{"id":"https://openalex.org/W3139192150","doi":"https://doi.org/10.1109/bigdata50022.2020.9377962","title":"Approximate Distance-based Anomaly Detection at Massive Scale","display_name":"Approximate Distance-based Anomaly Detection at Massive Scale","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3139192150","doi":"https://doi.org/10.1109/bigdata50022.2020.9377962","mag":"3139192150"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9377962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9377962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5056899827","display_name":"Sivam Pasupathipillai","orcid":null},"institutions":[{"id":"https://openalex.org/I137543953","display_name":"Telecom Italia (Italy)","ror":"https://ror.org/00xmwgm53","country_code":"IT","type":"company","lineage":["https://openalex.org/I137543953"]},{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]},{"id":"https://openalex.org/I4210128912","display_name":"F-Secure (Finland)","ror":"https://ror.org/036yna661","country_code":"FI","type":"company","lineage":["https://openalex.org/I4210128912"]}],"countries":["FI","IT"],"is_corresponding":false,"raw_author_name":"Sivam Pasupathipillai","raw_affiliation_strings":["AICE, F-Secure Corporation, Helsinki, Finland","DISI, University of Trento, Trento, Italy","JOL SKIL, Telecom Italia, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AICE, F-Secure Corporation, Helsinki, Finland","institution_ids":["https://openalex.org/I4210128912"]},{"raw_affiliation_string":"DISI, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"JOL SKIL, Telecom Italia, Trento, Italy","institution_ids":["https://openalex.org/I137543953"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015694017","display_name":"Emanuele Della Valle","orcid":"https://orcid.org/0000-0002-5176-5885"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Emanuele Della Valle","raw_affiliation_strings":["DEIB, Politecnico di Milano, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DEIB, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1985","last_page":"1991"},"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":0.9991999864578247,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9943000078201294,"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/anomaly-detection","display_name":"Anomaly detection","score":0.8098956346511841},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7979165315628052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7731857299804688},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5040106177330017},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.46263617277145386},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4361097812652588},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.43537867069244385},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.43190404772758484},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4269852936267853},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4108659327030182}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8098956346511841},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7979165315628052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7731857299804688},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5040106177330017},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.46263617277145386},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4361097812652588},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.43537867069244385},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.43190404772758484},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4269852936267853},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4108659327030182},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9377962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9377962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unitn.it:11572/312575","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/312575","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W42722137","https://openalex.org/W150715854","https://openalex.org/W560804666","https://openalex.org/W1552847225","https://openalex.org/W1560962014","https://openalex.org/W1602011302","https://openalex.org/W1673310716","https://openalex.org/W1952056635","https://openalex.org/W1986332411","https://openalex.org/W2018588330","https://openalex.org/W2054274648","https://openalex.org/W2061240327","https://openalex.org/W2075949491","https://openalex.org/W2105045879","https://openalex.org/W2110784166","https://openalex.org/W2117891917","https://openalex.org/W2122646361","https://openalex.org/W2129281431","https://openalex.org/W2144182447","https://openalex.org/W2144200194","https://openalex.org/W2148583977","https://openalex.org/W2157825442","https://openalex.org/W2170314592","https://openalex.org/W2282861635","https://openalex.org/W2296719434","https://openalex.org/W2337344967","https://openalex.org/W2338990760","https://openalex.org/W2472119793","https://openalex.org/W2744680121","https://openalex.org/W2760451156","https://openalex.org/W2887618259","https://openalex.org/W2942770187","https://openalex.org/W2948830552","https://openalex.org/W2963445059","https://openalex.org/W4239954780","https://openalex.org/W4254182148","https://openalex.org/W6609998551","https://openalex.org/W6637131181","https://openalex.org/W6640726002","https://openalex.org/W6720330311"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W2393741509","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2143820878","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,140],"is":[2,94,109],"valuable":[3,95],"in":[4,28,39,59,85],"many":[5],"domains.":[6],"Distance-based":[7],"algorithms":[8,20,36,49],"are":[9,37],"one":[10],"of":[11,32,41,67,89],"the":[12,68,90,97,118],"most":[13],"well-known":[14],"techniques":[15],"for":[16,47,73],"anomaly":[17,75],"detection.":[18,76],"These":[19],"have":[21],"been":[22],"shown":[23],"to":[24,50],"produce":[25],"good":[26],"accuracy":[27],"a":[29,64],"wide":[30],"range":[31],"applications.":[33],"However,":[34],"distance-based":[35,71],"limited":[38],"terms":[40],"scalability.":[42],"This":[43,92],"makes":[44],"it":[45,108],"difficult":[46],"these":[48],"handle":[51],"massive":[52],"data":[53,99,155],"sets.":[54,156],"To":[55,114,142],"overcome":[56],"this":[57,60,132],"limitation,":[58],"paper":[61],"we":[62,146],"propose":[63],"parallel":[65,86],"formulation":[66,78],"popular":[69],"KNN":[70],"algorithm":[72,120],"unsupervised":[74],"Our":[77],"focused":[79],"on":[80,150],"improving":[81],"scalability":[82,136],"by":[83],"analyzing":[84],"different":[87],"parts":[88],"data.":[91],"approach":[93,133],"whenever":[96],"analyzed":[98],"does":[100],"not":[101],"fit":[102],"comfortably":[103],"into":[104],"memory,":[105],"or":[106],"when":[107],"distributed":[110],"across":[111],"several":[112],"locations.":[113],"reduce":[115],"synchronization":[116],"latency,":[117],"proposed":[119],"computes":[121],"approximate":[122],"nearest":[123],"neighborhoods.":[124],"We":[125],"show,":[126],"both":[127,151],"theoretically":[128],"and":[129,153],"empirically,":[130],"how":[131],"greatly":[134],"improves":[135],"without":[137],"significantly":[138],"penalizing":[139],"accuracy.":[141],"validate":[143],"our":[144],"approach,":[145],"perform":[147],"extensive":[148],"experiments":[149],"synthetic":[152],"real-world":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
