{"id":"https://openalex.org/W4399626173","doi":"https://doi.org/10.3390/info15060351","title":"Leveraging Machine Learning to Analyze Semantic User Interactions in Visual Analytics","display_name":"Leveraging Machine Learning to Analyze Semantic User Interactions in Visual Analytics","publication_year":2024,"publication_date":"2024-06-13","ids":{"openalex":"https://openalex.org/W4399626173","doi":"https://doi.org/10.3390/info15060351"},"language":"en","primary_location":{"id":"doi:10.3390/info15060351","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info15060351","pdf_url":"https://www.mdpi.com/2078-2489/15/6/351/pdf?version=1718272931","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/15/6/351/pdf?version=1718272931","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075876111","display_name":"Dong Hyun Jeong","orcid":"https://orcid.org/0000-0001-5271-293X"},"institutions":[{"id":"https://openalex.org/I174612323","display_name":"University of the District of Columbia","ror":"https://ror.org/037wegn60","country_code":"US","type":"education","lineage":["https://openalex.org/I174612323"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dong Hyun Jeong","raw_affiliation_strings":["Department of Computer Science and Information Technology, University of the District of Columbia, Washington, DC 20759, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, University of the District of Columbia, Washington, DC 20759, USA","institution_ids":["https://openalex.org/I174612323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072741922","display_name":"Bong Keun Jeong","orcid":"https://orcid.org/0000-0001-7174-6625"},"institutions":[{"id":"https://openalex.org/I208081647","display_name":"Coastal Carolina University","ror":"https://ror.org/01621q256","country_code":"US","type":"education","lineage":["https://openalex.org/I208081647"]},{"id":"https://openalex.org/I4210133369","display_name":"Decision Sciences (United States)","ror":"https://ror.org/03gcvf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133369"]},{"id":"https://openalex.org/I4210152127","display_name":"Conway School of Landscape Design","ror":"https://ror.org/04q7y8a54","country_code":"US","type":"education","lineage":["https://openalex.org/I4210152127"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bong Keun Jeong","raw_affiliation_strings":["Department of Management and Decision Sciences, Coastal Carolina University, Conway, SC 29528, USA"],"affiliations":[{"raw_affiliation_string":"Department of Management and Decision Sciences, Coastal Carolina University, Conway, SC 29528, USA","institution_ids":["https://openalex.org/I208081647","https://openalex.org/I4210152127","https://openalex.org/I4210133369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064772845","display_name":"Soo-Yeon Ji","orcid":"https://orcid.org/0000-0003-2677-2773"},"institutions":[{"id":"https://openalex.org/I324100","display_name":"Bowie State University","ror":"https://ror.org/0567w8j84","country_code":"US","type":"education","lineage":["https://openalex.org/I324100"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Soo Yeon Ji","raw_affiliation_strings":["Department of Computer Science, Bowie State University, Bowie, MD 20715, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Bowie State University, Bowie, MD 20715, USA","institution_ids":["https://openalex.org/I324100"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064772845","https://openalex.org/A5075876111"],"corresponding_institution_ids":["https://openalex.org/I174612323","https://openalex.org/I324100"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.49,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62150383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"15","issue":"6","first_page":"351","last_page":"351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9994000196456909,"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":0.9994000196456909,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9517999887466431,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9283000230789185,"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":0.8245136737823486},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.7987806797027588},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7548948526382446},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.6138461828231812},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.5822210311889648},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5675064325332642},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.554801881313324},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.46583786606788635},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.4304954707622528},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4295436441898346},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42645126581192017},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33930665254592896},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11137497425079346}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8245136737823486},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.7987806797027588},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7548948526382446},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.6138461828231812},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.5822210311889648},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5675064325332642},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.554801881313324},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.46583786606788635},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.4304954707622528},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4295436441898346},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42645126581192017},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33930665254592896},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11137497425079346},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/info15060351","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info15060351","pdf_url":"https://www.mdpi.com/2078-2489/15/6/351/pdf?version=1718272931","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:38b4c7c94db44f4a905d468b76fec190","is_oa":true,"landing_page_url":"https://doaj.org/article/38b4c7c94db44f4a905d468b76fec190","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 15, Iss 6, p 351 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/info15060351","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info15060351","pdf_url":"https://www.mdpi.com/2078-2489/15/6/351/pdf?version=1718272931","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G7483120955","display_name":null,"funder_award_id":"W911NF-23-1-0217","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399626173.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W571200655","https://openalex.org/W1563088657","https://openalex.org/W1819003847","https://openalex.org/W1993503217","https://openalex.org/W2013729144","https://openalex.org/W2020369652","https://openalex.org/W2025394193","https://openalex.org/W2033897810","https://openalex.org/W2051088039","https://openalex.org/W2069517099","https://openalex.org/W2082471240","https://openalex.org/W2099085383","https://openalex.org/W2101664201","https://openalex.org/W2103849884","https://openalex.org/W2109067458","https://openalex.org/W2110771015","https://openalex.org/W2148143831","https://openalex.org/W2148504035","https://openalex.org/W2299670543","https://openalex.org/W2312346956","https://openalex.org/W2586172618","https://openalex.org/W2726539084","https://openalex.org/W2787894218","https://openalex.org/W2793633690","https://openalex.org/W2796210736","https://openalex.org/W2959136619","https://openalex.org/W2969322340","https://openalex.org/W3033300303","https://openalex.org/W3035461111","https://openalex.org/W3119608305","https://openalex.org/W3165133123","https://openalex.org/W3187134381","https://openalex.org/W4213009331","https://openalex.org/W4226418765","https://openalex.org/W4245060690","https://openalex.org/W4282975957","https://openalex.org/W4318829833","https://openalex.org/W4320854797","https://openalex.org/W6682141768","https://openalex.org/W6750068885","https://openalex.org/W6906767225"],"related_works":["https://openalex.org/W2067923524","https://openalex.org/W1873226627","https://openalex.org/W3004497735","https://openalex.org/W3213842882","https://openalex.org/W602080368","https://openalex.org/W2013698423","https://openalex.org/W4281490671","https://openalex.org/W2037133710","https://openalex.org/W3038702180","https://openalex.org/W3152181619"],"abstract_inverted_index":{"In":[0],"the":[1,13,52,105,136,149,167,178,186,192,201,205],"field":[2],"of":[3,15,138,171,207],"visualization,":[4],"understanding":[5,120,142,206],"users\u2019":[6,42,121,143,208],"analytical":[7,101,122,144,209],"reasoning":[8,32,43,145],"is":[9,174,189,198],"important":[10],"for":[11,86,194,216],"evaluating":[12,87,217],"effectiveness":[14,137],"visualization":[16,106,221],"applications.":[17,80],"Several":[18],"studies":[19],"have":[20,36],"been":[21],"conducted":[22],"to":[23,29,41,107,134,154,176],"capture":[24],"and":[25,69,100,161,211],"analyze":[26],"user":[27,57,98,152,180,218],"interactions":[28,40,58,99,153,219],"comprehend":[30],"this":[31],"process.":[33],"However,":[34],"few":[35],"successfully":[37],"linked":[38],"these":[39],"processes.":[44,127],"This":[45],"paper":[46],"introduces":[47],"an":[48,63,169],"approach":[49,140,203],"that":[50],"addresses":[51],"limitation":[53],"by":[54,147],"correlating":[55],"semantic":[56,151,179],"with":[59],"analysis":[60,67,85],"decisions":[61,102,156,197,210],"using":[62],"interactive":[64,84],"wire":[65,91,164],"transaction":[66],"system":[68,82],"a":[70,213],"visual":[71,78,113],"state":[72,114],"transition":[73,115],"matrix,":[74],"both":[75],"designed":[76],"as":[77],"analytics":[79],"The":[81,112],"enables":[83],"financial":[88],"fraud":[89],"in":[90,119,141,220],"transactions.":[92,165],"It":[93],"also":[94],"allows":[95],"mapping":[96],"captured":[97,150],"back":[103],"onto":[104],"reveal":[108],"their":[109,125,155],"decision":[110],"differences.":[111],"matrix":[116],"further":[117],"aids":[118],"flows,":[123],"revealing":[124],"decision-making":[126],"Classification":[128],"machine":[129],"learning":[130],"algorithms":[131],"are":[132],"applied":[133],"evaluate":[135],"our":[139],"process":[146],"connecting":[148],"(i.e.,":[157],"suspicious,":[158,160],"not":[159],"inconclusive)":[162],"on":[163],"With":[166],"algorithms,":[168],"average":[170,187],"72%":[172],"accuracy":[173,188,193],"determined":[175],"classify":[177],"interactions.":[181],"For":[182],"classifying":[183,195],"individual":[184],"decisions,":[185],"70%.":[190],"Notably,":[191],"\u2018inconclusive\u2019":[196],"83%.":[199],"Overall,":[200],"proposed":[202],"improves":[204],"provides":[212],"robust":[214],"method":[215],"tools.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}