{"id":"https://openalex.org/W4391129747","doi":"https://doi.org/10.1109/iccp60212.2023.10398721","title":"Benchmarking Anomaly Detection Algorithms using Hyperparameter Optimization","display_name":"Benchmarking Anomaly Detection Algorithms using Hyperparameter Optimization","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4391129747","doi":"https://doi.org/10.1109/iccp60212.2023.10398721"},"language":"en","primary_location":{"id":"doi:10.1109/iccp60212.2023.10398721","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccp60212.2023.10398721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5023794253","display_name":"Zoltan Czako","orcid":"https://orcid.org/0000-0001-7497-0251"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Zoltan Czako","raw_affiliation_strings":["Technical University of Cluj-Napoca,Department of Computer Science,Cluj-Napoca,Romania","Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca,Department of Computer Science,Cluj-Napoca,Romania","institution_ids":["https://openalex.org/I158333966"]},{"raw_affiliation_string":"Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015255095","display_name":"Gheorghe Sebestyen","orcid":"https://orcid.org/0000-0002-7773-1077"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Gheorghe Sebestyen","raw_affiliation_strings":["Technical University of Cluj-Napoca,Department of Computer Science,Cluj-Napoca,Romania","Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca,Department of Computer Science,Cluj-Napoca,Romania","institution_ids":["https://openalex.org/I158333966"]},{"raw_affiliation_string":"Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011082798","display_name":"Anca H\u00e2ngan","orcid":"https://orcid.org/0000-0003-4116-694X"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Anca Hangan","raw_affiliation_strings":["Technical University of Cluj-Napoca,Department of Computer Science,Cluj-Napoca,Romania","Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca,Department of Computer Science,Cluj-Napoca,Romania","institution_ids":["https://openalex.org/I158333966"]},{"raw_affiliation_string":"Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158333966"],"apc_list":null,"apc_paid":null,"fwci":0.2092,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49969538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"23","issue":null,"first_page":"71","last_page":"78"},"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":0.9958999752998352,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9951000213623047,"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/benchmarking","display_name":"Benchmarking","score":0.8624811172485352},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.7436051368713379},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7067244052886963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6536953449249268},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44475480914115906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41299134492874146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34978801012039185}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8624811172485352},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7436051368713379},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7067244052886963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6536953449249268},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44475480914115906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41299134492874146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34978801012039185},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp60212.2023.10398721","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccp60212.2023.10398721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338080","display_name":"European Social Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1991357106","https://openalex.org/W2282861635","https://openalex.org/W2337344967","https://openalex.org/W2760451156","https://openalex.org/W3017320328","https://openalex.org/W3120740533","https://openalex.org/W3153838899","https://openalex.org/W3165241807","https://openalex.org/W3165613912","https://openalex.org/W4246413330","https://openalex.org/W4297789735","https://openalex.org/W6726560310","https://openalex.org/W6796017329"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2602382373","https://openalex.org/W3003615511","https://openalex.org/W4285827128","https://openalex.org/W3198113463","https://openalex.org/W2787698406","https://openalex.org/W2963844355","https://openalex.org/W4361251046","https://openalex.org/W98577079"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,15,158,164,227],"is":[2,52,72,118,193],"the":[3,56,62,86,109,116,127,139,151,199,213,218,231,234,237,240],"technique":[4],"of":[5,13,26,49,83,92,108,111,115,175,217,225,233,239],"finding":[6],"out-of-the-ordinary":[7],"occurrences":[8],"inside":[9],"datasets.":[10],"A":[11],"multitude":[12,91],"anomaly":[14,157,163,226],"methods":[16,93],"was":[17],"developed":[18],"for":[19,68,77,202],"this":[20,146],"purpose":[21],"in":[22,195,205],"a":[23,78,90,105,135,172,189,223],"wide":[24,173],"variety":[25],"domains":[27],"(e.g.,":[28],"economy,":[29],"industrial":[30],"processes,":[31],"health,":[32],"environmental":[33],"monitoring,":[34],"etc.),":[35],"using":[36,138],"as":[37],"support":[38],"more":[39],"generic":[40],"artificial":[41],"intelligence":[42],"and":[43,60,126,187,215,221,236],"signal":[44],"processing":[45],"algorithms.":[46,113],"The":[47,98,177],"performance":[48,110],"these":[50,112],"algorithms":[51,128,228],"strongly":[53],"influenced":[54],"by":[55,61],"initial":[57],"dataset":[58],"characteristics":[59,238],"hyperparameter":[63,96,143,190],"settings":[64,201],"that":[65,160],"users":[66],"choose":[67],"each":[69,185,203,206],"algorithm.":[70],"There":[71],"no":[73],"a-priory":[74],"best":[75],"solution":[76],"given":[79],"domain":[80],"or":[81,124,134],"type":[82],"dataset;":[84],"therefore,":[85],"researchers":[87],"must":[88],"test":[89,207],"with":[94],"multiple":[95,182],"settings.":[97],"research":[99],"community":[100],"does":[101],"not":[102],"yet":[103],"have":[104],"multi-perspective":[106],"assessment":[107],"Most":[114],"work":[117],"focused":[119],"on":[120,167,230],"very":[121],"specific":[122],"problems":[123],"domains,":[125],"are":[129,179],"evaluated":[130],"only":[131],"from":[132,154,171,181],"one":[133],"few":[136],"perspectives,":[137],"\u201ddefault\u201d":[140],"settings,":[141],"without":[142],"optimization.":[144],"In":[145],"article,":[147],"we":[148],"will":[149],"discuss":[150],"findings":[152],"obtained":[153],"an":[155],"extensive":[156],"benchmarking":[159],"covers":[161],"34":[162],"algorithms,":[165],"tested":[166],"several":[168],"relevant":[169],"datasets":[170],"area":[174],"domains.":[176],"results":[178],"presented":[180],"perspectives.":[183],"For":[184],"algorithm":[186,204],"dataset,":[188],"optimization":[191],"approach":[192],"used":[194],"order":[196],"to":[197],"establish":[198],"optimal":[200],"case.":[208],"This":[209],"study":[210],"discloses":[211],"both":[212],"merits":[214],"limitations":[216],"various":[219],"techniques":[220],"proposes":[222],"taxonomy":[224],"based":[229],"nature":[232],"problem":[235],"input":[241],"data.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}
