{"id":"https://openalex.org/W4381744916","doi":"https://doi.org/10.1109/noms56928.2023.10154333","title":"Quality In / Quality Out: Data quality more relevant than model choice in anomaly detection with the UGR\u201916","display_name":"Quality In / Quality Out: Data quality more relevant than model choice in anomaly detection with the UGR\u201916","publication_year":2023,"publication_date":"2023-05-08","ids":{"openalex":"https://openalex.org/W4381744916","doi":"https://doi.org/10.1109/noms56928.2023.10154333"},"language":"en","primary_location":{"id":"doi:10.1109/noms56928.2023.10154333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms56928.2023.10154333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://digibug.ugr.es/bitstream/10481/81203/3/0.Main.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022501133","display_name":"Jos\u00e9 Camacho","orcid":"https://orcid.org/0000-0001-9804-8122"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Camacho","raw_affiliation_strings":["University of Granada,Dept. Signal Theory, Networking and Communication,Granada,Spain","Dept. Signal Theory, Networking and Communication, University of Granada, Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Granada,Dept. Signal Theory, Networking and Communication,Granada,Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Dept. Signal Theory, Networking and Communication, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014979203","display_name":"Katarzyna Wasielewska","orcid":"https://orcid.org/0000-0001-8087-790X"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Katarzyna Wasielewska","raw_affiliation_strings":["University of Granada,Dept. Signal Theory, Networking and Communication,Granada,Spain","Dept. Signal Theory, Networking and Communication, University of Granada, Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Granada,Dept. Signal Theory, Networking and Communication,Granada,Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Dept. Signal Theory, Networking and Communication, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024906101","display_name":"Pablo Espinosa","orcid":"https://orcid.org/0000-0003-3661-7566"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pablo Espinosa","raw_affiliation_strings":["University of Granada,Dept. Signal Theory, Networking and Communication,Granada,Spain","Dept. Signal Theory, Networking and Communication, University of Granada, Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Granada,Dept. Signal Theory, Networking and Communication,Granada,Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Dept. Signal Theory, Networking and Communication, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047318060","display_name":"Marta Fuentes\u2010Garc\u00eda","orcid":"https://orcid.org/0000-0002-7428-1277"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Marta Fuentes-Garc\u00eda","raw_affiliation_strings":["COSCYBER FIDESOL,Granada,Spain","COSCYBER FIDESOL, Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"COSCYBER FIDESOL,Granada,Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"COSCYBER FIDESOL, Granada, Spain","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3053,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83985084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9977999925613403,"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":0.9977999925613403,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11719","display_name":"Data Quality and Management","score":0.9646000266075134,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.744682252407074},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7172262072563171},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6995068192481995},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5781116485595703},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5575046539306641},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5537781715393066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5475125312805176},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5425934791564941},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5362692475318909},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5055696964263916},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.490896999835968},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.479810506105423},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4288385212421417},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08298349380493164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.744682252407074},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7172262072563171},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6995068192481995},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5781116485595703},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5575046539306641},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5537781715393066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5475125312805176},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5425934791564941},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5362692475318909},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5055696964263916},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.490896999835968},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.479810506105423},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4288385212421417},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08298349380493164},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/noms56928.2023.10154333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms56928.2023.10154333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:digibug.ugr.es:10481/81203","is_oa":true,"landing_page_url":"https://hdl.handle.net/10481/81203","pdf_url":"https://digibug.ugr.es/bitstream/10481/81203/3/0.Main.pdf","source":{"id":"https://openalex.org/S4306400567","display_name":"Institutional Repository of the University of Granada (University of Granada)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173304897","host_organization_name":"Universidad de Granada","host_organization_lineage":["https://openalex.org/I173304897"],"host_organization_lineage_names":[],"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,"raw_source_name":null,"raw_type":"SMUR"}],"best_oa_location":{"id":"pmh:oai:digibug.ugr.es:10481/81203","is_oa":true,"landing_page_url":"https://hdl.handle.net/10481/81203","pdf_url":"https://digibug.ugr.es/bitstream/10481/81203/3/0.Main.pdf","source":{"id":"https://openalex.org/S4306400567","display_name":"Institutional Repository of the University of Granada (University of Granada)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173304897","host_organization_name":"Universidad de Granada","host_organization_lineage":["https://openalex.org/I173304897"],"host_organization_lineage_names":[],"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,"raw_source_name":null,"raw_type":"SMUR"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4381744916.pdf","grobid_xml":"https://content.openalex.org/works/W4381744916.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"Autonomous":[0],"or":[1,137],"self-driving":[2],"networks":[3],"are":[4],"expected":[5],"to":[6,10,61,142,160],"provide":[7],"a":[8,73,77,108,123,148,158,162],"solution":[9],"the":[11,25,29,47,92,101,117],"myriad":[12],"of":[13,31,110,121,125,129,135,151],"extremely":[14],"demanding":[15],"new":[16,32],"applications":[17],"with":[18],"minimal":[19],"human":[20],"supervision.":[21],"For":[22],"this":[23,64,170],"purpose,":[24],"community":[26],"relies":[27],"on":[28,72,88],"development":[30],"Machine":[33],"Learning":[34],"(ML)":[35],"models":[36,126],"and":[37,53,154],"techniques.":[38],"However,":[39],"ML":[40,94],"can":[41,166],"only":[42],"be":[43,167],"as":[44,46,107],"good":[45],"data":[48,54],"it":[49],"is":[50,56,105],"fitted":[51],"with,":[52],"quality":[55],"an":[57],"elusive":[58],"concept":[59],"difficult":[60],"assess.":[62],"In":[63],"paper,":[65],"we":[66],"show":[67,99],"that":[68,100,116,165],"relatively":[69],"minor":[70],"modifications":[71],"benchmark":[74],"dataset":[75,80,152],"(UGR\u201916,":[76],"flow-based":[78],"real-traffic":[79],"for":[81,169],"anomaly":[82],"detection)":[83],"cause":[84],"significantly":[85],"more":[86],"impact":[87],"model":[89,103,163],"performance":[90,104,130],"than":[91],"specific":[93],"technique":[95],"considered.":[96],"We":[97,156],"also":[98],"measured":[102],"uncertain,":[106],"result":[109],"labelling":[111],"inaccuracies.":[112],"Our":[113],"findings":[114],"illustrate":[115],"widely":[118],"adopted":[119],"approach":[120],"comparing":[122],"set":[124],"in":[127,133],"terms":[128,134],"results":[131],"(e.g.,":[132],"accuracy":[136],"ROC":[138],"curves)":[139],"may":[140],"lead":[141],"incorrect":[143],"conclusions":[144],"when":[145],"done":[146],"without":[147],"proper":[149],"understanding":[150],"biases":[153],"sensitivity.":[155],"contribute":[157],"methodology":[159],"interpret":[161],"response":[164],"useful":[168],"understanding.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2023-06-24T00:00:00"}
