labeling.":[110],"We":[111],"developed":[112],"this":[113],"new":[114],"function":[116],"by":[117],"integrating":[118],"strengths":[120],"learning,":[123],"regularization,":[125],"spectral":[126],"analysis":[127],"and":[128,132,168],"pseudo-label":[129],"simultaneously":[131],"automatically":[133],"learn":[134,160],"help":[137],"clustering":[138],"unlabeled":[139],"better.":[142],"The":[143],"optimization":[144],"iteratively":[147],"solved":[148],"via":[149],"coordinate":[151],"descent":[152],"algorithm.":[153],"Experiments":[154],"show":[155],"our":[157],"USSL":[158],"meaningful":[161],"shapelets,":[162],"promising":[164],"results":[165],"on":[166],"real-world":[167],"synthetic":[169],"data":[170],"surpass":[172],"current":[173],"state-of-the-art":[174],"unsupervised":[175],"methods.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":6}],"updated_date":"2026-07-14T08:27:34.040176","created_date":"2025-10-10T00:00:00"}
