{"id":"https://openalex.org/W4387870305","doi":"https://doi.org/10.1109/mlsp55844.2023.10285998","title":"Online Computation of Reduced Egonet Features for Anomaly Detection in Bank Transactions Graphs","display_name":"Online Computation of Reduced Egonet Features for Anomaly Detection in Bank Transactions Graphs","publication_year":2023,"publication_date":"2023-09-17","ids":{"openalex":"https://openalex.org/W4387870305","doi":"https://doi.org/10.1109/mlsp55844.2023.10285998"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp55844.2023.10285998","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mlsp55844.2023.10285998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)","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/A5093111471","display_name":"Cristian-Enache Zica","orcid":null},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Cristian-Enache Zica","raw_affiliation_strings":["University Politehnica of Bucharest,Department of Automatic Control and Computers 313 Spl. Independen&#x0163;ei,Bucharest,Romania,060042"],"affiliations":[{"raw_affiliation_string":"University Politehnica of Bucharest,Department of Automatic Control and Computers 313 Spl. Independen&#x0163;ei,Bucharest,Romania,060042","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023994037","display_name":"Bogdan Dumitrescu","orcid":"https://orcid.org/0000-0003-4555-1714"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Bogdan Dumitrescu","raw_affiliation_strings":["University Politehnica of Bucharest,Department of Automatic Control and Computers 313 Spl. Independen&#x0163;ei,Bucharest,Romania,060042"],"affiliations":[{"raw_affiliation_string":"University Politehnica of Bucharest,Department of Automatic Control and Computers 313 Spl. Independen&#x0163;ei,Bucharest,Romania,060042","institution_ids":["https://openalex.org/I61641377"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5093111471"],"corresponding_institution_ids":["https://openalex.org/I61641377"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13565189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9973999857902527,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.993399977684021,"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/computer-science","display_name":"Computer science","score":0.7464562058448792},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6996806263923645},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5383136868476868},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4937985837459564},{"id":"https://openalex.org/keywords/online-algorithm","display_name":"Online algorithm","score":0.4838527739048004},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4713922142982483},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.4537698030471802},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4310833811759949},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.41039878129959106},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.31098365783691406},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3052111566066742},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29575681686401367}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7464562058448792},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6996806263923645},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5383136868476868},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4937985837459564},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.4838527739048004},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4713922142982483},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.4537698030471802},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4310833811759949},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.41039878129959106},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.31098365783691406},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3052111566066742},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29575681686401367},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp55844.2023.10285998","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mlsp55844.2023.10285998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6600000262260437,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1492581097","https://openalex.org/W2089554624","https://openalex.org/W2296719434","https://openalex.org/W2613959248","https://openalex.org/W2616431611","https://openalex.org/W2808771744","https://openalex.org/W2904017320","https://openalex.org/W2907417050","https://openalex.org/W2942770187","https://openalex.org/W2944250323","https://openalex.org/W2962756421","https://openalex.org/W2997619488","https://openalex.org/W2998336824","https://openalex.org/W3206604724","https://openalex.org/W4205471456","https://openalex.org/W4226383825","https://openalex.org/W6738132598","https://openalex.org/W6757312246"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,58],"in":[2,22,59,64,106],"bank":[3,60],"transactions":[4,61],"graphs":[5],"can":[6,27],"be":[7],"an":[8,37,115],"effective":[9,55],"tool":[10],"for":[11,40,56,100],"revealing":[12],"potentially":[13],"fraudulent":[14],"activities.":[15],"Online":[16],"algorithms":[17],"are":[18],"the":[19,85,104,121,124,129],"most":[20],"interesting":[21],"this":[23],"context,":[24],"since":[25],"they":[26],"lead":[28],"to":[29,45,73,112],"early":[30],"analysis":[31],"of":[32,77,80,114,131],"dubious":[33],"transactions.":[34],"We":[35],"propose":[36],"online":[38,70],"algorithm":[39,71,118],"computing":[41],"vertex":[42],"features":[43,51,122],"related":[44],"egonet":[46,86],"and":[47,95,123],"reduced":[48],"egonet.":[49],"Such":[50],"have":[52],"been":[53],"proved":[54],"anomaly":[57,125],"graphs,":[62],"but":[63],"a":[65,88,116],"batch":[66],"approach.":[67],"The":[68],"proposed":[69],"needs":[72],"explore":[74],"only":[75,127],"sets":[76],"common":[78],"neighbors":[79],"two":[81],"vertices,":[82],"without":[83],"isolating":[84],"as":[87],"subgraph.":[89],"Hence,":[90],"it":[91],"is":[92,109],"very":[93],"efficient":[94],"has":[96],"execution":[97],"times":[98],"suited":[99],"practical":[101],"use.":[102],"Also,":[103],"performance":[105],"detecting":[107],"anomalies":[108],"quite":[110],"similar":[111],"that":[113,119],"posteriori":[117],"computes":[120],"scores":[126],"at":[128],"end":[130],"each":[132],"day.":[133]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
