{"id":"https://openalex.org/W3007200303","doi":"https://doi.org/10.1109/bigdata47090.2019.9006151","title":"Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection","display_name":"Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007200303","doi":"https://doi.org/10.1109/bigdata47090.2019.9006151","mag":"3007200303"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9006151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1902.00567","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101666775","display_name":"Zekun Xu","orcid":"https://orcid.org/0000-0002-1968-7100"},"institutions":[{"id":"https://openalex.org/I122754148","display_name":"SAS Institute (United States)","ror":"https://ror.org/01093z329","country_code":"US","type":"company","lineage":["https://openalex.org/I122754148"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zekun Xu","raw_affiliation_strings":["R&D, Internet of Things, SAS Institute Inc., Cary, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"R&D, Internet of Things, SAS Institute Inc., Cary, NC, USA","institution_ids":["https://openalex.org/I122754148"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036629973","display_name":"Deovrat Kakde","orcid":null},"institutions":[{"id":"https://openalex.org/I122754148","display_name":"SAS Institute (United States)","ror":"https://ror.org/01093z329","country_code":"US","type":"company","lineage":["https://openalex.org/I122754148"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deovrat Kakde","raw_affiliation_strings":["R&D, Internet of Things, SAS Institute Inc., Cary, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"R&D, Internet of Things, SAS Institute Inc., Cary, NC, USA","institution_ids":["https://openalex.org/I122754148"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050498604","display_name":"Arin Chaudhuri","orcid":"https://orcid.org/0000-0002-3398-2800"},"institutions":[{"id":"https://openalex.org/I122754148","display_name":"SAS Institute (United States)","ror":"https://ror.org/01093z329","country_code":"US","type":"company","lineage":["https://openalex.org/I122754148"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arin Chaudhuri","raw_affiliation_strings":["R&D, Internet of Things, SAS Institute Inc., Cary, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"R&D, Internet of Things, SAS Institute Inc., Cary, NC, USA","institution_ids":["https://openalex.org/I122754148"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I122754148"],"apc_list":null,"apc_paid":null,"fwci":1.9682,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.90638794,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4201","last_page":"4207"},"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":0.9979000091552734,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.8732893466949463},{"id":"https://openalex.org/keywords/local-outlier-factor","display_name":"Local outlier factor","score":0.8301824331283569},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8288369178771973},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6389760971069336},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5398601293563843},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.5349871516227722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48449012637138367},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.45064812898635864},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4093111753463745}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8732893466949463},{"id":"https://openalex.org/C169029474","wikidata":"https://www.wikidata.org/wiki/Q387942","display_name":"Local outlier factor","level":3,"score":0.8301824331283569},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8288369178771973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6389760971069336},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5398601293563843},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.5349871516227722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48449012637138367},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.45064812898635864},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4093111753463745},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9006151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1902.00567","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1902.00567","pdf_url":"https://arxiv.org/pdf/1902.00567","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,"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1902.00567","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1902.00567","pdf_url":"https://arxiv.org/pdf/1902.00567","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,"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"},"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W42722137","https://openalex.org/W164607750","https://openalex.org/W1486001387","https://openalex.org/W1531259569","https://openalex.org/W1537439862","https://openalex.org/W1887038067","https://openalex.org/W1996125472","https://openalex.org/W2007087405","https://openalex.org/W2014235936","https://openalex.org/W2041184937","https://openalex.org/W2056081083","https://openalex.org/W2061122559","https://openalex.org/W2082042699","https://openalex.org/W2089497633","https://openalex.org/W2112796928","https://openalex.org/W2119821739","https://openalex.org/W2122605369","https://openalex.org/W2128018347","https://openalex.org/W2128050080","https://openalex.org/W2131989759","https://openalex.org/W2132870739","https://openalex.org/W2133590498","https://openalex.org/W2144182447","https://openalex.org/W2144200194","https://openalex.org/W2170605888","https://openalex.org/W2217007515","https://openalex.org/W2296719434","https://openalex.org/W2324645192","https://openalex.org/W2369712355","https://openalex.org/W2443352794","https://openalex.org/W2500517591","https://openalex.org/W2613403349","https://openalex.org/W2624543473","https://openalex.org/W2892103729","https://openalex.org/W2895848775","https://openalex.org/W2909824977","https://openalex.org/W2949362468","https://openalex.org/W4231746694","https://openalex.org/W4239510810","https://openalex.org/W4245252159","https://openalex.org/W4254420769","https://openalex.org/W6632006871","https://openalex.org/W6639415379","https://openalex.org/W6684723771"],"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/W2806741695","https://openalex.org/W4240627425","https://openalex.org/W2761705761","https://openalex.org/W2912112202","https://openalex.org/W2946096271"],"abstract_inverted_index":{"Local":[0],"outlier":[1],"factor":[2],"(LOF)":[3],"is":[4,103],"a":[5,126],"state-of-the-art":[6],"unsupervised":[7,91],"machine":[8,92],"learning":[9,93],"model":[10,144],"for":[11,56,90,138],"anomaly":[12,113],"detection":[13],"in":[14,31,41,69,97,117,134,154],"the":[15,63,70,79,98,105,118,132,147],"Internet":[16],"of":[17,29,66,81,87,100,112],"Things":[18],"(IoT).":[19],"In":[20,121],"recent":[21],"years,":[22],"there":[23],"have":[24],"been":[25],"many":[26],"important":[27],"applications":[28],"LOF":[30,59,96,135,143],"large":[32],"IoT":[33,71,101],"systems,":[34,52],"such":[35],"as":[36],"wireless":[37],"transmission":[38],"device":[39],"system":[40],"high-speed":[42],"trains,":[43],"smart":[44],"city":[45],"vehicular":[46],"social":[47],"networks,":[48],"industrial":[49],"conditional":[50],"monitoring":[51],"and":[53,157],"network":[54],"infrastructures":[55],"cyber":[57],"security.":[58],"aims":[60],"to":[61,130],"forecast":[62],"imminent":[64],"faults":[65],"an":[67],"appliance":[68],"system,":[72],"whose":[73],"predictive":[74,152],"performance":[75,153],"greatly":[76],"depends":[77],"on":[78],"selection":[80],"its":[82],"hyperparameters.":[83],"The":[84],"major":[85],"challenge":[86],"hyperparameter":[88],"tuning":[89],"models":[94],"including":[95],"context":[99],"systems":[102],"that":[104,114,136,145],"incoming":[106],"data":[107,159],"may":[108],"contain":[109],"new":[110],"types":[111],"are":[115],"unseen":[116],"training":[119],"data.":[120],"this":[122,139],"paper,":[123],"we":[124],"propose":[125],"novel,":[127],"heuristic":[128],"methodology":[129],"tune":[131],"hyperparameters":[133],"accounts":[137],"challenge.":[140],"A":[141],"tuned":[142],"uses":[146],"proposed":[148],"method":[149],"shows":[150],"good":[151],"both":[155],"simulations":[156],"real":[158],"applications.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2020-03-06T00:00:00"}
