{"id":"https://openalex.org/W3033235189","doi":"https://doi.org/10.1142/s0219622020500133","title":"Multi-Scale Shapelets Discovery for Time-Series Classification","display_name":"Multi-Scale Shapelets Discovery for Time-Series Classification","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3033235189","doi":"https://doi.org/10.1142/s0219622020500133","mag":"3033235189"},"language":"en","primary_location":{"id":"doi:10.1142/s0219622020500133","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219622020500133","pdf_url":null,"source":{"id":"https://openalex.org/S207089700","display_name":"International Journal of Information Technology & Decision Making","issn_l":"0219-6220","issn":["0219-6220","1793-6845"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Technology &amp; Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Multi-Scale_Shapelets_Discovery_for_Time-Series_Classification/20701993","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054720605","display_name":"Borui Cai","orcid":"https://orcid.org/0000-0002-1216-5166"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Borui Cai","raw_affiliation_strings":["School of Information Technology, Deakin University Victoria, 3125, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University Victoria, 3125, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066831688","display_name":"Guangyan Huang","orcid":"https://orcid.org/0000-0002-1821-8644"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guangyan Huang","raw_affiliation_strings":["School of Information Technology, Deakin University Victoria, 3125, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University Victoria, 3125, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051297830","display_name":"Yong Xiang","orcid":"https://orcid.org/0000-0003-3545-7863"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yong Xiang","raw_affiliation_strings":["School of Information Technology, Deakin University Victoria, 3125, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University Victoria, 3125, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014624042","display_name":"Maia Angelova","orcid":"https://orcid.org/0000-0002-0931-0916"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Maia Angelova","raw_affiliation_strings":["School of Information Technology, Deakin University Victoria, 3125, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University Victoria, 3125, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101686449","display_name":"Limin Guo","orcid":"https://orcid.org/0000-0003-4142-8284"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Limin Guo","raw_affiliation_strings":["School of Computer Science, Beijing University of Technology, Beijing, 100022, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing University of Technology, Beijing, 100022, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058644115","display_name":"Chi\u2010Hung Chi","orcid":"https://orcid.org/0000-0001-7271-1926"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chi-Hung Chi","raw_affiliation_strings":["Data61, CSIRO Tasmania, 7004, Australia"],"affiliations":[{"raw_affiliation_string":"Data61, CSIRO Tasmania, 7004, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5054720605"],"corresponding_institution_ids":["https://openalex.org/I149704539"],"apc_list":null,"apc_paid":null,"fwci":0.9125,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73815575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"19","issue":"03","first_page":"721","last_page":"739"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.97079998254776,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9578999876976013,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6475409865379333},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6033663749694824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5681076645851135},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5612671971321106},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.47050780057907104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45946595072746277},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39615076780319214},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.348245233297348},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.04203680157661438}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6475409865379333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6033663749694824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5681076645851135},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5612671971321106},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.47050780057907104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45946595072746277},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39615076780319214},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.348245233297348},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.04203680157661438},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1142/s0219622020500133","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219622020500133","pdf_url":null,"source":{"id":"https://openalex.org/S207089700","display_name":"International Journal of Information Technology & Decision Making","issn_l":"0219-6220","issn":["0219-6220","1793-6845"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Technology &amp; Decision Making","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:ijitdm:v:19:y:2020:i:03:n:s0219622020500133","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S0219622020500133","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30139169","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"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"},{"id":"pmh:oai:figshare.com:article/20701993","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Multi-Scale_Shapelets_Discovery_for_Time-Series_Classification/20701993","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20701993","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Multi-Scale_Shapelets_Discovery_for_Time-Series_Classification/20701993","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4700957545","display_name":null,"funder_award_id":"DP190100587","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G6393501556","display_name":null,"funder_award_id":"DE140100387","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1136523252","https://openalex.org/W1738313275","https://openalex.org/W1789163674","https://openalex.org/W1862622576","https://openalex.org/W1964346230","https://openalex.org/W1970319631","https://openalex.org/W1978371851","https://openalex.org/W1984674851","https://openalex.org/W1993687631","https://openalex.org/W2011208599","https://openalex.org/W2018101308","https://openalex.org/W2024428474","https://openalex.org/W2029438113","https://openalex.org/W2029887827","https://openalex.org/W2037537012","https://openalex.org/W2108196201","https://openalex.org/W2122917000","https://openalex.org/W2123502857","https://openalex.org/W2182868554","https://openalex.org/W2232966085","https://openalex.org/W2295959708","https://openalex.org/W2402972623","https://openalex.org/W2744079410","https://openalex.org/W2763068163","https://openalex.org/W2766544915","https://openalex.org/W2794535195","https://openalex.org/W2801721891","https://openalex.org/W2947412763","https://openalex.org/W2981842822","https://openalex.org/W2998979401"],"related_works":["https://openalex.org/W3190511629","https://openalex.org/W4385767940","https://openalex.org/W4385957992","https://openalex.org/W4229079080","https://openalex.org/W4206534706","https://openalex.org/W4385965371","https://openalex.org/W4386025632","https://openalex.org/W3006943036","https://openalex.org/W4200511449","https://openalex.org/W4299487748"],"abstract_inverted_index":{"Shapelets":[0],"are":[1],"subsequences":[2],"of":[3,17,23,116],"time-series":[4,18,24,124],"that":[5,127],"represent":[6],"local":[7,39],"patterns":[8,40],"and":[9,14,94],"can":[10],"improve":[11,133],"the":[12,15,114],"accuracy":[13,135],"interpretability":[16],"classification.":[19],"The":[20],"major":[21],"task":[22],"classification":[25,134],"using":[26],"shapelets":[27,59,76,81,83,129,144],"is":[28,36,95,109],"to":[29,72,97,112],"discover":[30,73],"high":[31],"quality":[32,107],"shapelets.":[33,117],"However,":[34],"this":[35,51,55],"challenging":[37],"since":[38],"may":[41],"have":[42],"various":[43],"scales/lengths":[44],"rather":[45],"than":[46],"a":[47,65,85,90],"unified":[48,86],"scale.":[49],"In":[50],"paper,":[52],"we":[53],"resolve":[54],"problem":[56],"by":[57,77,101,131,136,146],"discovering":[58],"with":[60,84,142],"multiple":[61],"scales.":[62],"We":[63],"propose":[64],"novel":[66],"Multi-Scale":[67],"Shapelet":[68],"Discovery":[69],"(MSSD)":[70],"algorithm":[71],"expressive":[74],"multi-scale":[75,128],"extending":[78],"initial":[79],"single-scale":[80,143],"(i.e.,":[82],"scale).":[87],"MSSD":[88,132],"adopts":[89],"bi-directional":[91],"extension":[92,115],"process":[93],"robust":[96],"extend":[98],"single-shapelets":[99],"obtained":[100],"different":[102],"methods.":[103,148],"A":[104],"supervised":[105],"shapelet":[106],"measurement":[108],"further":[110],"developed":[111],"qualify":[113],"Comprehensive":[118],"experiments":[119],"conducted":[120],"on":[121],"25":[122],"UCR":[123],"datasets":[125],"show":[126],"discovered":[130,145],"around":[137],"10%":[138],"(in":[139],"average),":[140],"compared":[141],"counterpart":[147]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
