{"id":"https://openalex.org/W2972314237","doi":"https://doi.org/10.1142/s021800142050010x","title":"Feature-Based Online Representation Algorithm for Streaming Time Series Similarity Search","display_name":"Feature-Based Online Representation Algorithm for Streaming Time Series Similarity Search","publication_year":2019,"publication_date":"2019-06-20","ids":{"openalex":"https://openalex.org/W2972314237","doi":"https://doi.org/10.1142/s021800142050010x","mag":"2972314237"},"language":"en","primary_location":{"id":"doi:10.1142/s021800142050010x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021800142050010x","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"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 Pattern Recognition and Artificial Intelligence","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/A5101808438","display_name":"Peng Zhan","orcid":"https://orcid.org/0000-0003-3157-0404"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhan","raw_affiliation_strings":["School of Software, Shandong University, Jinan, Shandong, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, Shandong, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081724365","display_name":"Changchang Sun","orcid":"https://orcid.org/0000-0003-3685-1205"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changchang Sun","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Qingdao, Shandong, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Qingdao, Shandong, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101875643","display_name":"Yupeng Hu","orcid":"https://orcid.org/0000-0002-5653-8286"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yupeng Hu","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Qingdao, Shandong, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Qingdao, Shandong, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101879161","display_name":"Wei Luo","orcid":"https://orcid.org/0000-0001-9978-2783"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Luo","raw_affiliation_strings":["School of Software, Shandong University, Jinan, Shandong, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, Shandong, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056567500","display_name":"Jiecai Zheng","orcid":"https://orcid.org/0000-0003-0225-5237"},"institutions":[{"id":"https://openalex.org/I4210116868","display_name":"Shandong Sport University","ror":"https://ror.org/026b4k258","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210116868"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiecai Zheng","raw_affiliation_strings":["School of Sport Communication and Information Technology, Shandong Sport University, Jinan, Shandong, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Sport Communication and Information Technology, Shandong Sport University, Jinan, Shandong, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210116868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100764676","display_name":"Xueqing Li","orcid":"https://orcid.org/0000-0002-9675-8611"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqing Li","raw_affiliation_strings":["School of Software, Shandong University, Jinan, Shandong, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, Shandong, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1452,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78901789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"34","issue":"05","first_page":"2050010","last_page":"2050010"},"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":0.9785000085830688,"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/T11106","display_name":"Data Management and Algorithms","score":0.9620000123977661,"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/timestamp","display_name":"Timestamp","score":0.7743258476257324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7224809527397156},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.7138209939002991},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6410236954689026},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5979171991348267},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5841550827026367},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.5078757405281067},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5030171275138855},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4827350974082947},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4674331545829773},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45647555589675903},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4372606873512268},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38923633098602295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38495391607284546},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.240768164396286},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16240349411964417}],"concepts":[{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.7743258476257324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7224809527397156},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7138209939002991},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6410236954689026},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5979171991348267},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5841550827026367},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5078757405281067},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5030171275138855},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4827350974082947},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4674331545829773},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45647555589675903},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4372606873512268},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38923633098602295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38495391607284546},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.240768164396286},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16240349411964417},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s021800142050010x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021800142050010x","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"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 Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G4859657381","display_name":null,"funder_award_id":"2015GGX101009","funder_id":"https://openalex.org/F4320333596","funder_display_name":"Key Technology Research and Development Program of Shandong"},{"id":"https://openalex.org/G711325706","display_name":null,"funder_award_id":"61402263","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8111144841","display_name":"\u57fa\u4e8e\u5927\u6570\u636e\u7684MSM\u827e\u6ecb\u75c5\u7ba1\u7406\u548c\u51b3\u7b56\u8303\u5f0f\u7814\u7a76","funder_award_id":"91546203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320333596","display_name":"Key Technology Research and Development Program of Shandong","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1556231195","https://openalex.org/W1819459203","https://openalex.org/W1853995153","https://openalex.org/W1969602371","https://openalex.org/W1974283736","https://openalex.org/W1989037929","https://openalex.org/W2006761268","https://openalex.org/W2008701321","https://openalex.org/W2014122208","https://openalex.org/W2066796814","https://openalex.org/W2107633943","https://openalex.org/W2110704543","https://openalex.org/W2133573607","https://openalex.org/W2142285455","https://openalex.org/W2185033542","https://openalex.org/W2286761208","https://openalex.org/W2331094503","https://openalex.org/W2395482586","https://openalex.org/W2470709840","https://openalex.org/W2483430316","https://openalex.org/W2519879736","https://openalex.org/W2532798634","https://openalex.org/W2583336059","https://openalex.org/W2605506660","https://openalex.org/W2605873782","https://openalex.org/W2619977335","https://openalex.org/W2700341059","https://openalex.org/W2702877955","https://openalex.org/W2730891908","https://openalex.org/W2747875299","https://openalex.org/W2752853104","https://openalex.org/W2755570041","https://openalex.org/W2772177579","https://openalex.org/W2798290452","https://openalex.org/W2896399498","https://openalex.org/W2913904164","https://openalex.org/W4239867545"],"related_works":["https://openalex.org/W2965318499","https://openalex.org/W2546942002","https://openalex.org/W2970216048","https://openalex.org/W2382607599","https://openalex.org/W2015538044","https://openalex.org/W1998732556","https://openalex.org/W2374959876","https://openalex.org/W2361497885","https://openalex.org/W2521850565","https://openalex.org/W1520658740"],"abstract_inverted_index":{"With":[0],"the":[1,12,37,62,70,112],"rapid":[2],"development":[3],"of":[4,14,22,114],"information":[5],"technology,":[6],"we":[7,78],"have":[8,110],"already":[9],"access":[10],"to":[11,59],"era":[13],"big":[15,39],"data.":[16,74],"Time":[17,32],"series":[18,33,65,73,108],"is":[19,54],"a":[20,49,80,91],"sequence":[21],"data":[23,40],"points":[24],"associated":[25],"with":[26],"numerical":[27],"values":[28],"and":[29,57,98],"successive":[30],"timestamps.":[31],"not":[34],"only":[35],"has":[36,90],"traditional":[38,63],"features,":[41],"but":[42],"also":[43],"can":[44],"be":[45],"continuously":[46],"generated":[47],"in":[48],"high":[50,93],"speed.":[51],"Therefore,":[52],"it":[53],"very":[55],"time-":[56],"resource-consuming":[58],"directly":[60],"apply":[61],"time":[64,72,87,107],"similarity":[66,99],"search":[67],"methods":[68],"on":[69,95,104],"raw":[71],"In":[75],"this":[76],"paper,":[77],"propose":[79],"novel":[81],"online":[82],"segmenting":[83],"algorithm":[84],"for":[85],"streaming":[86],"series,":[88],"which":[89],"relatively":[92],"performance":[94],"feature":[96],"representation":[97],"search.":[100],"Extensive":[101],"experimental":[102],"results":[103],"different":[105],"typical":[106],"datasets":[109],"demonstrated":[111],"superiority":[113],"our":[115],"method.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
