{"id":"https://openalex.org/W4407081847","doi":"https://doi.org/10.1007/s10618-024-01086-z","title":"A comparative evaluation of clustering-based outlier detection","display_name":"A comparative evaluation of clustering-based outlier detection","publication_year":2025,"publication_date":"2025-02-03","ids":{"openalex":"https://openalex.org/W4407081847","doi":"https://doi.org/10.1007/s10618-024-01086-z"},"language":"en","primary_location":{"id":"doi:10.1007/s10618-024-01086-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-024-01086-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-024-01086-z.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"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":"Data Mining and Knowledge Discovery","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/s10618-024-01086-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028607094","display_name":"Braulio V. S\u00e1nchez Vinces","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Braulio V. S\u00e1nchez Vinces","raw_affiliation_strings":["University of S\u00e3o Paulo, S\u00e3o Carlos, 13566, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo, S\u00e3o Carlos, 13566, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068514720","display_name":"Erich Schubert","orcid":"https://orcid.org/0000-0001-9143-4880"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Erich Schubert","raw_affiliation_strings":["TU Dortmund University, Dortmund, 44227, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Dortmund University, Dortmund, 44227, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047196019","display_name":"Arthur Zimek","orcid":"https://orcid.org/0000-0001-7713-4208"},"institutions":[{"id":"https://openalex.org/I177969490","display_name":"University of Southern Denmark","ror":"https://ror.org/03yrrjy16","country_code":"DK","type":"education","lineage":["https://openalex.org/I177969490"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Arthur Zimek","raw_affiliation_strings":["University of Southern Denmark, Odense, 5230, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern Denmark, Odense, 5230, Denmark","institution_ids":["https://openalex.org/I177969490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085964688","display_name":"Robson L. F. Cordeiro","orcid":"https://orcid.org/0000-0002-6795-3004"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robson L. F. Cordeiro","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, 15213, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, 15213, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068514720"],"corresponding_institution_ids":["https://openalex.org/I200332995"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":29.0821,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.99572231,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"39","issue":"2","first_page":null,"last_page":null},"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":0.9940999746322632,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8669967651367188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7590184211730957},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6252446174621582},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6035010814666748},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5796539187431335},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5557997226715088},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5349551439285278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5169669985771179},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.5017557144165039},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4954487085342407},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4541459083557129}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8669967651367188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7590184211730957},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6252446174621582},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6035010814666748},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5796539187431335},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5557997226715088},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5349551439285278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5169669985771179},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.5017557144165039},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4954487085342407},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4541459083557129},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10618-024-01086-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-024-01086-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-024-01086-z.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"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":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},{"id":"pmh:oai:sdu.dk:openaire/cbefa281-455f-48ca-b49a-6ed1c88e0bc5","is_oa":true,"landing_page_url":"https://portal.findresearcher.sdu.dk/da/publications/cbefa281-455f-48ca-b49a-6ed1c88e0bc5","pdf_url":null,"source":{"id":"https://openalex.org/S4306400423","display_name":"University of Southern Denmark Research Portal (University of Southern Denmark)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177969490","host_organization_name":"University of Southern Denmark","host_organization_lineage":["https://openalex.org/I177969490"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"S\u00e1nchez Vinces, B V, Schubert, E, Zimek, A & Cordeiro, R L F 2025, 'A comparative evaluation of clustering-based outlier detection', Data Mining and Knowledge Discovery, vol. 39, no. 2, 13. https://doi.org/10.1007/s10618-024-01086-z","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10618-024-01086-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-024-01086-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-024-01086-z.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"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":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2652993940","display_name":null,"funder_award_id":"PROEX-10712476/D","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320329559","display_name":"Technische Universit\u00e4t Dortmund","ror":"https://ror.org/01k97gp34"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407081847.pdf","grobid_xml":"https://content.openalex.org/works/W4407081847.grobid-xml"},"referenced_works_count":108,"referenced_works":["https://openalex.org/W74574550","https://openalex.org/W106621143","https://openalex.org/W118481696","https://openalex.org/W199035648","https://openalex.org/W309312769","https://openalex.org/W632121358","https://openalex.org/W780263238","https://openalex.org/W1498047526","https://openalex.org/W1530232915","https://openalex.org/W1577499353","https://openalex.org/W1584412742","https://openalex.org/W1967702193","https://openalex.org/W1976526581","https://openalex.org/W1977496278","https://openalex.org/W1978239142","https://openalex.org/W1985059878","https://openalex.org/W1985622505","https://openalex.org/W1986332411","https://openalex.org/W1987971958","https://openalex.org/W1991357106","https://openalex.org/W2001245517","https://openalex.org/W2009563919","https://openalex.org/W2015887370","https://openalex.org/W2018944012","https://openalex.org/W2019014808","https://openalex.org/W2026705124","https://openalex.org/W2027001671","https://openalex.org/W2039841137","https://openalex.org/W2044386109","https://openalex.org/W2045765911","https://openalex.org/W2046799831","https://openalex.org/W2049058890","https://openalex.org/W2049633694","https://openalex.org/W2057712948","https://openalex.org/W2064029323","https://openalex.org/W2067092965","https://openalex.org/W2076758681","https://openalex.org/W2079361215","https://openalex.org/W2082503527","https://openalex.org/W2085423423","https://openalex.org/W2085766370","https://openalex.org/W2088340225","https://openalex.org/W2095525828","https://openalex.org/W2096552750","https://openalex.org/W2097017789","https://openalex.org/W2097933912","https://openalex.org/W2100678256","https://openalex.org/W2101549186","https://openalex.org/W2102286993","https://openalex.org/W2102999520","https://openalex.org/W2105510466","https://openalex.org/W2110784166","https://openalex.org/W2117672932","https://openalex.org/W2122646361","https://openalex.org/W2134490011","https://openalex.org/W2137130182","https://openalex.org/W2144182447","https://openalex.org/W2160642098","https://openalex.org/W2180566385","https://openalex.org/W2282861635","https://openalex.org/W2296719434","https://openalex.org/W2337344967","https://openalex.org/W2342940494","https://openalex.org/W2395916081","https://openalex.org/W2403008614","https://openalex.org/W2408186052","https://openalex.org/W2509974555","https://openalex.org/W2532189199","https://openalex.org/W2536253352","https://openalex.org/W2558332556","https://openalex.org/W2589855959","https://openalex.org/W2599354622","https://openalex.org/W2760451156","https://openalex.org/W2810103615","https://openalex.org/W2868209013","https://openalex.org/W2888297916","https://openalex.org/W2902708118","https://openalex.org/W2913775009","https://openalex.org/W2941323067","https://openalex.org/W3023130939","https://openalex.org/W3035622304","https://openalex.org/W3039137796","https://openalex.org/W3040266635","https://openalex.org/W3044439675","https://openalex.org/W3083050659","https://openalex.org/W3083424454","https://openalex.org/W3104083384","https://openalex.org/W3128058200","https://openalex.org/W3135550350","https://openalex.org/W3169714035","https://openalex.org/W4230927207","https://openalex.org/W4231029117","https://openalex.org/W4235169531","https://openalex.org/W4244268470","https://openalex.org/W4245398524","https://openalex.org/W4253461361","https://openalex.org/W4285781363","https://openalex.org/W4297433771","https://openalex.org/W4312293056","https://openalex.org/W4312423502","https://openalex.org/W4312433903","https://openalex.org/W4376956106","https://openalex.org/W4383199656","https://openalex.org/W4384407578","https://openalex.org/W4384564296","https://openalex.org/W4385958079","https://openalex.org/W4387960541","https://openalex.org/W4403716396"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729","https://openalex.org/W2559422900","https://openalex.org/W2171610853","https://openalex.org/W3144143113","https://openalex.org/W3022637481"],"abstract_inverted_index":{"Abstract":[0],"We":[1,91,154,187],"perform":[2],"an":[3],"extensive":[4],"experimental":[5],"evaluation":[6,26],"of":[7,95,103,126,151,158,184,211],"clustering-based":[8,74,167,220,236],"outlier":[9,152],"detection":[10],"methods.":[11],"These":[12],"methods":[13,139,168,221,237],"offer":[14,252],"benefits":[15],"such":[16],"as":[17,243,249],"efficiency,":[18],"the":[19,53,83,89,93,96,98,110,113,149,159,180,207,219,229],"possibility":[20],"to":[21,56,69,115,178,196,203],"capitalize":[22],"on":[23,123,223],"more":[24,28],"mature":[25],"measures,":[27],"developed":[29],"subspace":[30],"analysis":[31],"for":[32],"high-dimensional":[33],"data":[34,104],"and":[35,38,58,63,80,105,112,169,182,191,199,232],"better":[36],"explainability,":[37],"yet":[39],"they":[40,250],"have":[41],"so-far":[42],"been":[43,131],"neglected":[44],"in":[45,78,88,107,164,245],"literature.":[46,90],"To":[47],"our":[48,50],"knowledge,":[49],"work":[51],"is":[52,68],"first":[54],"effort":[55],"analytically":[57],"empirically":[59],"study":[60,156],"their":[61],"advantages":[62],"disadvantages.":[64],"Our":[65,215],"main":[66],"goal":[67],"evaluate":[70],"whether":[71],"or":[72],"not":[73,227],"techniques":[75],"can":[76],"compete":[77],"efficiency":[79],"effectiveness":[81],"against":[82,100],"most":[84],"studied":[85],"state-of-the-art":[86,150],"algorithms":[87],"consider":[92,188],"quality":[94,255],"results,":[97],"resilience":[99],"different":[101],"types":[102],"variations":[106],"parameter":[108,119],"configuration,":[109],"scalability,":[111],"ability":[114],"filter":[116],"out":[117],"inappropriate":[118],"values":[120],"automatically":[121],"based":[122],"internal":[124],"measures":[125],"clustering":[127],"quality.":[128],"It":[129],"has":[130],"recently":[132],"shown":[133],"that":[134,218,235],"several":[135,263],"classic,":[136],"simple,":[137],"unsupervised":[138,162],"surpass":[140],"many":[141],"deep":[142],"learning":[143],"approaches":[144],"and,":[145],"hence,":[146],"remain":[147],"at":[148,256],"detection.":[153],"therefore":[155],"14":[157],"best":[160],"classic":[161],"methods,":[163],"particular":[165],"11":[166],"3":[170],"non-clustering-based":[171,230],"ones,":[172,231],"using":[173],"a":[174,253,257],"consistent":[175],"parameterization":[176],"heuristic":[177],"identify":[179],"pros":[181],"cons":[183],"each":[185],"approach.":[186],"46":[189],"real":[190],"synthetic":[192],"datasets":[193],"with":[194,206,225],"up":[195],"125k":[197],"points":[198],"1.5k":[200],"dimensions":[201],"aiming":[202],"achieve":[204],"plausibility":[205],"broadest":[208],"possible":[209],"diversity":[210],"real-world":[212],"use":[213],"cases.":[214],"results":[216],"indicate":[217],"are":[222],"par":[224],"(if":[226],"surpass)":[228],"we":[233],"argue":[234],"like":[238],"KMeans\u2212\u2212":[239],"should":[240],"be":[241],"included":[242],"baselines":[244],"future":[246],"benchmarking":[247],"studies,":[248],"often":[251],"competitive":[254],"relatively":[258],"low":[259],"run":[260],"time,":[261],"besides":[262],"other":[264],"benefits.":[265]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":14}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
