{"id":"https://openalex.org/W4210466590","doi":"https://doi.org/10.1007/s00778-022-00729-1","title":"Fast, exact, and parallel-friendly outlier detection algorithms with proximity graph in metric spaces","display_name":"Fast, exact, and parallel-friendly outlier detection algorithms with proximity graph in metric spaces","publication_year":2022,"publication_date":"2022-01-27","ids":{"openalex":"https://openalex.org/W4210466590","doi":"https://doi.org/10.1007/s00778-022-00729-1"},"language":"en","primary_location":{"id":"doi:10.1007/s00778-022-00729-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00778-022-00729-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00778-022-00729-1.pdf","source":{"id":"https://openalex.org/S78926909","display_name":"The VLDB Journal","issn_l":"0949-877X","issn":["0949-877X","1066-8888"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The VLDB Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00778-022-00729-1.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009228302","display_name":"Daichi Amagata","orcid":"https://orcid.org/0000-0001-8571-4931"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Daichi Amagata","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030272842","display_name":"Makoto Onizuka","orcid":"https://orcid.org/0000-0001-5559-8300"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Makoto Onizuka","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012025870","display_name":"Takahiro Hara","orcid":"https://orcid.org/0000-0003-4807-3156"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Hara","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009228302"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":{"value":2290,"currency":"EUR","value_usd":2890},"fwci":1.7939,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.86852048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"31","issue":"4","first_page":"797","last_page":"821"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9746000170707703,"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/exploit","display_name":"Exploit","score":0.8738617897033691},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6857407093048096},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5984004139900208},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5865901708602905},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5531229376792908},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4778944253921509},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47420862317085266},{"id":"https://openalex.org/keywords/graph-algorithms","display_name":"Graph algorithms","score":0.418855220079422},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40112754702568054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39274299144744873},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3851790726184845},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38216397166252136},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08407729864120483}],"concepts":[{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.8738617897033691},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6857407093048096},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5984004139900208},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5865901708602905},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5531229376792908},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4778944253921509},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47420862317085266},{"id":"https://openalex.org/C2986651925","wikidata":"https://www.wikidata.org/wiki/Q1514868","display_name":"Graph algorithms","level":3,"score":0.418855220079422},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40112754702568054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39274299144744873},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3851790726184845},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38216397166252136},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08407729864120483},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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:10.1007/s00778-022-00729-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00778-022-00729-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00778-022-00729-1.pdf","source":{"id":"https://openalex.org/S78926909","display_name":"The VLDB Journal","issn_l":"0949-877X","issn":["0949-877X","1066-8888"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The VLDB Journal","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00778-022-00729-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00778-022-00729-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00778-022-00729-1.pdf","source":{"id":"https://openalex.org/S78926909","display_name":"The VLDB Journal","issn_l":"0949-877X","issn":["0949-877X","1066-8888"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The VLDB Journal","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G193038087","display_name":null,"funder_award_id":"JST CREST","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G2014705669","display_name":null,"funder_award_id":"JPMJPR19","funder_id":"https://openalex.org/F4320338111","funder_display_name":"Precursory Research for Embryonic Science and Technology"},{"id":"https://openalex.org/G2983449479","display_name":null,"funder_award_id":"Scientific Research","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3236194794","display_name":null,"funder_award_id":"Grant-in-Aid","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3282004645","display_name":null,"funder_award_id":"JPMJCR","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G3284097742","display_name":null,"funder_award_id":"PRESTO","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G3459562248","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4170161455","display_name":null,"funder_award_id":"PRESTO","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4269490780","display_name":null,"funder_award_id":"Grant-in-Aid for Scientific Research (A)","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4874944895","display_name":null,"funder_award_id":"-in-Aid","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5518604981","display_name":null,"funder_award_id":"PREST","funder_id":"https://openalex.org/F4320338111","funder_display_name":"Precursory Research for Embryonic Science and Technology"},{"id":"https://openalex.org/G5791763272","display_name":null,"funder_award_id":"JPMJCR21F2","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G6718509927","display_name":null,"funder_award_id":"CREST","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7167128334","display_name":null,"funder_award_id":"Grant-in-Aid for Scientific Researc","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7337825077","display_name":null,"funder_award_id":"Grant-in-Aid for Sc","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8020717712","display_name":null,"funder_award_id":"18H04095","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8430481527","display_name":null,"funder_award_id":"Number","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8759943101","display_name":null,"funder_award_id":"rant-in-Aid for Scientific Research","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"},{"id":"https://openalex.org/F4320338111","display_name":"Precursory Research for Embryonic Science and Technology","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4210466590.pdf","grobid_xml":"https://content.openalex.org/works/W4210466590.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W208301935","https://openalex.org/W1530232915","https://openalex.org/W1889855997","https://openalex.org/W1986332411","https://openalex.org/W1993220166","https://openalex.org/W2007869097","https://openalex.org/W2019183416","https://openalex.org/W2026297770","https://openalex.org/W2043469923","https://openalex.org/W2068483277","https://openalex.org/W2086179657","https://openalex.org/W2106318383","https://openalex.org/W2110026675","https://openalex.org/W2124536999","https://openalex.org/W2129281431","https://openalex.org/W2137130182","https://openalex.org/W2144182447","https://openalex.org/W2152576712","https://openalex.org/W2166377520","https://openalex.org/W2250539671","https://openalex.org/W2257086086","https://openalex.org/W2282861635","https://openalex.org/W2296719434","https://openalex.org/W2427312773","https://openalex.org/W2790756571","https://openalex.org/W2928125049","https://openalex.org/W2948969539","https://openalex.org/W2963265099","https://openalex.org/W2963469388","https://openalex.org/W2964155802","https://openalex.org/W2966559104","https://openalex.org/W3035622304","https://openalex.org/W3103589224","https://openalex.org/W3106018697","https://openalex.org/W3173351289","https://openalex.org/W3174637788","https://openalex.org/W3175358558","https://openalex.org/W4239954780","https://openalex.org/W4240301789"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"many":[2],"fields,":[3],"e.g.,":[4],"data":[5,42,45],"mining":[6,46],"and":[7,20,35,47,100],"machine":[8,48],"learning,":[9],"distance-based":[10],"outlier":[11],"detection":[12],"(DOD)":[13],"is":[14,26,80],"widely":[15],"employed":[16,30],"to":[17,81],"remove":[18],"noises":[19],"find":[21],"abnormal":[22],"phenomena,":[23],"because":[24],"DOD":[25,62,67,120],"unsupervised,":[27],"can":[28],"be":[29],"in":[31],"any":[32,39],"metric":[33],"spaces,":[34],"does":[36],"not":[37],"have":[38],"assumptions":[40],"of":[41,54,105],"distributions.":[43],"Nowadays,":[44],"learning":[49],"applications":[50],"face":[51],"the":[52,66,78,109],"challenge":[53],"dealing":[55],"with":[56,69],"large":[57],"datasets,":[58],"which":[59,76],"requires":[60],"efficient":[61],"algorithms.":[63],"We":[64],"address":[65],"problem":[68],"two":[70],"different":[71],"definitions.":[72],"Our":[73,111],"new":[74,93],"idea,":[75],"solves":[77],"problems,":[79],"exploit":[82],"an":[83,102],"in-memory":[84],"proximity":[85,98,106],"graph.":[86],"For":[87],"each":[88],"problem,":[89],"we":[90],"propose":[91],"a":[92,97],"algorithm":[94],"that":[95,118],"exploits":[96],"graph":[99,107],"analyze":[101],"appropriate":[103],"type":[104],"for":[108],"algorithm.":[110],"empirical":[112],"study":[113],"using":[114],"real":[115],"datasets":[116],"confirms":[117],"our":[119],"algorithms":[121],"are":[122],"significantly":[123],"faster":[124],"than":[125],"state-of-the-art":[126],"ones.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}