{"id":"https://openalex.org/W2093726264","doi":"https://doi.org/10.1109/isi.2013.6578773","title":"Occupational fraud detection through visualization","display_name":"Occupational fraud detection through visualization","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2093726264","doi":"https://doi.org/10.1109/isi.2013.6578773","mag":"2093726264"},"language":"en","primary_location":{"id":"doi:10.1109/isi.2013.6578773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi.2013.6578773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Intelligence and Security Informatics","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/A5090680620","display_name":"Evmorfia N. Argyriou","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Evmorfia N. Argyriou","raw_affiliation_strings":["School of Applied Mathematical & Physical Sciences, National Technical University of Athens, Greece","Sch. of Appl. Math. & Phys. Sci., Nat. Tech. Univ. of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"School of Applied Mathematical & Physical Sciences, National Technical University of Athens, Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"Sch. of Appl. Math. & Phys. Sci., Nat. Tech. Univ. of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059304673","display_name":"Katerina Sotiraki","orcid":"https://orcid.org/0009-0002-5372-4849"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Aikaterini A. Sotiraki","raw_affiliation_strings":["School of Applied Mathematical & Physical Sciences, National Technical University of Athens, Greece","Sch. of Appl. Math. & Phys. Sci., Nat. Tech. Univ. of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"School of Applied Mathematical & Physical Sciences, National Technical University of Athens, Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"Sch. of Appl. Math. & Phys. Sci., Nat. Tech. Univ. of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011976306","display_name":"Antonios Symvonis","orcid":"https://orcid.org/0000-0002-0280-741X"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Antonios Symvonis","raw_affiliation_strings":["School of Applied Mathematical & Physical Sciences, National Technical University of Athens, Greece","Sch. of Appl. Math. & Phys. Sci., Nat. Tech. Univ. of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"School of Applied Mathematical & Physical Sciences, National Technical University of Athens, Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"Sch. of Appl. Math. & Phys. Sci., Nat. Tech. Univ. of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090680620"],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":null,"apc_paid":null,"fwci":1.6329,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86466483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"4","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9947999715805054,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/visualization","display_name":"Visualization","score":0.8168666362762451},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7313479781150818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.693472146987915},{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.6026136875152588},{"id":"https://openalex.org/keywords/liability","display_name":"Liability","score":0.4573360085487366},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4482656419277191},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4153624176979065},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3218734860420227},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24230453372001648},{"id":"https://openalex.org/keywords/accounting","display_name":"Accounting","score":0.19412332773208618},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.19275575876235962}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.8168666362762451},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7313479781150818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.693472146987915},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.6026136875152588},{"id":"https://openalex.org/C2777834853","wikidata":"https://www.wikidata.org/wiki/Q96776939","display_name":"Liability","level":2,"score":0.4573360085487366},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4482656419277191},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4153624176979065},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3218734860420227},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24230453372001648},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.19412332773208618},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.19275575876235962}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isi.2013.6578773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi.2013.6578773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Intelligence and Security Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8299999833106995,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"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":36,"referenced_works":["https://openalex.org/W37623143","https://openalex.org/W1539350710","https://openalex.org/W1597650360","https://openalex.org/W1602011302","https://openalex.org/W1636210188","https://openalex.org/W1963822838","https://openalex.org/W1967476065","https://openalex.org/W1976188498","https://openalex.org/W1984072195","https://openalex.org/W2008200360","https://openalex.org/W2012844745","https://openalex.org/W2017232808","https://openalex.org/W2034562813","https://openalex.org/W2068426846","https://openalex.org/W2093726264","https://openalex.org/W2097236039","https://openalex.org/W2097257601","https://openalex.org/W2107060758","https://openalex.org/W2121869993","https://openalex.org/W2132651096","https://openalex.org/W2135689168","https://openalex.org/W2145409412","https://openalex.org/W2146825019","https://openalex.org/W2158984754","https://openalex.org/W2159811067","https://openalex.org/W2165662062","https://openalex.org/W2169700383","https://openalex.org/W2399982555","https://openalex.org/W2795267373","https://openalex.org/W4247957653","https://openalex.org/W6609936764","https://openalex.org/W6635638952","https://openalex.org/W6679883346","https://openalex.org/W6681808334","https://openalex.org/W6712872291","https://openalex.org/W6929467385"],"related_works":["https://openalex.org/W4225274103","https://openalex.org/W2013728941","https://openalex.org/W2154046714","https://openalex.org/W2579659702","https://openalex.org/W2189613078","https://openalex.org/W1574055964","https://openalex.org/W2923661510","https://openalex.org/W3003759491","https://openalex.org/W2542318691","https://openalex.org/W2547096368"],"abstract_inverted_index":{"Occupational":[0],"fraud":[1,20,67,141],"affects":[2],"many":[3],"companies":[4],"causing":[5],"them":[6],"economic":[7],"loss":[8],"and":[9,15,58,79,125],"liability":[10],"issues":[11],"towards":[12],"their":[13,96,130],"clients":[14],"other":[16],"entities.":[17],"Detecting":[18],"internal":[19],"requires":[21],"significant":[22],"effort":[23],"since":[24],"a":[25,60,72,80,86,126],"huge":[26],"amount":[27],"of":[28,55,74,122,129,140],"data":[29],"produced":[30],"by":[31],"diverse":[32],"systems":[33,69],"(which":[34],"are":[35,92,100],"mostly":[36],"in":[37,68],"textual":[38],"form)":[39],"has":[40],"to":[41,64,95,119],"be":[42],"processed":[43],"with":[44,137,148],"little":[45],"automated":[46],"support.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51],"exploit":[52],"the":[53,90,106,120,123,153],"advantages":[54],"information":[56],"visualization":[57,84],"present":[59],"system":[61,114,145],"that":[62,135,151],"aims":[63],"detect":[65],"occupational":[66],"which":[70,89,103],"involve":[71],"pair":[73],"entities":[75,117],"(e.g.,":[76],"an":[77],"employee":[78],"client).":[81],"The":[82,113,144],"main":[83],"is":[85,132,146],"spiral":[87],"on":[88,110],"events":[91,99,136],"drawn":[93],"according":[94,118],"time-stamp.":[97],"Suspicious":[98],"considered":[101],"those":[102],"appear":[104,142],"along":[105],"same":[107],"radius":[108],"or":[109],"close":[111],"radii.":[112],"ranks":[115],"both":[116],"specifications":[121],"auditor":[124],"video":[127],"file":[128],"activity":[131],"generated":[133],"such":[134],"strong":[138],"evidence":[139],"first.":[143],"equipped":[147],"several":[149],"visualizations":[150],"facilitate":[152],"detection":[154],"procedure.":[155]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}