{"id":"https://openalex.org/W4320728679","doi":"https://doi.org/10.1007/s10115-023-01835-4","title":"Elastic similarity and distance measures for multivariate time series","display_name":"Elastic similarity and distance measures for multivariate time series","publication_year":2023,"publication_date":"2023-02-14","ids":{"openalex":"https://openalex.org/W4320728679","doi":"https://doi.org/10.1007/s10115-023-01835-4"},"language":"en","primary_location":{"id":"doi:10.1007/s10115-023-01835-4","doi":"https://doi.org/10.1007/s10115-023-01835-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-023-01835-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-023-01835-4.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-class-a","anvur-scientific","ccf-b","cwts-core","dongbi-d","jufo-2","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10115-023-01835-4.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029576303","display_name":"Ahmed Shifaz","orcid":"https://orcid.org/0000-0002-4627-8935","observed_orcids":["https://orcid.org/0000-0002-4627-8935"]},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Ahmed Shifaz","raw_affiliation_strings":["Department of Data Science and Artificial Intelligence, Monash University, Melbourne, VIC, 3800, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4627-8935","affiliations":[{"raw_affiliation_string":"Department of Data Science and Artificial Intelligence, Monash University, Melbourne, VIC, 3800, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032732048","display_name":"Charlotte Pelletier","orcid":"https://orcid.org/0000-0002-4652-7778","observed_orcids":["https://orcid.org/0000-0002-4652-7778"]},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2802204017","display_name":"Universit\u00e9 de Bretagne Sud","ror":"https://ror.org/04ed7fw48","country_code":"FR","type":"education","lineage":["https://openalex.org/I2802204017"]},{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU","FR"],"is_corresponding":false,"raw_author_name":"Charlotte Pelletier","raw_affiliation_strings":["Department of Data Science and Artificial Intelligence, Monash University, Melbourne, VIC, 3800, Australia","IRISA, UMR CNRS 6074, Universit\u00e9 Bretagne Sud, Campus de Tohannic, BP 573, 56 000, Vannes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Data Science and Artificial Intelligence, Monash University, Melbourne, VIC, 3800, Australia","institution_ids":["https://openalex.org/I56590836"]},{"raw_affiliation_string":"IRISA, UMR CNRS 6074, Universit\u00e9 Bretagne Sud, Campus de Tohannic, BP 573, 56 000, Vannes, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I2802204017","https://openalex.org/I2802519937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005781957","display_name":"Fran\u00e7ois Petitjean","orcid":"https://orcid.org/0000-0001-5334-3574","observed_orcids":["https://orcid.org/0000-0001-5334-3574"]},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Fran\u00e7ois Petitjean","raw_affiliation_strings":["Department of Data Science and Artificial Intelligence, Monash University, Melbourne, VIC, 3800, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Data Science and Artificial Intelligence, Monash University, Melbourne, VIC, 3800, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058054791","display_name":"Geoffrey I. Webb","orcid":"https://orcid.org/0000-0001-9963-5169","observed_orcids":["https://orcid.org/0000-0001-9963-5169"]},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Geoffrey I. Webb","raw_affiliation_strings":["Department of Data Science and Artificial Intelligence, Monash University, Melbourne, VIC, 3800, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Data Science and Artificial Intelligence, Monash University, Melbourne, VIC, 3800, Australia","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029576303"],"corresponding_institution_ids":["https://openalex.org/I56590836"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":5.6678,"has_fulltext":true,"cited_by_count":57,"citation_normalized_percentile":{"value":0.97659047,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"65","issue":"6","first_page":"2665","last_page":"2698"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":1.0,"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":1.0,"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":0.0,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/multivariate-time-series","display_name":"multivariate time series","score":0.859000027179718},{"id":"https://openalex.org/keywords/time-series-distance-measures","display_name":"time series distance measures","score":0.9620000123977661},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"dynamic time warping","score":0.8730000257492065},{"id":"https://openalex.org/keywords/time-series-classification","display_name":"time series classification","score":0.7369999885559082},{"id":"https://openalex.org/keywords/nearest-neighbor-classification","display_name":"nearest neighbor classification","score":0.9509999752044678}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.8547195196151733},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.8232974410057068},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6337525248527527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5930452346801758},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5443586111068726},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5372182726860046},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5347142815589905},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5196655988693237},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5069646835327148},{"id":"https://openalex.org/C2639959","wikidata":"https://www.wikidata.org/wiki/Q1344778","display_name":"Distance measures","level":2,"score":0.5018341541290283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5013022422790527},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47385504841804504},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4477710723876953},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22008618712425232},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/s10115-023-01835-4","doi":"https://doi.org/10.1007/s10115-023-01835-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-023-01835-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-023-01835-4.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-class-a","anvur-scientific","ccf-b","cwts-core","dongbi-d","jufo-2","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2102.10231","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.10231","pdf_url":"https://arxiv.org/pdf/2102.10231","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},{"id":"pmh:oai:HAL:hal-03515496v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-03515496","pdf_url":"https://hal.science/hal-03515496v1/file/shifaz_2020.pdf","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Knowledge and Information Systems (KAIS), 2023, &#x27E8;10.1007/s10115-023-01835-4&#x27E9;","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:monash.edu:openaire/c77be451-9f54-4341-aaac-ac1cb1fb7e7d","doi":null,"is_oa":true,"landing_page_url":"https://research.monash.edu/en/publications/c77be451-9f54-4341-aaac-ac1cb1fb7e7d","pdf_url":null,"source":{"id":"https://openalex.org/S4306402625","display_name":"Monash University Research Portal (Monash University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I56590836","host_organization_name":"Monash University","host_organization_lineage":["https://openalex.org/I56590836"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Shifaz, A, Pelletier, C, Petitjean, F & Webb, G I 2023, 'Elastic similarity and distance measures for multivariate time series', Knowledge and Information Systems, vol. 65, pp. 2665\u20132698. https://doi.org/10.1007/s10115-023-01835-4","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.48550/arxiv.2102.10231","doi":"https://doi.org/10.48550/arxiv.2102.10231","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2102.10231","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1007/s10115-023-01835-4","doi":"https://doi.org/10.1007/s10115-023-01835-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-023-01835-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-023-01835-4.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-class-a","anvur-scientific","ccf-b","cwts-core","dongbi-d","jufo-2","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2365865096","display_name":null,"funder_award_id":"FA2386","funder_id":"https://openalex.org/F4320318019","funder_display_name":"Asian Office of Aerospace Research and Development"},{"id":"https://openalex.org/G3591598716","display_name":null,"funder_award_id":"FA2386","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G4024461986","display_name":null,"funder_award_id":"FA2386-18-1-4030","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G5950738133","display_name":"Time Series Classification for Complex Dynamic Global Problems","funder_award_id":"DP210100072","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G6986529692","display_name":null,"funder_award_id":"FA2386-18-1-4030","funder_id":"https://openalex.org/F4320318019","funder_display_name":"Asian Office of Aerospace Research and Development"}],"funders":[{"id":"https://openalex.org/F4320318019","display_name":"Asian Office of Aerospace Research and Development","ror":"https://ror.org/04krhg278"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4320728679.pdf","grobid_xml":"https://content.openalex.org/works/W4320728679.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W116902681","https://openalex.org/W1518156650","https://openalex.org/W1527356121","https://openalex.org/W1534304300","https://openalex.org/W1565746575","https://openalex.org/W1597504361","https://openalex.org/W1604645467","https://openalex.org/W1853995153","https://openalex.org/W1894414046","https://openalex.org/W1968354112","https://openalex.org/W1974339580","https://openalex.org/W1984674851","https://openalex.org/W2008348094","https://openalex.org/W2034528422","https://openalex.org/W2050493487","https://openalex.org/W2063729131","https://openalex.org/W2067288508","https://openalex.org/W2097747115","https://openalex.org/W2098759488","https://openalex.org/W2118371392","https://openalex.org/W2118529802","https://openalex.org/W2128160875","https://openalex.org/W2137089646","https://openalex.org/W2139440613","https://openalex.org/W2141536962","https://openalex.org/W2143325592","https://openalex.org/W2147880780","https://openalex.org/W2162744351","https://openalex.org/W2166547175","https://openalex.org/W2283896980","https://openalex.org/W2468738844","https://openalex.org/W2551393996","https://openalex.org/W2555077524","https://openalex.org/W2578040940","https://openalex.org/W2581867724","https://openalex.org/W2771712594","https://openalex.org/W2774135397","https://openalex.org/W2786161686","https://openalex.org/W2802183958","https://openalex.org/W2888791883","https://openalex.org/W2892035503","https://openalex.org/W2897647030","https://openalex.org/W2898647012","https://openalex.org/W2954112873","https://openalex.org/W2966392777","https://openalex.org/W2970478682","https://openalex.org/W2972810968","https://openalex.org/W2982438846","https://openalex.org/W3015740918","https://openalex.org/W3035125997","https://openalex.org/W3080921724","https://openalex.org/W3092951990","https://openalex.org/W3110709724","https://openalex.org/W3115948762","https://openalex.org/W3154612845","https://openalex.org/W3170663855","https://openalex.org/W4239867545"],"related_works":["https://openalex.org/W2731215920","https://openalex.org/W2050493487","https://openalex.org/W2170238273","https://openalex.org/W2591622283","https://openalex.org/W4411403173","https://openalex.org/W2773407943","https://openalex.org/W1540231773","https://openalex.org/W4399728821","https://openalex.org/W2523398186","https://openalex.org/W4409832684"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"contributes":[3],"multivariate":[4,45,80,122,175],"versions":[5,139],"of":[6,33,47,97,117,121,140,162],"seven":[7,61],"commonly":[8],"used":[9,42],"elastic":[10],"similarity":[11,21,123],"and":[12,22,56,124,165],"distance":[13,23,125],"measures":[14,24,65,99,142,164],"for":[15,27,134],"time":[16,31,34,71,81,176],"series":[17,35,72,82,177],"data":[18],"analytics.":[19],"Elastic":[20],"can":[25,66],"compensate":[26],"misalignments":[28],"in":[29,43],"the":[30,48,85,98,103,115,137,163],"axis":[32],"data.":[36],"We":[37,127],"adapt":[38],"two":[39],"existing":[40],"strategies":[41],"a":[44,119,158],"version":[46],"well-known":[49,91],"Dynamic":[50],"Time":[51],"Warping":[52],"(DTW),":[53],"namely,":[54],"Independent":[55],"Dependent":[57],"DTW,":[58],"to":[59,69,107,171],"these":[60,64],"measures.":[62,126],"While":[63],"be":[67],"applied":[68],"various":[70],"analysis":[73],"tasks,":[74],"we":[75,93,155],"demonstrate":[76,94,129],"their":[77,147],"utility":[78],"on":[79,109],"classification":[83],"using":[84],"nearest":[86,159],"neighbor":[87],"classifier.":[88],"On":[89],"23":[90],"datasets,":[92],"that":[95,130,167],"each":[96],"but":[100],"one":[101,112],"achieves":[102],"highest":[104],"accuracy":[105],"relative":[106],"others":[108],"at":[110],"least":[111],"dataset,":[113],"supporting":[114],"value":[116],"developing":[118],"suite":[120],"also":[128,156],"there":[131],"are":[132,143],"datasets":[133],"which":[135],"either":[136],"dependent":[138],"all":[141],"more":[144],"accurate":[145],"than":[146],"independent":[148],"counterparts":[149],"or":[150],"vice":[151],"versa.":[152],"In":[153],"addition,":[154],"construct":[157],"neighbor-based":[160],"ensemble":[161],"show":[166],"it":[168],"is":[169],"competitive":[170],"other":[172],"state-of-the-art":[173],"single-strategy":[174],"classifiers.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-02-15T00:00:00"}
