{"id":"https://openalex.org/W3022375718","doi":"https://doi.org/10.1109/tai.2020.3027279","title":"Approaches and Applications of Early Classification of Time Series: A Review","display_name":"Approaches and Applications of Early Classification of Time Series: A Review","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3022375718","doi":"https://doi.org/10.1109/tai.2020.3027279","mag":"3022375718"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2020.3027279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2020.3027279","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2005.02595","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ashish Gupta","orcid":"https://orcid.org/0000-0002-1424-1361"},"institutions":[{"id":"https://openalex.org/I56404289","display_name":"Indian Institute of Technology BHU","ror":"https://ror.org/01kh5gc44","country_code":"IN","type":"education","lineage":["https://openalex.org/I56404289"]},{"id":"https://openalex.org/I91357014","display_name":"Banaras Hindu University","ror":"https://ror.org/04cdn2797","country_code":"IN","type":"education","lineage":["https://openalex.org/I91357014"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ashish Gupta","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, India","institution_ids":["https://openalex.org/I56404289","https://openalex.org/I91357014"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hari Prabhat Gupta","orcid":"https://orcid.org/0000-0003-3207-1340"},"institutions":[{"id":"https://openalex.org/I56404289","display_name":"Indian Institute of Technology BHU","ror":"https://ror.org/01kh5gc44","country_code":"IN","type":"education","lineage":["https://openalex.org/I56404289"]},{"id":"https://openalex.org/I91357014","display_name":"Banaras Hindu University","ror":"https://ror.org/04cdn2797","country_code":"IN","type":"education","lineage":["https://openalex.org/I91357014"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hari Prabhat Gupta","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, India","institution_ids":["https://openalex.org/I56404289","https://openalex.org/I91357014"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bhaskar Biswas","orcid":"https://orcid.org/0000-0001-9762-3834"},"institutions":[{"id":"https://openalex.org/I91357014","display_name":"Banaras Hindu University","ror":"https://ror.org/04cdn2797","country_code":"IN","type":"education","lineage":["https://openalex.org/I91357014"]},{"id":"https://openalex.org/I56404289","display_name":"Indian Institute of Technology BHU","ror":"https://ror.org/01kh5gc44","country_code":"IN","type":"education","lineage":["https://openalex.org/I56404289"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bhaskar Biswas","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, India","institution_ids":["https://openalex.org/I56404289","https://openalex.org/I91357014"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tanima Dutta","orcid":null},"institutions":[{"id":"https://openalex.org/I91357014","display_name":"Banaras Hindu University","ror":"https://ror.org/04cdn2797","country_code":"IN","type":"education","lineage":["https://openalex.org/I91357014"]},{"id":"https://openalex.org/I56404289","display_name":"Indian Institute of Technology BHU","ror":"https://ror.org/01kh5gc44","country_code":"IN","type":"education","lineage":["https://openalex.org/I56404289"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tanima Dutta","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, India","institution_ids":["https://openalex.org/I56404289","https://openalex.org/I91357014"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I56404289","https://openalex.org/I91357014"],"apc_list":null,"apc_paid":null,"fwci":5.9438,"has_fulltext":false,"cited_by_count":97,"citation_normalized_percentile":{"value":0.97167343,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"1","issue":"1","first_page":"47","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9790999889373779,"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":0.9790999889373779,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.006099999882280827,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.0013000000035390258,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/one-class-classification","display_name":"One-class classification","score":0.5044999718666077},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.5033000111579895},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47839999198913574},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4250999987125397},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.41190001368522644},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4032000005245209},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.3824999928474426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6948999762535095},{"id":"https://openalex.org/C34872919","wikidata":"https://www.wikidata.org/wiki/Q7092302","display_name":"One-class classification","level":3,"score":0.5044999718666077},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.5033000111579895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49790000915527344},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49709999561309814},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47839999198913574},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4650000035762787},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4250999987125397},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.41190001368522644},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4032000005245209},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.3824999928474426},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3400000035762787},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C2780724565","wikidata":"https://www.wikidata.org/wiki/Q5227256","display_name":"Data classification","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C141603448","wikidata":"https://www.wikidata.org/wiki/Q134830","display_name":"Prefix","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C13460635","wikidata":"https://www.wikidata.org/wiki/Q85753676","display_name":"Classification scheme","level":2,"score":0.26089999079704285}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tai.2020.3027279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2020.3027279","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2005.02595","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.02595","pdf_url":"https://arxiv.org/pdf/2005.02595","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2005.02595","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.02595","pdf_url":"https://arxiv.org/pdf/2005.02595","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W14817117","https://openalex.org/W249612351","https://openalex.org/W1492469144","https://openalex.org/W1544274373","https://openalex.org/W1894414046","https://openalex.org/W1971742329","https://openalex.org/W1973590682","https://openalex.org/W1978522669","https://openalex.org/W1987971958","https://openalex.org/W2000729072","https://openalex.org/W2002828701","https://openalex.org/W2012609801","https://openalex.org/W2016776918","https://openalex.org/W2020517213","https://openalex.org/W2028326588","https://openalex.org/W2029438113","https://openalex.org/W2030863907","https://openalex.org/W2039459330","https://openalex.org/W2040007196","https://openalex.org/W2041486528","https://openalex.org/W2050493487","https://openalex.org/W2061674567","https://openalex.org/W2066796814","https://openalex.org/W2074848383","https://openalex.org/W2078765398","https://openalex.org/W2081028405","https://openalex.org/W2124519329","https://openalex.org/W2125107632","https://openalex.org/W2139866702","https://openalex.org/W2140091435","https://openalex.org/W2141541629","https://openalex.org/W2145339207","https://openalex.org/W2145546283","https://openalex.org/W2145686583","https://openalex.org/W2147615062","https://openalex.org/W2149497729","https://openalex.org/W2162800060","https://openalex.org/W2163382420","https://openalex.org/W2342546612","https://openalex.org/W2403962807","https://openalex.org/W2541929603","https://openalex.org/W2551393996","https://openalex.org/W2555077524","https://openalex.org/W2581983145","https://openalex.org/W2614378762","https://openalex.org/W2765566334","https://openalex.org/W2783323081","https://openalex.org/W2790684635","https://openalex.org/W2794984788","https://openalex.org/W2811266412","https://openalex.org/W2888477829","https://openalex.org/W2892035503","https://openalex.org/W2902760701","https://openalex.org/W2911439933","https://openalex.org/W2911494597","https://openalex.org/W2913543789","https://openalex.org/W2938764606","https://openalex.org/W2940205355","https://openalex.org/W2943973369","https://openalex.org/W2963629449","https://openalex.org/W2963798004","https://openalex.org/W2964134613","https://openalex.org/W2968419071","https://openalex.org/W2971879731","https://openalex.org/W2990363087","https://openalex.org/W2991075363","https://openalex.org/W3009296583","https://openalex.org/W3017024133","https://openalex.org/W3027643484","https://openalex.org/W3031443331","https://openalex.org/W3033359889","https://openalex.org/W3036081019","https://openalex.org/W3038952558","https://openalex.org/W4249002966","https://openalex.org/W6604828220","https://openalex.org/W6618206526","https://openalex.org/W6637558073","https://openalex.org/W6640381328","https://openalex.org/W6669415734","https://openalex.org/W6676395854","https://openalex.org/W6719409465","https://openalex.org/W6731485784","https://openalex.org/W6732108239","https://openalex.org/W6734887222","https://openalex.org/W6738960736","https://openalex.org/W6745232836","https://openalex.org/W6748936646","https://openalex.org/W6767782324","https://openalex.org/W6772511981","https://openalex.org/W6773805004","https://openalex.org/W6843619087"],"related_works":[],"abstract_inverted_index":{"Early":[0,255,272],"classification":[1,31,58,69,125,168,184,190,256,273,304],"of":[2,28,48,59,75,86,99,119,166,174,189,237,248,257,297],"time":[3,38,60,132,197,307],"series":[4,39,198,308],"has":[5],"been":[6,276],"extensively":[7],"studied":[8],"for":[9,56,127,215,221,306,321],"minimizing":[10],"class":[11],"prediction":[12],"delay":[13],"in":[14,324],"time-sensitive":[15],"applications":[16,100,165],"such":[17,232],"as":[18,40,42,233],"medical":[19,286],"diagnostic":[20,287],"and":[21,110,130,159,169,251,288],"industrial":[22,111,289],"process":[23],"monitoring.":[24,112,290],"A":[25],"primary":[26],"task":[27],"an":[29,36,187,192,238],"early":[30,57,68,124,167,222,235,303],"approach":[32],"is":[33,185,204],"to":[34,81,194,244,265,279,285],"classify":[35,195],"incomplete":[37],"soon":[41],"possible":[43],"with":[44,178,191,311],"some":[45,318],"desired":[46],"level":[47],"accuracy.":[49],"Recent":[50],"years":[51],"have":[52,65,91,275],"witnessed":[53],"several":[54],"approaches":[55,64,126,138,305],"series.":[61,133],"As":[62],"most":[63],"solved":[66],"the":[67,120,164,175,246,249,298],"problem":[70],"using":[71,199],"a":[72,83,96,171,196,229,294],"diverse":[73],"set":[74],"strategies,":[76],"it":[77],"becomes":[78,241],"very":[79],"important":[80],"make":[82],"thorough":[84],"review":[85,118,296],"existing":[87,137],"solutions.":[88],"These":[89],"solutions":[90],"demonstrated":[92],"reasonable":[93],"performance":[94],"on":[95,123,144,269,301],"wide":[97],"range":[98],"including":[101],"human":[102,270],"activity":[103],"recognition,":[104],"gene":[105],"expression":[106],"based":[107,143],"health":[108],"diagnostic,":[109],"In":[113,228],"this":[114,325],"article,":[115],"we":[116],"presenta-systematic":[117],"current":[121,176,299],"literature":[122,177,300],"both":[128],"univariate":[129],"multivariate":[131],"We":[134,162],"divide":[135],"various":[136],"into":[139],"four":[140,150],"exclusive":[141],"categories":[142,151],"their":[145,312],"proposed":[146],"solution":[147],"strategies.":[148],"The":[149],"include":[152],"prefix":[153],"based,":[154,156,158],"shapelet":[155],"model":[157],"miscellaneous":[160],"approaches.":[161],"discuss":[163],"provide":[170],"quick":[172],"summary":[173],"future":[179],"research":[180],"directions.":[181],"Impact":[182],"Statement-Early":[183],"mainly":[186],"extension":[188],"ability":[193],"limited":[200],"data":[201,217],"points.":[202],"It":[203,315],"true":[205],"that":[206],"one":[207,213],"can":[208,263],"achieve":[209],"better":[210],"accuracy":[211],"if":[212],"waits":[214],"more":[216,242],"points,":[218],"but":[219],"opportunities":[220],"interventions":[223],"could":[224],"equally":[225],"be":[226],"missed.":[227],"pandemic":[230],"situation":[231],"COVID-19,":[234],"detection":[236],"infected":[239],"person":[240],"desirable":[243],"curb":[245],"spread":[247],"virus":[250],"possibly":[252],"save":[253],"lives.":[254],"gas":[258],"(e.g.,":[259],"methyl":[260],"isocyanate)":[261],"leakage":[262],"help":[264],"avoid":[266],"life-threatening":[267],"consequences":[268],"beings.":[271],"techniques":[274],"successfully":[277],"applied":[278],"solve":[280],"many":[281],"time-critical":[282],"problems":[283],"related":[284],"This":[291],"article":[292],"provides":[293],"systematic":[295],"these":[302],"data,":[309],"along":[310],"potential":[313],"applications.":[314],"also":[316],"suggests":[317],"promising":[319],"directions":[320],"further":[322],"work":[323],"area.":[326]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":30},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2020-05-13T00:00:00"}