{"id":"https://openalex.org/W4386321239","doi":"https://doi.org/10.1007/978-3-031-40852-6_17","title":"Improved Euclidean Distance in\u00a0the\u00a0K Nearest Neighbors Method","display_name":"Improved Euclidean Distance in\u00a0the\u00a0K Nearest Neighbors Method","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386321239","doi":"https://doi.org/10.1007/978-3-031-40852-6_17"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-40852-6_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-40852-6_17","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5008445781","display_name":"Ch\u00e9rifa Boucetta","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100943","display_name":"Centre de Recherche en Sciences et Technologies de l'Information et de la Communication","ror":"https://ror.org/016wdna72","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210100943","https://openalex.org/I4210141980","https://openalex.org/I96226040"]},{"id":"https://openalex.org/I96226040","display_name":"Universit\u00e9 de Reims Champagne-Ardenne","ror":"https://ror.org/03hypw319","country_code":"FR","type":"education","lineage":["https://openalex.org/I96226040"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Ch\u00e9rifa Boucetta","raw_affiliation_strings":["CReSTIC EA 3804, 51097, Universit\u00e9 de Reims Champagne-Ardenne, Reims, France"],"affiliations":[{"raw_affiliation_string":"CReSTIC EA 3804, 51097, Universit\u00e9 de Reims Champagne-Ardenne, Reims, France","institution_ids":["https://openalex.org/I96226040","https://openalex.org/I4210100943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060610049","display_name":"Laurent Hussenet","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100943","display_name":"Centre de Recherche en Sciences et Technologies de l'Information et de la Communication","ror":"https://ror.org/016wdna72","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210100943","https://openalex.org/I4210141980","https://openalex.org/I96226040"]},{"id":"https://openalex.org/I96226040","display_name":"Universit\u00e9 de Reims Champagne-Ardenne","ror":"https://ror.org/03hypw319","country_code":"FR","type":"education","lineage":["https://openalex.org/I96226040"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Laurent Hussenet","raw_affiliation_strings":["CReSTIC EA 3804, 51097, Universit\u00e9 de Reims Champagne-Ardenne, Reims, France"],"affiliations":[{"raw_affiliation_string":"CReSTIC EA 3804, 51097, Universit\u00e9 de Reims Champagne-Ardenne, Reims, France","institution_ids":["https://openalex.org/I96226040","https://openalex.org/I4210100943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034348902","display_name":"Michel Herbin","orcid":"https://orcid.org/0000-0002-9162-0082"},"institutions":[{"id":"https://openalex.org/I4210100943","display_name":"Centre de Recherche en Sciences et Technologies de l'Information et de la Communication","ror":"https://ror.org/016wdna72","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210100943","https://openalex.org/I4210141980","https://openalex.org/I96226040"]},{"id":"https://openalex.org/I96226040","display_name":"Universit\u00e9 de Reims Champagne-Ardenne","ror":"https://ror.org/03hypw319","country_code":"FR","type":"education","lineage":["https://openalex.org/I96226040"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Michel Herbin","raw_affiliation_strings":["CReSTIC EA 3804, 51097, Universit\u00e9 de Reims Champagne-Ardenne, Reims, France"],"affiliations":[{"raw_affiliation_string":"CReSTIC EA 3804, 51097, Universit\u00e9 de Reims Champagne-Ardenne, Reims, France","institution_ids":["https://openalex.org/I96226040","https://openalex.org/I4210100943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008445781"],"corresponding_institution_ids":["https://openalex.org/I4210100943","https://openalex.org/I96226040"],"apc_list":null,"apc_paid":null,"fwci":1.5997,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84899598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"315","last_page":"324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987000226974487,"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":0.9983999729156494,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.992900013923645,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.7990821599960327},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7080658674240112},{"id":"https://openalex.org/keywords/euclidean-space","display_name":"Euclidean space","score":0.622896671295166},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6105476021766663},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.5928850769996643},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5359853506088257},{"id":"https://openalex.org/keywords/distance-measures","display_name":"Distance measures","score":0.5055723190307617},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49814462661743164},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47072353959083557},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4620368480682373},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4555980861186981},{"id":"https://openalex.org/keywords/euclidean-distance-matrix","display_name":"Euclidean distance matrix","score":0.4488985538482666},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.43739283084869385},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43115025758743286},{"id":"https://openalex.org/keywords/minkowski-distance","display_name":"Minkowski distance","score":0.4283531904220581},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38720667362213135},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3749382197856903},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3079863488674164},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2694181501865387},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11895030736923218}],"concepts":[{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.7990821599960327},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7080658674240112},{"id":"https://openalex.org/C186450821","wikidata":"https://www.wikidata.org/wiki/Q17295","display_name":"Euclidean space","level":2,"score":0.622896671295166},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6105476021766663},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.5928850769996643},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5359853506088257},{"id":"https://openalex.org/C2639959","wikidata":"https://www.wikidata.org/wiki/Q1344778","display_name":"Distance measures","level":2,"score":0.5055723190307617},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49814462661743164},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47072353959083557},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4620368480682373},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4555980861186981},{"id":"https://openalex.org/C171558263","wikidata":"https://www.wikidata.org/wiki/Q5406122","display_name":"Euclidean distance matrix","level":3,"score":0.4488985538482666},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.43739283084869385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43115025758743286},{"id":"https://openalex.org/C110765721","wikidata":"https://www.wikidata.org/wiki/Q2414361","display_name":"Minkowski distance","level":3,"score":0.4283531904220581},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38720667362213135},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3749382197856903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3079863488674164},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2694181501865387},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11895030736923218},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-031-40852-6_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-40852-6_17","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-04195980v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04195980","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Innovations for Community Services (I4CS), 2023, Bamberg, Germany. pp.315-324, ⟨10.1007/978-3-031-40852-6_17⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1978783777","https://openalex.org/W2016854254","https://openalex.org/W2050055903","https://openalex.org/W2082384736","https://openalex.org/W2086504823","https://openalex.org/W2797054769","https://openalex.org/W2995184021","https://openalex.org/W2997323728","https://openalex.org/W3016449249","https://openalex.org/W3017210109","https://openalex.org/W3105233790","https://openalex.org/W3140455427","https://openalex.org/W4285206534","https://openalex.org/W4285814007","https://openalex.org/W4321489062"],"related_works":["https://openalex.org/W2129888254","https://openalex.org/W1002785061","https://openalex.org/W23595558","https://openalex.org/W162923981","https://openalex.org/W4380882617","https://openalex.org/W1638832135","https://openalex.org/W2893176453","https://openalex.org/W4205198446","https://openalex.org/W2040096716","https://openalex.org/W2994763304"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-01-21T23:30:37.877113","created_date":"2025-10-10T00:00:00"}