{"id":"https://openalex.org/W2109067458","doi":"https://doi.org/10.1109/vast.2007.4389009","title":"WireVis: Visualization of Categorical, Time-Varying Data From Financial Transactions","display_name":"WireVis: Visualization of Categorical, Time-Varying Data From Financial Transactions","publication_year":2007,"publication_date":"2007-10-01","ids":{"openalex":"https://openalex.org/W2109067458","doi":"https://doi.org/10.1109/vast.2007.4389009","mag":"2109067458"},"language":"en","primary_location":{"id":"doi:10.1109/vast.2007.4389009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2007.4389009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Symposium on Visual Analytics Science and Technology","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/A5089451178","display_name":"Remco Chang","orcid":"https://orcid.org/0000-0002-6484-6430"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Remco Chang","raw_affiliation_strings":["UNC-Charlotte, USA","UNC at Charlotte, Charlotte"],"affiliations":[{"raw_affiliation_string":"UNC-Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"UNC at Charlotte, Charlotte","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025754478","display_name":"Mohammad Ghoniem","orcid":"https://orcid.org/0000-0001-6745-3651"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Ghoniem","raw_affiliation_strings":["UNC-Charlotte, USA","UNC at Charlotte, Charlotte"],"affiliations":[{"raw_affiliation_string":"UNC-Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"UNC at Charlotte, Charlotte","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081622405","display_name":"Robert Kosara","orcid":"https://orcid.org/0000-0002-1178-4029"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Kosara","raw_affiliation_strings":["UNC-Charlotte, USA","UNC at Charlotte, Charlotte"],"affiliations":[{"raw_affiliation_string":"UNC-Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"UNC at Charlotte, Charlotte","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110208682","display_name":"William Ribarsky","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Ribarsky","raw_affiliation_strings":["UNC-Charlotte, USA","UNC at Charlotte, Charlotte"],"affiliations":[{"raw_affiliation_string":"UNC-Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"UNC at Charlotte, Charlotte","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032694211","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0001-9218-6954"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Yang","raw_affiliation_strings":["UNC-Charlotte, USA","UNC at Charlotte, Charlotte"],"affiliations":[{"raw_affiliation_string":"UNC-Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"UNC at Charlotte, Charlotte","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113532305","display_name":"Evan A. Suma","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evan Suma","raw_affiliation_strings":["UNC-Charlotte, USA","UNC at Charlotte, Charlotte"],"affiliations":[{"raw_affiliation_string":"UNC-Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"UNC at Charlotte, Charlotte","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050064511","display_name":"Caroline Ziemkiewicz","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Caroline Ziemkiewicz","raw_affiliation_strings":["UNC-Charlotte, USA","UNC at Charlotte, Charlotte"],"affiliations":[{"raw_affiliation_string":"UNC-Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"UNC at Charlotte, Charlotte","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085716366","display_name":"Daniel Kern","orcid":null},"institutions":[{"id":"https://openalex.org/I100621029","display_name":"Bank of America","ror":"https://ror.org/006tvg625","country_code":"US","type":"other","lineage":["https://openalex.org/I100621029"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Kern","raw_affiliation_strings":["Bank of America, USA","Bank of America. e-mail: daniel.c.kern@bankofamerica.com"],"affiliations":[{"raw_affiliation_string":"Bank of America, USA","institution_ids":["https://openalex.org/I100621029"]},{"raw_affiliation_string":"Bank of America. e-mail: daniel.c.kern@bankofamerica.com","institution_ids":["https://openalex.org/I100621029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001331464","display_name":"Agus Sudjianto","orcid":"https://orcid.org/0000-0003-0846-9746"},"institutions":[{"id":"https://openalex.org/I100621029","display_name":"Bank of America","ror":"https://ror.org/006tvg625","country_code":"US","type":"other","lineage":["https://openalex.org/I100621029"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Agus Sudjianto","raw_affiliation_strings":["Bank of America, USA","Bank of America. e-mail: agus.sudjianto@bankofamerica.com"],"affiliations":[{"raw_affiliation_string":"Bank of America, USA","institution_ids":["https://openalex.org/I100621029"]},{"raw_affiliation_string":"Bank of America. e-mail: agus.sudjianto@bankofamerica.com","institution_ids":["https://openalex.org/I100621029"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5089451178"],"corresponding_institution_ids":["https://openalex.org/I102149020"],"apc_list":null,"apc_paid":null,"fwci":7.233,"has_fulltext":false,"cited_by_count":138,"citation_normalized_percentile":{"value":0.97339011,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"155","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9961000084877014,"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":0.9961000084877014,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9628999829292297,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9557999968528748,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.7861679792404175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7061359882354736},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6696867942810059},{"id":"https://openalex.org/keywords/financial-transaction","display_name":"Financial transaction","score":0.6572983264923096},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6447789669036865},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6114218235015869},{"id":"https://openalex.org/keywords/money-laundering","display_name":"Money laundering","score":0.549778938293457},{"id":"https://openalex.org/keywords/financial-fraud","display_name":"Financial fraud","score":0.4937475621700287},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4243738055229187},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.3635498285293579},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36174166202545166},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.34793880581855774},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3412792980670929},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.31549394130706787},{"id":"https://openalex.org/keywords/accounting","display_name":"Accounting","score":0.27572375535964966},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08809369802474976}],"concepts":[{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.7861679792404175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7061359882354736},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6696867942810059},{"id":"https://openalex.org/C164516710","wikidata":"https://www.wikidata.org/wiki/Q1166072","display_name":"Financial transaction","level":3,"score":0.6572983264923096},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6447789669036865},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6114218235015869},{"id":"https://openalex.org/C2780005421","wikidata":"https://www.wikidata.org/wiki/Q151900","display_name":"Money laundering","level":2,"score":0.549778938293457},{"id":"https://openalex.org/C2985140798","wikidata":"https://www.wikidata.org/wiki/Q28813","display_name":"Financial fraud","level":2,"score":0.4937475621700287},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4243738055229187},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.3635498285293579},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36174166202545166},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.34793880581855774},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3412792980670929},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.31549394130706787},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.27572375535964966},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08809369802474976},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vast.2007.4389009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2007.4389009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Symposium on Visual Analytics Science and Technology","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.167.6321","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.167.6321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://kosara.net/papers/2007/Chang_VAST_2007.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306110","display_name":"U.S. Department of Homeland Security","ror":"https://ror.org/00jyr0d86"},{"id":"https://openalex.org/F4320332359","display_name":"Office of Science","ror":"https://ror.org/00mmn6b08"},{"id":"https://openalex.org/F4320338354","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1506051703","https://openalex.org/W1570191743","https://openalex.org/W1977343739","https://openalex.org/W2050427657","https://openalex.org/W2062937620","https://openalex.org/W2071050333","https://openalex.org/W2071194258","https://openalex.org/W2095442435","https://openalex.org/W2098136364","https://openalex.org/W2106281550","https://openalex.org/W2106738877","https://openalex.org/W2111263072","https://openalex.org/W2111736285","https://openalex.org/W2128712108","https://openalex.org/W2138447434","https://openalex.org/W2141018272","https://openalex.org/W2149874318","https://openalex.org/W2152755317","https://openalex.org/W2157316473","https://openalex.org/W2158169170","https://openalex.org/W2479794143","https://openalex.org/W3022858172","https://openalex.org/W3023187719","https://openalex.org/W4235948177","https://openalex.org/W4242777928","https://openalex.org/W4251304284","https://openalex.org/W6674608776"],"related_works":["https://openalex.org/W3146489226","https://openalex.org/W2550662705","https://openalex.org/W135644120","https://openalex.org/W2268172546","https://openalex.org/W2152118558","https://openalex.org/W4383683699","https://openalex.org/W4393931553","https://openalex.org/W2611827299","https://openalex.org/W1967476065","https://openalex.org/W2109067458"],"abstract_inverted_index":{"Large":[0],"financial":[1,27],"institutions":[2,23],"such":[3],"as":[4],"Bank":[5,111],"of":[6,10,12,38,62,112],"America":[7],"handle":[8],"hundreds":[9],"thousands":[11],"wire":[13,72],"transactions":[14,19,127],"per":[15],"day.":[16],"Although":[17],"most":[18],"are":[20,33,121],"legitimate,":[21],"these":[22],"have":[24],"legal":[25],"and":[26,85,126],"obligations":[28],"in":[29,50,78],"discovering":[30],"those":[31],"that":[32,98,116,128],"suspicious.":[34],"With":[35],"the":[36,71,106],"methods":[37],"fraudulent":[39],"activities":[40],"ever":[41],"changing,":[42],"searching":[43],"on":[44,66],"predefined":[45],"patterns":[46],"is":[47],"often":[48],"insufficient":[49],"detecting":[51],"previously":[52],"undiscovered":[53],"methods.":[54],"In":[55,103],"this":[56],"paper,":[57],"we":[58,90,114],"present":[59],"a":[60,92],"set":[61],"coordinated":[63],"visualizations":[64],"based":[65],"identifying":[67],"specific":[68],"keywords":[69,84],"within":[70],"transactions.":[73],"The":[74],"different":[75],"views":[76],"used":[77],"our":[79,118],"system":[80],"depict":[81],"relationships":[82],"among":[83],"accounts":[86,97,125],"over":[87],"time.":[88],"Furthermore,":[89],"introduce":[91],"search-by-example":[93],"technique":[94],"which":[95],"extracts":[96],"show":[99],"similar":[100],"transaction":[101],"patterns.":[102],"collaboration":[104],"with":[105],"Anti-Money":[107],"Laundering":[108],"division":[109],"at":[110],"America,":[113],"demonstrate":[115],"using":[117],"tool,":[119],"investigators":[120],"able":[122],"to":[123],"detect":[124],"exhibit":[129],"suspicious":[130],"behaviors.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":9}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}