{"id":"https://openalex.org/W4384518858","doi":"https://doi.org/10.1109/access.2023.3295995","title":"Variable Length Motif Discovery in Time Series Data","display_name":"Variable Length Motif Discovery in Time Series Data","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4384518858","doi":"https://doi.org/10.1109/access.2023.3295995"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3295995","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3295995","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10184428.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10184428.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080744514","display_name":"M. Van Onsem","orcid":"https://orcid.org/0000-0002-3899-064X"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I94603935","display_name":"Skyline College","ror":"https://ror.org/03r2s9s41","country_code":"US","type":"education","lineage":["https://openalex.org/I3005474124","https://openalex.org/I94603935"]}],"countries":["BE","US"],"is_corresponding":true,"raw_author_name":"M. Van Onsem","raw_affiliation_strings":["IDLab, Ghent University–imec, Ghent, Belgium","IDLab, Ghent university-imec, Technologiepark-Zwijnaarde 126, Gent, Belgium","Skyline Communications, Ambachtenstraat 33, Izegem, Belgium"],"affiliations":[{"raw_affiliation_string":"IDLab, Ghent University–imec, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"IDLab, Ghent university-imec, Technologiepark-Zwijnaarde 126, Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"Skyline Communications, Ambachtenstraat 33, Izegem, Belgium","institution_ids":["https://openalex.org/I94603935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037536722","display_name":"V. Ledoux","orcid":null},"institutions":[{"id":"https://openalex.org/I94603935","display_name":"Skyline College","ror":"https://ror.org/03r2s9s41","country_code":"US","type":"education","lineage":["https://openalex.org/I3005474124","https://openalex.org/I94603935"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"V. Ledoux","raw_affiliation_strings":["Skyline Communications, Izegem, Belgium","Skyline Communications, Ambachtenstraat 33, Izegem, Belgium"],"affiliations":[{"raw_affiliation_string":"Skyline Communications, Izegem, Belgium","institution_ids":["https://openalex.org/I94603935"]},{"raw_affiliation_string":"Skyline Communications, Ambachtenstraat 33, Izegem, Belgium","institution_ids":["https://openalex.org/I94603935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068691864","display_name":"Willem M\u00e9lange","orcid":null},"institutions":[{"id":"https://openalex.org/I94603935","display_name":"Skyline College","ror":"https://ror.org/03r2s9s41","country_code":"US","type":"education","lineage":["https://openalex.org/I3005474124","https://openalex.org/I94603935"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. M\u00e9lange","raw_affiliation_strings":["Skyline Communications, Izegem, Belgium","Skyline Communications, Ambachtenstraat 33, Izegem, Belgium"],"affiliations":[{"raw_affiliation_string":"Skyline Communications, Izegem, Belgium","institution_ids":["https://openalex.org/I94603935"]},{"raw_affiliation_string":"Skyline Communications, Ambachtenstraat 33, Izegem, Belgium","institution_ids":["https://openalex.org/I94603935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029198642","display_name":"D. Dreesen","orcid":null},"institutions":[{"id":"https://openalex.org/I94603935","display_name":"Skyline College","ror":"https://ror.org/03r2s9s41","country_code":"US","type":"education","lineage":["https://openalex.org/I3005474124","https://openalex.org/I94603935"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Dreesen","raw_affiliation_strings":["Skyline Communications, Izegem, Belgium","Skyline Communications, Ambachtenstraat 33, Izegem, Belgium"],"affiliations":[{"raw_affiliation_string":"Skyline Communications, Izegem, Belgium","institution_ids":["https://openalex.org/I94603935"]},{"raw_affiliation_string":"Skyline Communications, Ambachtenstraat 33, Izegem, Belgium","institution_ids":["https://openalex.org/I94603935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025315149","display_name":"Sofie Van Hoecke","orcid":"https://orcid.org/0000-0002-7865-6793"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"S. Van Hoecke","raw_affiliation_strings":["IDLab, Ghent University–imec, Ghent, Belgium","IDLab, Ghent university-imec, Technologiepark-Zwijnaarde 126, Gent, Belgium"],"affiliations":[{"raw_affiliation_string":"IDLab, Ghent University–imec, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"IDLab, Ghent university-imec, Technologiepark-Zwijnaarde 126, Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080744514"],"corresponding_institution_ids":["https://openalex.org/I32597200","https://openalex.org/I94603935"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9905,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75306882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"73754","last_page":"73766"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9696999788284302,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9470000267028809,"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":0.8541044592857361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6991426944732666},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5332465171813965},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5125393867492676},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.4267585277557373},{"id":"https://openalex.org/keywords/structural-motif","display_name":"Structural motif","score":0.4234696626663208},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37818747758865356},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1848587691783905}],"concepts":[{"id":"https://openalex.org/C32276052","wikidata":"https://www.wikidata.org/wiki/Q908349","display_name":"Motif (music)","level":2,"score":0.8541044592857361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6991426944732666},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5332465171813965},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5125393867492676},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.4267585277557373},{"id":"https://openalex.org/C132677234","wikidata":"https://www.wikidata.org/wiki/Q3273544","display_name":"Structural motif","level":2,"score":0.4234696626663208},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37818747758865356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1848587691783905},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3295995","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3295995","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10184428.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3a5e8db6219d480f8e6c73e3b1172aa5","is_oa":true,"landing_page_url":"https://doaj.org/article/3a5e8db6219d480f8e6c73e3b1172aa5","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 73754-73766 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3295995","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3295995","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10184428.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.550000011920929,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G6126669395","display_name":null,"funder_award_id":"HBC.2019.2588","funder_id":"https://openalex.org/F4320313460","funder_display_name":"Agentschap Innoveren en Ondernemen"}],"funders":[{"id":"https://openalex.org/F4320313460","display_name":"Agentschap Innoveren en Ondernemen","ror":"https://ror.org/032xdry56"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4384518858.pdf","grobid_xml":"https://content.openalex.org/works/W4384518858.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W172466510","https://openalex.org/W2105510466","https://openalex.org/W2164274563","https://openalex.org/W2528750449","https://openalex.org/W2583336059","https://openalex.org/W2584499795","https://openalex.org/W2586871115","https://openalex.org/W2766488777","https://openalex.org/W2787542756","https://openalex.org/W2798290452","https://openalex.org/W2963606058","https://openalex.org/W2997424509","https://openalex.org/W3000919776","https://openalex.org/W3127189636","https://openalex.org/W3128713513","https://openalex.org/W3200258828","https://openalex.org/W4252586678","https://openalex.org/W6747917077","https://openalex.org/W6801240865"],"related_works":["https://openalex.org/W3170299350","https://openalex.org/W2605676258","https://openalex.org/W2368037387","https://openalex.org/W2368410102","https://openalex.org/W4400799920","https://openalex.org/W3021477453","https://openalex.org/W2364249514","https://openalex.org/W2610941444","https://openalex.org/W2132757463","https://openalex.org/W4288366168"],"abstract_inverted_index":{"The":[0,113],"detection":[1],"of":[2,54],"recurring":[3],"behavioral":[4],"patterns":[5],"in":[6,21,27,42,45,88,139,146],"time":[7,23,149],"series":[8,24],"data,":[9,25],"also":[10],"called":[11],"motif":[12,51,62,71],"discovery,":[13],"is":[14,33,74],"a":[15,68],"crucial":[16],"step":[17],"for":[18],"mining":[19],"insights":[20],"complex":[22,28],"especially":[26],"environments":[29,47],"where":[30],"manual":[31],"monitoring":[32],"not":[34],"feasible.":[35],"However,":[36],"current":[37],"state-of-the-art":[38],"algorithms":[39],"fall":[40],"short":[41,142],"their":[43],"applicability":[44],"production":[46],"(due":[48],"to":[49],"static":[50],"length,":[52],"lots":[53],"user":[55],"defined":[56],"parameters,":[57],"only":[58,94,107],"providing":[59],"the":[60,78,147],"best":[61],"pair,":[63],"etc.).":[64],"In":[65],"this":[66],"paper,":[67],"variable":[69],"length":[70],"discovery":[72],"method":[73,114],"proposed":[75],"based":[76],"on":[77,83,117],"Matrix":[79],"Profile":[80],"which":[81],"focuses":[82],"industrial":[84],"applicability.":[85],"It":[86],"works":[87],"noisy":[89],"and":[90,106,135,143],"periodic":[91],"environments,":[92],"returns":[93],"unique":[95],"motifs":[96,100,145],"(meaning":[97],"same":[98,148],"shape":[99],"are":[101],"grouped":[102],"together":[103],"as":[104,120,122],"one)":[105],"requires":[108],"one":[109],"distance":[110],"matrix":[111],"calculation.":[112],"was":[115],"benchmarked":[116],"synthetic":[118],"data":[119,131],"well":[121],"publicly":[123],"available":[124],"real":[125],"world":[126],"key":[127],"performance":[128],"indicator":[129],"(KPI)":[130],"from":[132],"telecom":[133],"providers":[134],"shows":[136],"adequate":[137],"accuracy":[138],"finding":[140],"both":[141],"long":[144],"series.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}