{"id":"https://openalex.org/W3088477608","doi":"https://doi.org/10.1109/access.2020.3025048","title":"A Novel Similarity Measurement and Clustering Framework for Time Series Based on Convolution Neural Networks","display_name":"A Novel Similarity Measurement and Clustering Framework for Time Series Based on Convolution Neural Networks","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3088477608","doi":"https://doi.org/10.1109/access.2020.3025048","mag":"3088477608"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3025048","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3025048","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09205232.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/8948470/09205232.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084601239","display_name":"Xin Ding","orcid":"https://orcid.org/0000-0003-2183-607X"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Ding","raw_affiliation_strings":["Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, College of Information Sciences and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, College of Information Sciences and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001762132","display_name":"Kuangrong Hao","orcid":"https://orcid.org/0000-0001-9672-6161"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuangrong Hao","raw_affiliation_strings":["Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, College of Information Sciences and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, College of Information Sciences and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012426500","display_name":"Xin Cai","orcid":"https://orcid.org/0000-0002-5300-9733"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Cai","raw_affiliation_strings":["Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, College of Information Sciences and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, College of Information Sciences and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048492871","display_name":"Xue\u2010song Tang","orcid":"https://orcid.org/0000-0002-7594-2241"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue-Song Tang","raw_affiliation_strings":["Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, College of Information Sciences and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, College of Information Sciences and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100671215","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0001-9369-9524"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, College of Information Sciences and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, College of Information Sciences and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101758340","display_name":"Haichao Zhang","orcid":"https://orcid.org/0000-0002-4168-3640"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haichao Zhang","raw_affiliation_strings":["Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, College of Information Sciences and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, College of Information Sciences and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5084601239"],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.3504,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.93245189,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"173158","last_page":"173168"},"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9914000034332275,"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/computer-science","display_name":"Computer science","score":0.8089423179626465},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7893128395080566},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.625291109085083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.605890154838562},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5444995760917664},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.5320269465446472},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.5034136176109314},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4937015473842621},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.49153146147727966},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48850977420806885},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.4258183240890503},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41446205973625183},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33876723051071167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8089423179626465},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7893128395080566},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.625291109085083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.605890154838562},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5444995760917664},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.5320269465446472},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.5034136176109314},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4937015473842621},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.49153146147727966},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48850977420806885},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.4258183240890503},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41446205973625183},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33876723051071167}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3025048","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3025048","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09205232.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7913d6d4b0f94a3ab435de9949a9f92b","is_oa":true,"landing_page_url":"https://doaj.org/article/7913d6d4b0f94a3ab435de9949a9f92b","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 173158-173168 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3025048","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3025048","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09205232.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5562433879","display_name":null,"funder_award_id":"20ZR1400400","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G5680471038","display_name":null,"funder_award_id":"19ZR1402300","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G5848258319","display_name":null,"funder_award_id":"0 and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8497279193","display_name":null,"funder_award_id":"61903078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3088477608.pdf","grobid_xml":"https://content.openalex.org/works/W3088477608.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W116902681","https://openalex.org/W1499049447","https://openalex.org/W1522301498","https://openalex.org/W1597504361","https://openalex.org/W1853995153","https://openalex.org/W1861505052","https://openalex.org/W1952331239","https://openalex.org/W2029767187","https://openalex.org/W2033403400","https://openalex.org/W2037537012","https://openalex.org/W2080761477","https://openalex.org/W2091921805","https://openalex.org/W2118371392","https://openalex.org/W2140190241","https://openalex.org/W2144994235","https://openalex.org/W2147846500","https://openalex.org/W2147880780","https://openalex.org/W2158689233","https://openalex.org/W2182647267","https://openalex.org/W2236871065","https://openalex.org/W2284153934","https://openalex.org/W2402972623","https://openalex.org/W2443016948","https://openalex.org/W2504972167","https://openalex.org/W2551393996","https://openalex.org/W2621194513","https://openalex.org/W2622816133","https://openalex.org/W2625540161","https://openalex.org/W2741943936","https://openalex.org/W2754051771","https://openalex.org/W2783323081","https://openalex.org/W2787109437","https://openalex.org/W2795584780","https://openalex.org/W2807737462","https://openalex.org/W2885612650","https://openalex.org/W2889429782","https://openalex.org/W2901265633","https://openalex.org/W2906007967","https://openalex.org/W2918737589","https://openalex.org/W2924331493","https://openalex.org/W2951736998","https://openalex.org/W2964074409","https://openalex.org/W2964121744","https://openalex.org/W2967043547","https://openalex.org/W2969974905","https://openalex.org/W2970771021","https://openalex.org/W2978834409","https://openalex.org/W3085482458","https://openalex.org/W4244030505","https://openalex.org/W6604828220","https://openalex.org/W6631190155","https://openalex.org/W6641027421","https://openalex.org/W6685380521","https://openalex.org/W6757925885","https://openalex.org/W6766628391","https://openalex.org/W6767273713"],"related_works":["https://openalex.org/W2559422900","https://openalex.org/W3144143113","https://openalex.org/W2491448268","https://openalex.org/W2181939267","https://openalex.org/W2892323093","https://openalex.org/W3174322327","https://openalex.org/W2160785859","https://openalex.org/W4306940721","https://openalex.org/W3120229345","https://openalex.org/W2394193399"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"with":[3,188],"the":[4,11,42,93,99,104,108,115,125,147,160,169,175,196,206,209],"development":[5],"of":[6,13,45,95,98,110,135,159,208,213],"machine":[7],"learning,":[8,15],"especially":[9],"after":[10],"rise":[12],"deep":[14,194],"time":[16,46,111,171],"series":[17,172],"clustering":[18,36,126,190],"has":[19,63],"been":[20],"proven":[21],"to":[22,40,73,76,139,154],"effectively":[23],"provide":[24],"useful":[25],"information":[26],"in":[27,66,103,124],"cloud":[28],"computing":[29],"and":[30,62,174,203],"big":[31],"data.":[32],"However,":[33],"many":[34],"modern":[35],"algorithms":[37,191],"are":[38],"difficult":[39],"mine":[41,120],"complex":[43],"features":[44,123],"series,":[47,112],"which":[48],"is":[49,71,88,163],"important":[50],"for":[51,222],"further":[52],"analysis.":[53],"Convolutional":[54],"neural":[55,86,101,117,149],"network":[56,102,118,150],"provides":[57,218],"powerful":[58],"feature":[59],"extraction":[60],"capabilities":[61],"excellent":[64],"performance":[65,182],"classification":[67,143],"tasks,":[68],"but":[69],"it":[70],"hard":[72],"be":[74,152],"applied":[75],"clustering.":[77,156],"Therefore,":[78],"a":[79,132,142],"similarity":[80,109,137],"measurement":[81],"method":[82],"based":[83,145,192],"on":[84,146,168,193],"convolutional":[85,100,116,148],"networks":[87],"proposed.":[89],"This":[90],"algorithm":[91,144,162,198],"converts":[92],"number":[94],"output":[96,200],"changes":[97],"same":[105],"direction":[106],"into":[107],"so":[113],"that":[114,179],"can":[119,151,199],"unlabeled":[121],"data":[122,138],"process.":[127],"Especially":[128],"by":[129,165],"preferentially":[130],"collecting":[131],"small":[133],"amount":[134],"high":[136],"create":[140],"labels,":[141],"used":[153],"assist":[155],"The":[157,211],"effectiveness":[158],"proposed":[161,197],"proved":[164],"extensive":[166],"experiments":[167],"UCR":[170],"datasets,":[173],"experimental":[176],"results":[177],"show":[178],"its":[180],"superior":[181],"than":[183],"other":[184,189],"leading":[185],"methods.":[186],"Compared":[187],"networks,":[195],"intermediate":[201],"variables,":[202],"visually":[204],"explain":[205],"principle":[207],"algorithm.":[210],"application":[212],"financial":[214],"stock":[215],"linkage":[216],"analysis":[217],"an":[219],"auxiliary":[220],"mechanism":[221],"investment":[223],"decision-making.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
