{"id":"https://openalex.org/W2295669984","doi":"https://doi.org/10.1007/s40595-016-0062-4","title":"Similarity search for numerous patterns over multiple time series streams under dynamic time warping which supports data normalization","display_name":"Similarity search for numerous patterns over multiple time series streams under dynamic time warping which supports data normalization","publication_year":2016,"publication_date":"2016-03-11","ids":{"openalex":"https://openalex.org/W2295669984","doi":"https://doi.org/10.1007/s40595-016-0062-4","mag":"2295669984"},"language":"en","primary_location":{"id":"doi:10.1007/s40595-016-0062-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40595-016-0062-4","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs40595-016-0062-4.pdf","source":{"id":"https://openalex.org/S2486636169","display_name":"Vietnam Journal of Computer Science","issn_l":"2196-8888","issn":["2196-8888","2196-8896"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Vietnam Journal of Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs40595-016-0062-4.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048275022","display_name":"Bui Cong Giao","orcid":"https://orcid.org/0000-0003-1241-0341"},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Bui Cong Giao","raw_affiliation_strings":["Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059729965","display_name":"Duong Tuan Anh","orcid":"https://orcid.org/0000-0003-3340-7117"},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Duong Tuan Anh","raw_affiliation_strings":["Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048275022"],"corresponding_institution_ids":["https://openalex.org/I47265099"],"apc_list":null,"apc_paid":null,"fwci":1.5131,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.82725974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"3","issue":"3","first_page":"181","last_page":"196"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9786999821662903,"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/T11309","display_name":"Music and Audio Processing","score":0.9763000011444092,"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/dynamic-time-warping","display_name":"Dynamic time warping","score":0.8132655024528503},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7539671063423157},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7420222759246826},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6301645040512085},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.561582088470459},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.4751943349838257},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.47512251138687134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45372486114501953},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4312328100204468},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.42927587032318115},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.42385366559028625},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28852134943008423}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.8132655024528503},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7539671063423157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7420222759246826},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6301645040512085},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.561582088470459},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.4751943349838257},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.47512251138687134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45372486114501953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4312328100204468},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.42927587032318115},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.42385366559028625},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28852134943008423},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s40595-016-0062-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40595-016-0062-4","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs40595-016-0062-4.pdf","source":{"id":"https://openalex.org/S2486636169","display_name":"Vietnam Journal of Computer Science","issn_l":"2196-8888","issn":["2196-8888","2196-8896"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Vietnam Journal of Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s40595-016-0062-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40595-016-0062-4","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs40595-016-0062-4.pdf","source":{"id":"https://openalex.org/S2486636169","display_name":"Vietnam Journal of Computer Science","issn_l":"2196-8888","issn":["2196-8888","2196-8896"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Vietnam Journal of Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2295669984.pdf","grobid_xml":"https://content.openalex.org/works/W2295669984.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W39942585","https://openalex.org/W71572444","https://openalex.org/W116902681","https://openalex.org/W1920911812","https://openalex.org/W1972833205","https://openalex.org/W1974339580","https://openalex.org/W1989417520","https://openalex.org/W2060192486","https://openalex.org/W2066834853","https://openalex.org/W2070762331","https://openalex.org/W2070808135","https://openalex.org/W2078559879","https://openalex.org/W2091921805","https://openalex.org/W2099302229","https://openalex.org/W2106595237","https://openalex.org/W2110790338","https://openalex.org/W2128160875","https://openalex.org/W2148034761","https://openalex.org/W2155919101","https://openalex.org/W2162193833","https://openalex.org/W2185751789","https://openalex.org/W2249231905","https://openalex.org/W2401495168"],"related_works":["https://openalex.org/W2016839265","https://openalex.org/W2313030483","https://openalex.org/W1995239016","https://openalex.org/W96694040","https://openalex.org/W2268908812","https://openalex.org/W2990802509","https://openalex.org/W2079629052","https://openalex.org/W1920911812","https://openalex.org/W2295669984","https://openalex.org/W2099302229"],"abstract_inverted_index":{"A":[0],"huge":[1],"challenge":[2],"in":[3,10,101,109,123,228],"nowadays\u2019":[4],"data":[5,23,33,77,140],"mining":[6],"is":[7,25],"similarity":[8,21,64,107],"search":[9,65,108],"streaming":[11,125],"time":[12,48,112],"series":[13],"under":[14,74],"Dynamic":[15],"Time":[16],"Warping":[17],"(DTW).":[18],"In":[19,52],"the":[20,36,39,53,89,96,110,124,132,155,159,177,201,213,222,236,239,250],"search,":[22],"normalization":[24,34,141,244,248],"a":[26,43,83,103,187],"must":[27],"to":[28,87,114,185,190],"obtain":[29],"accurate":[30],"results.":[31,252],"However,":[32,145],"on":[35,131,142,249],"fly":[37],"and":[38,49,60,138,206,218,245],"DTW":[40,75],"calculation":[41],"cost":[42],"great":[44],"deal":[45],"of":[46,85,106,134,164,176,216,230,241],"computational":[47],"memory":[50],"space.":[51],"paper,":[54],"we":[55],"present":[56],"two":[57,80],"methods,":[58],"SUCR-DTW":[59,127,148,199,217],"ESUCR-DTW,":[61,161],"which":[62],"conduct":[63],"for":[66],"numerous":[67],"prespecified":[68],"patterns":[69],"over":[70],"multiple":[71],"time-series":[72,136,143,192],"streams":[73],"supporting":[76],"normalization.":[78],"These":[79],"methods":[81,94,182],"utilize":[82],"combination":[84],"techniques":[86],"mitigate":[88],"aforementioned":[90],"costs.":[91],"The":[92,194],"efficient":[93],"inherit":[95],"cascading":[97],"lower":[98,208],"bounds":[99],"introduced":[100],"UCR-DTW,":[102,147],"state-of-the-art":[104],"method":[105,224],"static":[111],"series,":[113],"admissibly":[115],"prune":[116],"off":[117],"unpromising":[118],"subsequences.":[119],"To":[120],"be":[121],"adaptive":[122],"setting,":[126],"performs":[128],"incremental":[129,139,242,246],"updates":[130],"envelopes":[133],"new-coming":[135],"subsequences":[137,152,169],"data.":[144],"like":[146],"retrieves":[149],"only":[150],"similar":[151,168],"that":[153,198,221],"have":[154,186],"same":[156,202],"length":[157],"as":[158,204],"patterns.":[160,178],"an":[162],"extension":[163],"SUCR-DTW,":[165],"can":[166],"find":[167],"whose":[170],"lengths":[171],"are":[172],"different":[173],"from":[174],"those":[175],"Furthermore,":[179],"our":[180],"proposed":[181],"exploit":[183],"multi-threading":[184],"fast":[188],"response":[189],"high-speed":[191],"streams.":[193],"experimental":[195,214],"results":[196,215],"show":[197],"obtains":[200],"precision":[203],"UCR-DTW":[205],"has":[207,225],"wall":[209,232],"clock":[210,233],"time.":[211,234],"Besides,":[212],"ESUCR-DTW":[219],"reveal":[220],"extended":[223],"higher":[226],"accuracy":[227],"spite":[229],"longer":[231],"Also,":[235],"paper":[237],"evaluates":[238],"influence":[240],"z-score":[243],"min\u2013max":[247],"obtained":[251]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}