{"id":"https://openalex.org/W4388348966","doi":"https://doi.org/10.1007/978-3-031-46661-8_36","title":"Multidimensional Adaptative kNN over\u00a0Tracking Outliers (Makoto)","display_name":"Multidimensional Adaptative kNN over\u00a0Tracking Outliers (Makoto)","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388348966","doi":"https://doi.org/10.1007/978-3-031-46661-8_36"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-46661-8_36","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-46661-8_36","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-05039884v1/file/Multidimensional_Adaptative_kNN_Over_Tracking_Outliers_%28Makoto%29.pdf.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006002956","display_name":"Jessy Colonval","orcid":"https://orcid.org/0000-0001-6792-0264"},"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/I2802759292","display_name":"Franche-Comt\u00e9 \u00c9lectronique M\u00e9canique Thermique et Optique - Sciences et Technologies","ror":"https://ror.org/004fmxv66","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2802759292","https://openalex.org/I37553959","https://openalex.org/I4210095849","https://openalex.org/I4405256580","https://openalex.org/I53262699"]},{"id":"https://openalex.org/I90843659","display_name":"Universit\u00e9 de franche-comt\u00e9","ror":"https://ror.org/03pcc9z86","country_code":"FR","type":"education","lineage":["https://openalex.org/I90843659"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Jessy Colonval","raw_affiliation_strings":["FEMTO-ST Institue, CNRS, Univ. de Franche Comt\u00e9 (UFC), Besan\u00e7on, France"],"affiliations":[{"raw_affiliation_string":"FEMTO-ST Institue, CNRS, Univ. de Franche Comt\u00e9 (UFC), Besan\u00e7on, France","institution_ids":["https://openalex.org/I90843659","https://openalex.org/I2802759292","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068728219","display_name":"Fabrice Bouquet","orcid":"https://orcid.org/0000-0001-9181-1172"},"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/I2802759292","display_name":"Franche-Comt\u00e9 \u00c9lectronique M\u00e9canique Thermique et Optique - Sciences et Technologies","ror":"https://ror.org/004fmxv66","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2802759292","https://openalex.org/I37553959","https://openalex.org/I4210095849","https://openalex.org/I4405256580","https://openalex.org/I53262699"]},{"id":"https://openalex.org/I90843659","display_name":"Universit\u00e9 de franche-comt\u00e9","ror":"https://ror.org/03pcc9z86","country_code":"FR","type":"education","lineage":["https://openalex.org/I90843659"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fabrice Bouquet","raw_affiliation_strings":["FEMTO-ST Institue, CNRS, Univ. de Franche Comt\u00e9 (UFC), Besan\u00e7on, France"],"affiliations":[{"raw_affiliation_string":"FEMTO-ST Institue, CNRS, Univ. de Franche Comt\u00e9 (UFC), Besan\u00e7on, France","institution_ids":["https://openalex.org/I90843659","https://openalex.org/I2802759292","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006002956"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I2802759292","https://openalex.org/I90843659"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.5332,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70792644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"535","last_page":"550"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T11220","display_name":"Water Systems and Optimization","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.813072919845581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7563586235046387},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.63358473777771},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6088100671768188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5689166188240051},{"id":"https://openalex.org/keywords/local-outlier-factor","display_name":"Local outlier factor","score":0.5571232438087463},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4805508255958557},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4605310261249542},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4592980444431305},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4543624520301819},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43622681498527527},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43080997467041016},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4205498695373535}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.813072919845581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7563586235046387},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.63358473777771},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6088100671768188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5689166188240051},{"id":"https://openalex.org/C169029474","wikidata":"https://www.wikidata.org/wiki/Q387942","display_name":"Local outlier factor","level":3,"score":0.5571232438087463},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4805508255958557},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4605310261249542},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4592980444431305},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4543624520301819},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43622681498527527},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43080997467041016},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4205498695373535},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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:10.1007/978-3-031-46661-8_36","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-46661-8_36","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-05039884v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05039884","pdf_url":"https://hal.science/hal-05039884v1/file/Multidimensional_Adaptative_kNN_Over_Tracking_Outliers_%28Makoto%29.pdf.pdf","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advanced Data Mining and Applications, Aug 2023, Shenyang, China. pp.535-550, ⟨10.1007/978-3-031-46661-8_36⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-05039884v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05039884","pdf_url":"https://hal.science/hal-05039884v1/file/Multidimensional_Adaptative_kNN_Over_Tracking_Outliers_%28Makoto%29.pdf.pdf","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advanced Data Mining and Applications, Aug 2023, Shenyang, China. pp.535-550, ⟨10.1007/978-3-031-46661-8_36⟩","raw_type":"Conference papers"},"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388348966.pdf","grobid_xml":"https://content.openalex.org/works/W4388348966.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W92454686","https://openalex.org/W154343146","https://openalex.org/W1995443851","https://openalex.org/W2000661457","https://openalex.org/W2030646297","https://openalex.org/W2087419855","https://openalex.org/W2096793442","https://openalex.org/W2134490011","https://openalex.org/W2137295153","https://openalex.org/W2507846080","https://openalex.org/W2764195398","https://openalex.org/W4254182148","https://openalex.org/W4256141317"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W2770832849","https://openalex.org/W3111802945","https://openalex.org/W205872183","https://openalex.org/W114119537","https://openalex.org/W2912112202","https://openalex.org/W4240627425","https://openalex.org/W2761705761","https://openalex.org/W2946096271","https://openalex.org/W2359185137"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-21T23:30:37.877113","created_date":"2025-10-10T00:00:00"}