{"id":"https://openalex.org/W2548748044","doi":"https://doi.org/10.1109/lsp.2016.2623773","title":"Online Anomaly Detection With Nested Trees","display_name":"Online Anomaly Detection With Nested Trees","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2548748044","doi":"https://doi.org/10.1109/lsp.2016.2623773","mag":"2548748044"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2016.2623773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2623773","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"type":"article","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/A5064912897","display_name":"\u0130brahim Delibalta","orcid":"https://orcid.org/0000-0002-7296-6301"},"institutions":[{"id":"https://openalex.org/I1351752","display_name":"Ko\u00e7 University","ror":"https://ror.org/00jzwgz36","country_code":"TR","type":"education","lineage":["https://openalex.org/I1351752"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Ibrahim Delibalta","raw_affiliation_strings":["Design, Technology and Society Program, Koc University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Design, Technology and Society Program, Koc University, Istanbul, Turkey","institution_ids":["https://openalex.org/I1351752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046978392","display_name":"Kaan G\u00f6kcesu","orcid":"https://orcid.org/0000-0001-7333-419X"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Kaan Gokcesu","raw_affiliation_strings":["Electrical and Electronics Engineering Department, Bilkent University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronics Engineering Department, Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056152995","display_name":"Mustafa \u015eim\u015fek","orcid":null},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mustafa Simsek","raw_affiliation_strings":["Electrical and Electronics Engineering Department, Bilkent University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronics Engineering Department, Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072343019","display_name":"Lemi Baruh","orcid":"https://orcid.org/0000-0002-2797-242X"},"institutions":[{"id":"https://openalex.org/I1351752","display_name":"Ko\u00e7 University","ror":"https://ror.org/00jzwgz36","country_code":"TR","type":"education","lineage":["https://openalex.org/I1351752"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Lemi Baruh","raw_affiliation_strings":["Design, Technology and Society Program, Koc University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Design, Technology and Society Program, Koc University, Istanbul, Turkey","institution_ids":["https://openalex.org/I1351752"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103267259","display_name":"S\u00fcleyman S. Kozat","orcid":"https://orcid.org/0000-0002-6488-3848"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Suleyman S. Kozat","raw_affiliation_strings":["Electrical and Electronics Engineering Department, Bilkent University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronics Engineering Department, Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5064912897"],"corresponding_institution_ids":["https://openalex.org/I1351752"],"apc_list":null,"apc_paid":null,"fwci":1.2854,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.87315162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"23","issue":"12","first_page":"1867","last_page":"1871"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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":0.9991999864578247,"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/computer-science","display_name":"Computer science","score":0.5744982957839966},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5515777468681335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4894667863845825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4454338848590851},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3287888765335083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5744982957839966},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5515777468681335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4894667863845825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4454338848590851},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3287888765335083}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2016.2623773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2623773","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:repository.bilkent.edu.tr:11693/36516","is_oa":false,"landing_page_url":"http://hdl.handle.net/11693/36516","pdf_url":null,"source":{"id":"https://openalex.org/S4306400079","display_name":"Bilkent University Institutional Repository (Bilkent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I168864056","host_organization_name":"Bilkent University","host_organization_lineage":["https://openalex.org/I168864056"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W1506313179","https://openalex.org/W1513231349","https://openalex.org/W1547069917","https://openalex.org/W1970088130","https://openalex.org/W1978071126","https://openalex.org/W1980486587","https://openalex.org/W1992897439","https://openalex.org/W2028132509","https://openalex.org/W2050969847","https://openalex.org/W2069687969","https://openalex.org/W2076534885","https://openalex.org/W2103041471","https://openalex.org/W2103644547","https://openalex.org/W2122646361","https://openalex.org/W2129905273","https://openalex.org/W2140291948","https://openalex.org/W2151969235","https://openalex.org/W2153635508","https://openalex.org/W2155653793","https://openalex.org/W2155817051","https://openalex.org/W2158698691","https://openalex.org/W2159026946","https://openalex.org/W2163294786","https://openalex.org/W2163599171","https://openalex.org/W2287094062","https://openalex.org/W2337344967","https://openalex.org/W2484086571","https://openalex.org/W2964229844","https://openalex.org/W3105835001","https://openalex.org/W3133603318","https://openalex.org/W4233014035","https://openalex.org/W4243330440","https://openalex.org/W4244494905","https://openalex.org/W4296472359","https://openalex.org/W6630632610"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"We":[0,134,163],"introduce":[1],"an":[2,42],"online":[3],"anomaly":[4],"detection":[5],"algorithm":[6,18,38,63,70,246],"that":[7,244],"processes":[8],"data":[9,52,120],"in":[10,41,46,159],"a":[11,20,24,60,80,85,139,160,239],"sequential":[12,189],"manner.":[13,162],"At":[14],"each":[15,178],"time,":[16],"the":[17,51,62,75,91,103,107,117,123,131,136,156,169,183,188,206,212,216,225,249,252],"makes":[19],"new":[21],"observation,":[22],"produces":[23],"decision,":[25],"and":[26,142,174,232],"then":[27,233],"adaptively":[28,164,234],"updates":[29],"all":[30,224],"its":[31,35],"parameters":[32],"to":[33,84,89,100,102,115,121,154,218,229],"enhance":[34],"performance.":[36,190],"The":[37,69,126],"mainly":[39],"works":[40],"unsupervised":[43],"manner":[44],"since":[45],"most":[47],"real-life":[48,240],"applications":[49],"labeling":[50],"is":[53,59,97,113,128],"costly.":[54],"Even":[55],"so,":[56],"whenever":[57],"there":[58,96],"feedback,":[61],"uses":[64],"it":[65,78,200],"for":[66],"better":[67],"adaptation.":[68],"has":[71],"two":[72],"stages.":[73],"In":[74,106],"first":[76,210],"stage,":[77],"constructs":[79],"score":[81,111,137],"function":[82,88,112],"similar":[83],"probability":[86],"density":[87],"model":[90],"underlying":[92],"nominal":[93],"distribution":[94],"(if":[95],"one)":[98],"or":[99],"fit":[101],"observed":[104,119],"data.":[105],"second":[108],"state,":[109],"this":[110],"used":[114,153],"evaluate":[116],"newly":[118],"provide":[122],"final":[124],"decision.":[125],"decision":[127,146,150,172],"given":[129],"after":[130],"well-known":[132],"thresholding.":[133],"construct":[135],"using":[138,238],"highly":[140],"versatile":[141],"completely":[143],"adaptive":[144],"nested":[145],"tree.":[147],"Nested":[148],"soft":[149],"trees":[151],"are":[152],"partition":[155],"observation":[157],"space":[158],"hierarchical":[161],"optimize":[165],"every":[166],"component":[167],"of":[168,215,251],"tree,":[170],"i.e.,":[171],"regions":[173],"probabilistic":[175],"models":[176,226],"at":[177],"node":[179],"as":[180,182],"well":[181],"overall":[184],"structure,":[185],"based":[186],"on":[187],"This":[191],"extensive":[192],"in-time":[193],"adaptation":[194],"provides":[195],"strong":[196],"modeling":[197],"capabilities;":[198],"however,":[199],"may":[201],"cause":[202],"overfitting.":[203],"To":[204],"mitigate":[205],"overfitting":[207],"issues,":[208],"we":[209,242],"use":[211],"intermediate":[213],"nodes":[214],"tree":[217],"produce":[219],"several":[220],"subtrees,":[221],"which":[222],"constitute":[223],"from":[227],"coarser":[228],"full":[230],"extend,":[231],"combine":[235],"them.":[236],"By":[237],"dataset,":[241],"show":[243],"our":[245],"significantly":[247],"outperforms":[248],"state":[250],"art.":[253]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}