{"id":"https://openalex.org/W4399881635","doi":"https://doi.org/10.1109/tkde.2024.3417303","title":"Persistence-Based Motif Discovery in Time Series","display_name":"Persistence-Based Motif Discovery in Time Series","publication_year":2024,"publication_date":"2024-06-21","ids":{"openalex":"https://openalex.org/W4399881635","doi":"https://doi.org/10.1109/tkde.2024.3417303"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2024.3417303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3417303","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"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 Knowledge and Data Engineering","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/A5005300464","display_name":"Thibaut Germain","orcid":"https://orcid.org/0009-0002-4687-0581"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4403386768","display_name":"Centre Borelli","ror":"https://ror.org/02hcn4061","country_code":"FR","type":"facility","lineage":["https://openalex.org/I11559806","https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I277688954","https://openalex.org/I4210129973","https://openalex.org/I4210136310","https://openalex.org/I4403386768"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Thibaut Germain","raw_affiliation_strings":["Universit&#x00E9; Paris Cit&#x00E9;, ENS Paris Saclay, CNRS, SSA, INSERM, Centre Borelli, Universit&#x00E9; Paris Saclay, Gif-sur-Yvette, France"],"raw_orcid":"https://orcid.org/0009-0002-4687-0581","affiliations":[{"raw_affiliation_string":"Universit&#x00E9; Paris Cit&#x00E9;, ENS Paris Saclay, CNRS, SSA, INSERM, Centre Borelli, Universit&#x00E9; Paris Saclay, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I277688954","https://openalex.org/I4403386768","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059452067","display_name":"Charles Truong","orcid":"https://orcid.org/0000-0002-8527-8161"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4403386768","display_name":"Centre Borelli","ror":"https://ror.org/02hcn4061","country_code":"FR","type":"facility","lineage":["https://openalex.org/I11559806","https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I277688954","https://openalex.org/I4210129973","https://openalex.org/I4210136310","https://openalex.org/I4403386768"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Charles Truong","raw_affiliation_strings":["Universit&#x00E9; Paris Cit&#x00E9;, ENS Paris Saclay, CNRS, SSA, INSERM, Centre Borelli, Universit&#x00E9; Paris Saclay, Gif-sur-Yvette, France"],"raw_orcid":"https://orcid.org/0000-0002-8527-8161","affiliations":[{"raw_affiliation_string":"Universit&#x00E9; Paris Cit&#x00E9;, ENS Paris Saclay, CNRS, SSA, INSERM, Centre Borelli, Universit&#x00E9; Paris Saclay, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I277688954","https://openalex.org/I4403386768","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090929380","display_name":"Laurent Oudre","orcid":"https://orcid.org/0000-0002-4750-2265"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4403386768","display_name":"Centre Borelli","ror":"https://ror.org/02hcn4061","country_code":"FR","type":"facility","lineage":["https://openalex.org/I11559806","https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I277688954","https://openalex.org/I4210129973","https://openalex.org/I4210136310","https://openalex.org/I4403386768"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Laurent Oudre","raw_affiliation_strings":["Universit&#x00E9; Paris Cit&#x00E9;, ENS Paris Saclay, CNRS, SSA, INSERM, Centre Borelli, Universit&#x00E9; Paris Saclay, Gif-sur-Yvette, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; Paris Cit&#x00E9;, ENS Paris Saclay, CNRS, SSA, INSERM, Centre Borelli, Universit&#x00E9; Paris Saclay, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I277688954","https://openalex.org/I4403386768","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005300464"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I277688954","https://openalex.org/I4403386768"],"apc_list":null,"apc_paid":null,"fwci":1.6115,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83409429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"36","issue":"11","first_page":"6814","last_page":"6827"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9994999766349792,"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":0.9994999766349792,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9703999757766724,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9574999809265137,"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/motif","display_name":"Motif (music)","score":0.7401567697525024},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6815078258514404},{"id":"https://openalex.org/keywords/persistence","display_name":"Persistence (discontinuity)","score":0.47242653369903564},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4549711048603058},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16458749771118164},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07708331942558289}],"concepts":[{"id":"https://openalex.org/C32276052","wikidata":"https://www.wikidata.org/wiki/Q908349","display_name":"Motif (music)","level":2,"score":0.7401567697525024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6815078258514404},{"id":"https://openalex.org/C2781009140","wikidata":"https://www.wikidata.org/wiki/Q7170389","display_name":"Persistence (discontinuity)","level":2,"score":0.47242653369903564},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4549711048603058},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16458749771118164},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07708331942558289},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2024.3417303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3417303","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"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 Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-04733563v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04733563","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering, 2024, 36 (11), pp.6814-6827. &#x27E8;10.1109/TKDE.2024.3417303&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W98105570","https://openalex.org/W187473460","https://openalex.org/W1513731586","https://openalex.org/W1915489093","https://openalex.org/W1976345147","https://openalex.org/W2029767187","https://openalex.org/W2061674567","https://openalex.org/W2081028405","https://openalex.org/W2085039702","https://openalex.org/W2095409369","https://openalex.org/W2105686649","https://openalex.org/W2106595237","https://openalex.org/W2133059825","https://openalex.org/W2140849876","https://openalex.org/W2153639522","https://openalex.org/W2162800060","https://openalex.org/W2164274563","https://openalex.org/W2222512263","https://openalex.org/W2496293167","https://openalex.org/W2559280146","https://openalex.org/W2583336059","https://openalex.org/W2584499795","https://openalex.org/W2586871115","https://openalex.org/W2785441506","https://openalex.org/W2793186062","https://openalex.org/W2798290452","https://openalex.org/W2802712044","https://openalex.org/W2905282894","https://openalex.org/W2935859023","https://openalex.org/W2985788863","https://openalex.org/W2997546679","https://openalex.org/W3001763755","https://openalex.org/W3023709221","https://openalex.org/W3131491382","https://openalex.org/W3174700686","https://openalex.org/W4211264793","https://openalex.org/W4212811301","https://openalex.org/W4226042841","https://openalex.org/W4233690291","https://openalex.org/W4321448314","https://openalex.org/W4390967788","https://openalex.org/W4393944724","https://openalex.org/W4399728770","https://openalex.org/W6603987618","https://openalex.org/W6754359508","https://openalex.org/W6922314647"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3170299350","https://openalex.org/W2368410102","https://openalex.org/W2605676258","https://openalex.org/W2368037387","https://openalex.org/W190186656","https://openalex.org/W2902352756","https://openalex.org/W2377079823"],"abstract_inverted_index":{"Motif":[0],"Discovery":[1],"consists":[2],"of":[3,33,39,74,127,134,145],"finding":[4],"repeated":[5],"patterns":[6],"and":[7,42,56,82,113,138],"locating":[8],"their":[9,19],"occurrences":[10],"in":[11,54],"a":[12,43,60,68,78,85,94,98,106],"time":[13,95],"series":[14,96],"without":[15,83],"prior":[16],"knowledge":[17],"about":[18],"shape":[20],"or":[21],"location.":[22],"Most":[23],"state-of-the-art":[24,168],"algorithms":[25],"rely":[26],"on":[27,153],"three":[28],"core":[29],"parameters:":[30],"the":[31,37,40,91,115,120,128,132,143,148],"number":[32,133,144],"motifs":[34,73,118,135,146],"to":[35,136],"discover,":[36],"length":[38,76,81],"motifs,":[41],"similarity":[44,86],"threshold":[45],"between":[46],"motif":[47,80],"occurrences.":[48],"Setting":[49],"these":[50],"parameters":[51],"is":[52],"difficult":[53],"practice":[55],"often":[57],"results":[58],"from":[59,108,119,147],"trial-and-error":[61],"strategy.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66],"propose":[67,124],"new":[69],"algorithm":[70,92,164],"that":[71,141,162],"discovers":[72],"variable":[75],"given":[77],"single":[79],"requiring":[84,131],"threshold.":[87],"At":[88],"its":[89],"core,":[90],"maps":[93],"onto":[97],"graph,":[99],"summarizes":[100],"it":[101],"with":[102],"persistent":[103],"homology":[104],"-":[105,112],"tool":[107],"topological":[109],"data":[110],"analysis":[111],"identifies":[114],"most":[116],"relevant":[117],"graph":[121,149],"summary.":[122,150],"We":[123],"two":[125],"versions":[126,165],"algorithm,":[129],"one":[130],"discover":[137],"another,":[139],"adaptive,":[140],"infers":[142],"Empirical":[151],"evaluation":[152],"9":[154],"labeled":[155],"datasets,":[156,160],"including":[157],"6":[158],"real-world":[159],"shows":[161],"both":[163],"significantly":[166],"outperform":[167],"algorithms.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
