{"id":"https://openalex.org/W2061674567","doi":"https://doi.org/10.1109/tii.2015.2411226","title":"Efficient Motif Discovery for Large-Scale Time Series in Healthcare","display_name":"Efficient Motif Discovery for Large-Scale Time Series in Healthcare","publication_year":2015,"publication_date":"2015-03-09","ids":{"openalex":"https://openalex.org/W2061674567","doi":"https://doi.org/10.1109/tii.2015.2411226","mag":"2061674567"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2015.2411226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2015.2411226","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Transactions on Industrial Informatics","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/A5100461675","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0002-6615-6601"},"institutions":[{"id":"https://openalex.org/I4210149379","display_name":"NEC (China)","ror":"https://ror.org/04xrcx824","country_code":"CN","type":"company","lineage":["https://openalex.org/I118347220","https://openalex.org/I4210149379"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Liu","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","NEC Laboratories China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"NEC Laboratories China, Beijing, China","institution_ids":["https://openalex.org/I4210149379"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393880","display_name":"Jianqiang Li","orcid":"https://orcid.org/0000-0003-1995-9249"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Li","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101559654","display_name":"Cheng Chen","orcid":"https://orcid.org/0000-0001-9017-9195"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Chen","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079169201","display_name":"Wei Tan","orcid":"https://orcid.org/0000-0002-2617-7598"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Tan","raw_affiliation_strings":["IBM T. J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435709","display_name":"Qiang Chen","orcid":"https://orcid.org/0000-0003-4373-2589"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Chen","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081318069","display_name":"MengChu Zhou","orcid":"https://orcid.org/0000-0002-5408-8752"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"MengChu Zhou","raw_affiliation_strings":["New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100461675"],"corresponding_institution_ids":["https://openalex.org/I4210149379","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":8.9766,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.98357727,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"11","issue":"3","first_page":"583","last_page":"590"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9937000274658203,"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/T11309","display_name":"Music and Audio Processing","score":0.9810000061988831,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6129702925682068},{"id":"https://openalex.org/keywords/motif","display_name":"Motif (music)","score":0.48407331109046936},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.44217586517333984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4274280071258545},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07250708341598511}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6129702925682068},{"id":"https://openalex.org/C32276052","wikidata":"https://www.wikidata.org/wiki/Q908349","display_name":"Motif (music)","level":2,"score":0.48407331109046936},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.44217586517333984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4274280071258545},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07250708341598511},{"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},{"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/tii.2015.2411226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2015.2411226","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Transactions on Industrial Informatics","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":19,"referenced_works":["https://openalex.org/W1494822994","https://openalex.org/W1513731586","https://openalex.org/W1595324333","https://openalex.org/W1935979693","https://openalex.org/W1966406756","https://openalex.org/W2006761268","https://openalex.org/W2006844281","https://openalex.org/W2028904582","https://openalex.org/W2047352628","https://openalex.org/W2049704739","https://openalex.org/W2066796814","https://openalex.org/W2109722477","https://openalex.org/W2113236773","https://openalex.org/W2119523409","https://openalex.org/W2173213060","https://openalex.org/W2402972623","https://openalex.org/W4242702158","https://openalex.org/W6640635667","https://openalex.org/W6676367512"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3170299350","https://openalex.org/W2368410102","https://openalex.org/W2368037387","https://openalex.org/W190186656","https://openalex.org/W2902352756","https://openalex.org/W2377079823","https://openalex.org/W2605676258","https://openalex.org/W2599962286","https://openalex.org/W2319582300"],"abstract_inverted_index":{"Analyzing":[0],"time":[1,41,153],"series":[2,17,42],"data":[3,142],"can":[4],"reveal":[5],"the":[6,10,14,37,97,105,108,147],"temporal":[7],"behavior":[8],"of":[9,40,93],"underlying":[11],"mechanism":[12],"producing":[13],"data.":[15,56],"Time":[16],"motifs,":[18,88],"which":[19],"are":[20,49,113],"similar":[21],"subsequences":[22,112],"or":[23],"frequently":[24],"occurring":[25],"patterns,":[26],"have":[27],"significant":[28],"meanings":[29],"for":[30,46,71,115,133],"researchers":[31],"especially":[32],"in":[33,96,130,151],"medical":[34],"domain.":[35],"With":[36],"fast":[38],"growth":[39],"data,":[43],"traditional":[44],"methods":[45,149],"motif":[47,109],"discovery":[48],"inefficient":[50],"and":[51,100,111,118,128],"not":[52],"applicable":[53],"to":[54,104],"large-scale":[55],"This":[57],"work":[58],"proposes":[59],"an":[60],"efficient":[61],"<italic":[62,66,72,76,80],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[63,67,73,77,81],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">M</i>":[64],"otif":[65],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">D</i>":[68],"iscovery":[69],"method":[70],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">La</i>":[74],"rge-scale":[75],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">t</i>":[78],"ime":[79],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">s</i>":[82],"eries":[83],"(MDLats).":[84],"By":[85],"computing":[86],"standard":[87],"MDLats":[89,145],"eliminates":[90],"a":[91,125,131],"majority":[92],"redundant":[94],"computation":[95],"related":[98],"arts":[99],"reuses":[101],"existing":[102],"information":[103],"maximum.":[106],"All":[107],"types":[110],"generated":[114],"subsequent":[116],"analysis":[117],"classification.":[119,136],"Our":[120],"system":[121],"is":[122],"implemented":[123],"on":[124,139],"Hadoop":[126],"platform":[127],"deployed":[129],"hospital":[132],"clinical":[134],"electrocardiography":[135],"The":[137],"experiments":[138],"real-world":[140],"healthcare":[141],"show":[143],"that":[144],"outperform":[146],"state-of-the-art":[148],"even":[150],"large":[152],"series.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":9}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
