{"id":"https://openalex.org/W2982743791","doi":"https://doi.org/10.1111/exsy.12473","title":"A method for outlier detection based on cluster analysis and visual expert criteria","display_name":"A method for outlier detection based on cluster analysis and visual expert criteria","publication_year":2019,"publication_date":"2019-11-03","ids":{"openalex":"https://openalex.org/W2982743791","doi":"https://doi.org/10.1111/exsy.12473","mag":"2982743791"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1111/exsy.12473","pdf_url":null,"source":{"id":"https://openalex.org/S72232612","display_name":"Expert Systems","issn_l":"0266-4720","issn":["0266-4720","1468-0394"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://oa.upm.es/63970/1/INVE_MEM_2019_322961.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025016857","display_name":"Juan A. Lara","orcid":"https://orcid.org/0000-0001-5131-8447"},"institutions":[],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Juan A. Lara","raw_affiliation_strings":["Department of Computer Science, Madrid Open University, UDIMA, Engineering School, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Madrid Open University, UDIMA, Engineering School, Madrid, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061909873","display_name":"David Lizcano","orcid":"https://orcid.org/0000-0001-7928-5237"},"institutions":[],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Lizcano","raw_affiliation_strings":["Department of Computer Science, Madrid Open University, UDIMA, Engineering School, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Madrid Open University, UDIMA, Engineering School, Madrid, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041964952","display_name":"V\u00edctor Ramp\u00e9rez","orcid":"https://orcid.org/0000-0001-6610-2171"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"funder","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"V\u00edctor Ramp\u00e9rez","raw_affiliation_strings":["ETS de Ingenieros Inform\u00e1ticos Universidad Polit\u00e9cnica de Madrid, Campus de Montegancedo Madrid Spain"],"affiliations":[{"raw_affiliation_string":"ETS de Ingenieros Inform\u00e1ticos Universidad Polit\u00e9cnica de Madrid, Campus de Montegancedo Madrid Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047908403","display_name":"Javier Soriano","orcid":"https://orcid.org/0000-0001-6272-8708"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"funder","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Javier Soriano","raw_affiliation_strings":["ETS de Ingenieros Inform\u00e1ticos Universidad Polit\u00e9cnica de Madrid, Campus de Montegancedo Madrid Spain"],"affiliations":[{"raw_affiliation_string":"ETS de Ingenieros Inform\u00e1ticos Universidad Polit\u00e9cnica de Madrid, Campus de Montegancedo Madrid Spain","institution_ids":["https://openalex.org/I88060688"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5025016857"],"corresponding_institution_ids":[],"apc_list":{"value":3860,"currency":"USD","value_usd":3860},"apc_paid":null,"fwci":1.408,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":17,"citation_normalized_percentile":{"value":0.756262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":91},"biblio":{"volume":"37","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9913,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9426,"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":[],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8894776},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8425923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.82968867},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6083671},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.51710844},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.50167346},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4661034},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4451797},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43914947},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3503511},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09627038},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08644265},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1111/exsy.12473","pdf_url":null,"source":{"id":"https://openalex.org/S72232612","display_name":"Expert Systems","issn_l":"0266-4720","issn":["0266-4720","1468-0394"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://oa.upm.es/63970/","pdf_url":"https://oa.upm.es/63970/1/INVE_MEM_2019_322961.pdf","source":{"id":"https://openalex.org/S4306402421","display_name":"Archivo Digital UPM (Universidad Polit\u00e9cnica de Madrid)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I88060688","host_organization_name":"Universidad Polit\u00e9cnica de Madrid","host_organization_lineage":["https://openalex.org/I88060688"],"host_organization_lineage_names":["Universidad Polit\u00e9cnica de Madrid"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"acceptedVersion","is_accepted":true,"is_published":false},{"is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.12226/510","pdf_url":"https://udimundus.udima.es/bitstream/20.500.12226/510/4/A%20method%20for%20outlier%281%29.pdf","source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":["LA Referencia"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://oa.upm.es/63970/","pdf_url":"https://oa.upm.es/63970/1/INVE_MEM_2019_322961.pdf","source":{"id":"https://openalex.org/S4306402421","display_name":"Archivo Digital UPM (Universidad Polit\u00e9cnica de Madrid)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I88060688","host_organization_name":"Universidad Polit\u00e9cnica de Madrid","host_organization_lineage":["https://openalex.org/I88060688"],"host_organization_lineage_names":["Universidad Polit\u00e9cnica de Madrid"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"acceptedVersion","is_accepted":true,"is_published":false},"sustainable_development_goals":[{"score":0.78,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":54,"referenced_works":["https://openalex.org/W1499049447","https://openalex.org/W1502569680","https://openalex.org/W1552339598","https://openalex.org/W1592237688","https://openalex.org/W1594487429","https://openalex.org/W1673310716","https://openalex.org/W1767579234","https://openalex.org/W1936126030","https://openalex.org/W1971023756","https://openalex.org/W1977496278","https://openalex.org/W1994486188","https://openalex.org/W2012252043","https://openalex.org/W2023624872","https://openalex.org/W2027675657","https://openalex.org/W2038040754","https://openalex.org/W2042591571","https://openalex.org/W2053744708","https://openalex.org/W2061122559","https://openalex.org/W2064029323","https://openalex.org/W2078760541","https://openalex.org/W2079614849","https://openalex.org/W2082950078","https://openalex.org/W2096390285","https://openalex.org/W2097874650","https://openalex.org/W2117672932","https://openalex.org/W2120119000","https://openalex.org/W2123601840","https://openalex.org/W2129281431","https://openalex.org/W2137130182","https://openalex.org/W2139037755","https://openalex.org/W2144182447","https://openalex.org/W2145302786","https://openalex.org/W2150451301","https://openalex.org/W2159010948","https://openalex.org/W2160200253","https://openalex.org/W2268263384","https://openalex.org/W2542911717","https://openalex.org/W2612047884","https://openalex.org/W2613480438","https://openalex.org/W2724900445","https://openalex.org/W2760451156","https://openalex.org/W2770269192","https://openalex.org/W2904461762","https://openalex.org/W2906890643","https://openalex.org/W2953037490","https://openalex.org/W3138771162","https://openalex.org/W4205774955","https://openalex.org/W4212848460","https://openalex.org/W4230050736","https://openalex.org/W4234406587","https://openalex.org/W4247342401","https://openalex.org/W4253461361","https://openalex.org/W4292023222","https://openalex.org/W4391196608"],"related_works":["https://openalex.org/W3111802945","https://openalex.org/W3107369729","https://openalex.org/W3006513224","https://openalex.org/W2946096271","https://openalex.org/W2510582230","https://openalex.org/W2499612753","https://openalex.org/W2357409937","https://openalex.org/W2295423552","https://openalex.org/W2046456988","https://openalex.org/W1598471830"],"abstract_inverted_index":{"Abstract":[0],"Outlier":[1],"detection":[2,59,84,100,137,198],"is":[3,75,102,214],"an":[4,57,131],"important":[5],"problem":[6],"occurring":[7],"in":[8,41,72,114,174,201,220],"a":[9,38,63,121,143,167,180,224,233],"wide":[10],"range":[11],"of":[12,18,80,95,123,147,169,203,207,228],"areas.":[13],"Outliers":[14],"are":[15,140],"the":[16,69,78,92,127,191],"outcome":[17],"fraudulent":[19],"behaviour,":[20],"mechanical":[21],"faults,":[22],"human":[23,111,175],"error,":[24],"or":[25],"simply":[26],"natural":[27],"deviations.":[28],"Many":[29],"data":[30,158,219],"mining":[31],"applications":[32],"perform":[33],"outlier":[34,58,83,99,136,197,218],"detection,":[35],"often":[36],"as":[37],"preliminary":[39],"step":[40],"order":[42],"to":[43,76,88,108,184],"filter":[44],"out":[45],"outliers":[46,119],"and":[47,177,199,232],"build":[48],"more":[49],"representative":[50],"models.":[51],"In":[52],"this":[53,73],"paper,":[54],"we":[55,194],"propose":[56],"method":[60,101,196],"based":[61,103],"on":[62,104,142,157],"clustering":[64],"process.":[65],"The":[66,98,205],"aim":[67],"behind":[68],"proposal":[70,150,213],"outlined":[71],"paper":[74],"overcome":[77],"specificity":[79],"many":[81],"existing":[82],"techniques":[85,138],"that":[86,139,211],"fail":[87],"take":[89],"into":[90],"account":[91],"inherent":[93],"dispersion":[94],"domain":[96],"objects.":[97],"four":[105],"criteria":[106],"designed":[107],"represent":[109],"how":[110],"beings":[112,176],"(experts":[113],"each":[115],"domain)":[116],"visually":[117],"identify":[118],"within":[120],"set":[122],"objects":[124],"after":[125],"analysing":[126],"clusters.":[128,148],"This":[129],"has":[130,151],"advantage":[132],"over":[133],"other":[134],"clustering\u2010based":[135],"founded":[141],"purely":[144],"numerical":[145],"analysis":[146],"Our":[149],"been":[152],"evaluated,":[153],"with":[154,223],"satisfactory":[155],"results,":[156],"(particularly":[159],"time":[160],"series)":[161],"from":[162],"two":[163],"different":[164,221],"domains:":[165],"stabilometry,":[166],"branch":[168],"medicine":[170],"studying":[171],"balance\u2010related":[172],"functions":[173],"electroencephalography":[178],"(EEG),":[179],"neurological":[181],"exploration":[182],"used":[183],"diagnose":[185],"nervous":[186],"system":[187],"disorders.":[188],"To":[189],"validate":[190],"proposed":[192],"method,":[193],"studied":[195],"efficiency":[200],"terms":[202],"runtime.":[204],"results":[206],"regression":[208],"analyses":[209],"confirm":[210],"our":[212],"useful":[215],"for":[216],"detecting":[217],"domains,":[222],"false":[225],"positive":[226],"rate":[227],"less":[229],"than":[230,236],"2%":[231],"reliability":[234],"greater":[235],"99%.":[237]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2982743791","counts_by_year":[{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2025-02-18T08:05:05.216373","created_date":"2019-11-22"}