{"id":"https://openalex.org/W2735584150","doi":"https://doi.org/10.1109/access.2017.2726078","title":"Uncovering Suspicious Activity From Partially Paired and Incomplete Multimodal Data","display_name":"Uncovering Suspicious Activity From Partially Paired and Incomplete Multimodal Data","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2735584150","doi":"https://doi.org/10.1109/access.2017.2726078","mag":"2735584150"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2726078","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2726078","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2017.2726078","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032295494","display_name":"Carter Chiu","orcid":"https://orcid.org/0000-0002-5152-2883"},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Carter Chiu","raw_affiliation_strings":["Department of Computer Science and Technology, University of Nevada at Las Vegas, Las Vegas, NV, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Nevada at Las Vegas, Las Vegas, NV, USA","institution_ids":["https://openalex.org/I133999245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101544979","display_name":"Justin Zhan","orcid":"https://orcid.org/0000-0003-4210-6279"},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin Zhan","raw_affiliation_strings":["Department of Computer Science and Technology, University of Nevada at Las Vegas, Las Vegas, NV, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Nevada at Las Vegas, Las Vegas, NV, USA","institution_ids":["https://openalex.org/I133999245"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102301059","display_name":"Felix Zhan","orcid":null},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Felix Zhan","raw_affiliation_strings":["Department of Computer Science and Technology, University of Nevada at Las Vegas, Las Vegas, NV, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Nevada at Las Vegas, Las Vegas, NV, USA","institution_ids":["https://openalex.org/I133999245"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032295494"],"corresponding_institution_ids":["https://openalex.org/I133999245"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.5104,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.94222477,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"5","issue":null,"first_page":"13689","last_page":"13698"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9990000128746033,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7937443256378174},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6175867319107056},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.6097209453582764},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6036781072616577},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.559355616569519},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.49689629673957825},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.46730777621269226},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4646097719669342},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.4466267228126526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42522573471069336},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37236499786376953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7937443256378174},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6175867319107056},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.6097209453582764},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6036781072616577},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.559355616569519},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.49689629673957825},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.46730777621269226},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4646097719669342},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.4466267228126526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42522573471069336},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37236499786376953},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2017.2726078","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2726078","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:23a5511ffdb84ac98cad3bde15694648","is_oa":true,"landing_page_url":"https://doaj.org/article/23a5511ffdb84ac98cad3bde15694648","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 5, Pp 13689-13698 (2017)","raw_type":"article"},{"id":"pmh:oai:oasis.library.unlv.edu:compsci_fac_articles-1091","is_oa":false,"landing_page_url":"https://oasis.library.unlv.edu/compsci_fac_articles/92","pdf_url":null,"source":{"id":"https://openalex.org/S4377196371","display_name":"Digital Scholarship - UNLV (University of Nevada Reno)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134113660","host_organization_name":"University of Nevada, Reno","host_organization_lineage":["https://openalex.org/I134113660"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Science Faculty Research","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2726078","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2726078","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1526983901","https://openalex.org/W1966648520","https://openalex.org/W1973644085","https://openalex.org/W2008796402","https://openalex.org/W2014184612","https://openalex.org/W2016569512","https://openalex.org/W2021363263","https://openalex.org/W2023190354","https://openalex.org/W2027452930","https://openalex.org/W2041709326","https://openalex.org/W2047923585","https://openalex.org/W2070308417","https://openalex.org/W2101447063","https://openalex.org/W2111639622","https://openalex.org/W2119412403","https://openalex.org/W2133591726","https://openalex.org/W2147128677","https://openalex.org/W2148275477","https://openalex.org/W2248736178","https://openalex.org/W2286850974","https://openalex.org/W2296311849","https://openalex.org/W2331106415","https://openalex.org/W2337240321","https://openalex.org/W2337331007","https://openalex.org/W2528528009","https://openalex.org/W2547680778","https://openalex.org/W2547879817","https://openalex.org/W2591749048","https://openalex.org/W2591987426","https://openalex.org/W2600878155","https://openalex.org/W3098653001"],"related_works":["https://openalex.org/W4330338194","https://openalex.org/W2118758177","https://openalex.org/W2153520307","https://openalex.org/W2151459719","https://openalex.org/W623261610","https://openalex.org/W2316630966","https://openalex.org/W2485872624","https://openalex.org/W2036523811","https://openalex.org/W2358294942","https://openalex.org/W4367460280"],"abstract_inverted_index":{"Multimodal":[0],"data":[1,29,76,89,96,103,131,139],"can":[2],"be":[3],"used":[4],"to":[5,25,150],"gain":[6],"additional":[7],"perspective":[8],"on":[9],"a":[10,65,111,127],"phenomenon.":[11],"For":[12],"applications,":[13],"such":[14],"as":[15],"security":[16],"and":[17,27,46,70,152,158],"the":[18,23,68,82,95,118,138],"detection":[19,40,136],"of":[20,57,72,75,84,121],"suspicious":[21,38,58,78,134],"activity,":[22],"need":[24],"aggregate":[26],"analyze":[28],"from":[30,106],"multiple":[31,73],"modes":[32,74],"is":[33,97,100,148],"vital.":[34],"Recent":[35],"research":[36],"in":[37,50,87,161],"behavior":[39],"has":[41,110],"introduced":[42],"methods":[43],"for":[44,67,77,115,129,133],"identifying":[45],"scoring":[47],"dense":[48],"blocks":[49],"multivariate":[51],"tensors,":[52],"which":[53],"are":[54,140],"consistent":[55],"indicators":[56],"activity.":[59],"None":[60],"yet,":[61],"however,":[62],"have":[63],"proposed":[64],"method":[66,112,147],"merging":[69],"analysis":[71,132],"behavior,":[79],"especially":[80],"when":[81,102,137],"set":[83,90],"items":[85],"described":[86,114],"each":[88],"do":[91],"not":[92],"match-that":[93],"is,":[94],"partially":[98,142],"paired-which":[99],"common":[101],"sets":[104],"originate":[105],"different":[107],"sources.":[108],"Neither":[109],"been":[113],"dealing":[116],"with":[117],"similar":[119],"case":[120],"incomplete":[122],"data.":[123],"This":[124],"paper":[125],"introduces":[126],"technique":[128],"multimodal":[130],"activity":[135],"only":[141],"paired":[143,163],"and/or":[144],"incomplete.":[145],"The":[146],"applied":[149],"synthetic":[151],"real":[153],"data,":[154],"demonstrating":[155],"strong":[156],"precision":[157],"recall":[159],"even":[160],"poorly":[162],"cases.":[164]},"counts_by_year":[{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}