{"id":"https://openalex.org/W4408565731","doi":"https://doi.org/10.1109/icdmw65004.2024.00042","title":"Anomaly Detection in Financial Data Using GA-Optimized MLP Models","display_name":"Anomaly Detection in Financial Data Using GA-Optimized MLP Models","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W4408565731","doi":"https://doi.org/10.1109/icdmw65004.2024.00042"},"language":"en","primary_location":{"id":"doi:10.1109/icdmw65004.2024.00042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw65004.2024.00042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-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/A5093610652","display_name":"Ivan Malashin","orcid":"https://orcid.org/0009-0008-8986-402X"},"institutions":[{"id":"https://openalex.org/I177537411","display_name":"Bauman Moscow State Technical University","ror":"https://ror.org/00pb8h375","country_code":"RU","type":"education","lineage":["https://openalex.org/I177537411"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Ivan Malashin","raw_affiliation_strings":["Bauman Moscow State Technical University,AI Technology Scientific Center,Moscow,Russia"],"affiliations":[{"raw_affiliation_string":"Bauman Moscow State Technical University,AI Technology Scientific Center,Moscow,Russia","institution_ids":["https://openalex.org/I177537411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081253409","display_name":"Igor Masich","orcid":"https://orcid.org/0000-0002-3997-342X"},"institutions":[{"id":"https://openalex.org/I177537411","display_name":"Bauman Moscow State Technical University","ror":"https://ror.org/00pb8h375","country_code":"RU","type":"education","lineage":["https://openalex.org/I177537411"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Igor Masich","raw_affiliation_strings":["Bauman Moscow State Technical University,AI Technology Scientific Center,Moscow,Russia"],"affiliations":[{"raw_affiliation_string":"Bauman Moscow State Technical University,AI Technology Scientific Center,Moscow,Russia","institution_ids":["https://openalex.org/I177537411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032053296","display_name":"\u0410. \u0421. \u0411\u043e\u0440\u043e\u0434\u0443\u043b\u0438\u043d","orcid":"https://orcid.org/0000-0002-9648-2395"},"institutions":[{"id":"https://openalex.org/I177537411","display_name":"Bauman Moscow State Technical University","ror":"https://ror.org/00pb8h375","country_code":"RU","type":"education","lineage":["https://openalex.org/I177537411"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Aleksei Borodulin","raw_affiliation_strings":["Bauman Moscow State Technical University,AI Technology Scientific Center,Moscow,Russia"],"affiliations":[{"raw_affiliation_string":"Bauman Moscow State Technical University,AI Technology Scientific Center,Moscow,Russia","institution_ids":["https://openalex.org/I177537411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112754812","display_name":"Vladimir Bukhtoyarov","orcid":null},"institutions":[{"id":"https://openalex.org/I177537411","display_name":"Bauman Moscow State Technical University","ror":"https://ror.org/00pb8h375","country_code":"RU","type":"education","lineage":["https://openalex.org/I177537411"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir Bukhtoyarov","raw_affiliation_strings":["Bauman Moscow State Technical University,AI Technology Scientific Center,Moscow,Russia"],"affiliations":[{"raw_affiliation_string":"Bauman Moscow State Technical University,AI Technology Scientific Center,Moscow,Russia","institution_ids":["https://openalex.org/I177537411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053346800","display_name":"Vladimir Nelyub","orcid":"https://orcid.org/0000-0003-4263-2367"},"institutions":[{"id":"https://openalex.org/I177537411","display_name":"Bauman Moscow State Technical University","ror":"https://ror.org/00pb8h375","country_code":"RU","type":"education","lineage":["https://openalex.org/I177537411"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir Nelyub","raw_affiliation_strings":["Bauman Moscow State Technical University,AI Technology Scientific Center,Moscow,Russia"],"affiliations":[{"raw_affiliation_string":"Bauman Moscow State Technical University,AI Technology Scientific Center,Moscow,Russia","institution_ids":["https://openalex.org/I177537411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045549119","display_name":"\u0412 \u0421 \u0422\u044b\u043d\u0447\u0435\u043d\u043a\u043e","orcid":"https://orcid.org/0000-0002-3959-2969"},"institutions":[{"id":"https://openalex.org/I177537411","display_name":"Bauman Moscow State Technical University","ror":"https://ror.org/00pb8h375","country_code":"RU","type":"education","lineage":["https://openalex.org/I177537411"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vadim Tynchenko","raw_affiliation_strings":["Bauman Moscow State Technical University,AI Technology Scientific Center,Moscow,Russia"],"affiliations":[{"raw_affiliation_string":"Bauman Moscow State Technical University,AI Technology Scientific Center,Moscow,Russia","institution_ids":["https://openalex.org/I177537411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5093610652"],"corresponding_institution_ids":["https://openalex.org/I177537411"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34579159,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"278","last_page":"285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9373999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9373999834060669,"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/anomaly-detection","display_name":"Anomaly detection","score":0.5800070762634277},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5284592509269714},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5077415704727173},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35109466314315796},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08409044146537781}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5800070762634277},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5284592509269714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5077415704727173},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35109466314315796},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08409044146537781}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdmw65004.2024.00042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw65004.2024.00042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1495775210","https://openalex.org/W1966716734","https://openalex.org/W1969355111","https://openalex.org/W2002454301","https://openalex.org/W2054595133","https://openalex.org/W2065041047","https://openalex.org/W2084512860","https://openalex.org/W2109229895","https://openalex.org/W2113599721","https://openalex.org/W2155632266","https://openalex.org/W2192203593","https://openalex.org/W2573137292","https://openalex.org/W2573169959","https://openalex.org/W2604504584","https://openalex.org/W2790344751","https://openalex.org/W2895891814","https://openalex.org/W2905242309","https://openalex.org/W2920920050","https://openalex.org/W2979619501","https://openalex.org/W3021503072","https://openalex.org/W3039222472","https://openalex.org/W3093562373","https://openalex.org/W3112614053","https://openalex.org/W3117098906","https://openalex.org/W3176529279","https://openalex.org/W4211208325","https://openalex.org/W4223971596","https://openalex.org/W4226078906","https://openalex.org/W4238746485","https://openalex.org/W4254177391","https://openalex.org/W4256049924","https://openalex.org/W4290877309","https://openalex.org/W4296086316","https://openalex.org/W4391095828","https://openalex.org/W4399580603","https://openalex.org/W6604970484","https://openalex.org/W6738348428","https://openalex.org/W6745863872"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4399531511"],"abstract_inverted_index":{"This":[0,75],"study":[1],"explores":[2],"the":[3,55,65,83],"application":[4],"of":[5,54,67,87],"genetic":[6],"algorithm":[7],"(GA)-optimized":[8],"multi-layer":[9],"perceptron":[10],"(MLP)":[11],"models":[12],"for":[13,81],"accurately":[14],"classifying":[15],"binary":[16],"outcomes":[17],"in":[18],"anomaly":[19,68],"detection":[20,69],"within":[21],"financial":[22,88],"datasets,":[23],"which":[24],"are":[25],"prone":[26],"to":[27,40,71],"poor":[28],"target":[29],"feature":[30],"separability.":[31],"By":[32],"leveraging":[33],"GA,":[34],"we":[35],"synthesize":[36],"MLP":[37],"architectures":[38],"tailored":[39],"maximize":[41],"precision":[42,66],"while":[43],"maintaining":[44],"recall":[45],"on":[46],"a":[47,78],"validation":[48],"set":[49],"that":[50,61],"was":[51],"not":[52],"part":[53],"training":[56],"data.":[57],"Experimental":[58],"results":[59],"demonstrate":[60],"GA-driven":[62],"optimization":[63],"improves":[64],"compared":[70],"traditional":[72],"classifiers":[73],"methods.":[74],"approach":[76],"offers":[77],"promising":[79],"framework":[80],"enhancing":[82],"security":[84],"and":[85,94],"reliability":[86],"systems":[89],"against":[90],"sophisticated":[91],"fraudulent":[92],"behaviors":[93],"anomalies.":[95]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
