{"id":"https://openalex.org/W3017190494","doi":"https://doi.org/10.1109/icaiic48513.2020.9065228","title":"Visualization Techniques for Outlier Data","display_name":"Visualization Techniques for Outlier Data","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3017190494","doi":"https://doi.org/10.1109/icaiic48513.2020.9065228","mag":"3017190494"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic48513.2020.9065228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic48513.2020.9065228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5045398581","display_name":"Seoung-Ho Choi","orcid":"https://orcid.org/0000-0002-7318-095X"},"institutions":[{"id":"https://openalex.org/I24214720","display_name":"Hansung University","ror":"https://ror.org/048m9x696","country_code":"KR","type":"education","lineage":["https://openalex.org/I24214720"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seoung-Ho Choi","raw_affiliation_strings":["Dept. of Electronics and Information Engineering, Hansung University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Information Engineering, Hansung University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I24214720"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054928719","display_name":"Young-Kyo Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I24214720","display_name":"Hansung University","ror":"https://ror.org/048m9x696","country_code":"KR","type":"education","lineage":["https://openalex.org/I24214720"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Kyo Oh","raw_affiliation_strings":["Dept. of Electronics and Information Engineering, Hansung University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Information Engineering, Hansung University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I24214720"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041730983","display_name":"Dongyoung Koo","orcid":"https://orcid.org/0000-0003-3283-5494"},"institutions":[{"id":"https://openalex.org/I24214720","display_name":"Hansung University","ror":"https://ror.org/048m9x696","country_code":"KR","type":"education","lineage":["https://openalex.org/I24214720"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongyoung Koo","raw_affiliation_strings":["Dept. of Electronics and Information Engineering, Hansung University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Information Engineering, Hansung University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I24214720"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045398581"],"corresponding_institution_ids":["https://openalex.org/I24214720"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.03895327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"9","issue":null,"first_page":"346","last_page":"351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9961000084877014,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9950000047683716,"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/outlier","display_name":"Outlier","score":0.8463223576545715},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.8453000783920288},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7649718523025513},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6371641755104065},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6123597025871277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6071896553039551},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5355650782585144},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5307326912879944},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5258779525756836},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5255787968635559},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21132206916809082}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8463223576545715},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.8453000783920288},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7649718523025513},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6371641755104065},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6123597025871277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6071896553039551},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5355650782585144},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5307326912879944},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5258779525756836},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5255787968635559},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21132206916809082}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic48513.2020.9065228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic48513.2020.9065228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2001141328","https://openalex.org/W2053186076","https://openalex.org/W2086220442","https://openalex.org/W2148143831","https://openalex.org/W2187089797","https://openalex.org/W2521028896","https://openalex.org/W2786672974","https://openalex.org/W4299412574","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W4367857133","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729"],"abstract_inverted_index":{"When":[0],"deep":[1],"learning":[2],"models":[3],"classify":[4],"the":[5,20,65,80,94,103,121],"actual":[6],"data":[7,38,53,105],"and":[8,49,99,116],"outlier":[9,37,52,104,129],"data,":[10],"most":[11],"of":[12,67,82,111,120],"them":[13],"do":[14],"not":[15],"have":[16],"enough":[17],"information":[18],"about":[19],"outlier,":[21],"which":[22],"might":[23],"cause":[24],"misclassification.":[25],"Therefore,":[26],"there":[27],"is":[28,106],"a":[29,43,58,74],"need":[30],"for":[31,51,128],"an":[32],"efficient":[33],"way":[34],"to":[35],"analyze":[36],"through":[39],"visualization.":[40],"We":[41,71],"propose":[42],"visualization":[44,61,77,123],"method":[45,62,78,96,124],"combining":[46],"LBP,":[47],"LLE":[48],"SMOTE":[50],"detection.":[54,130],"Furthermore,":[55],"we":[56,92],"introduce":[57],"new":[59,75],"confusion":[60],"that":[63],"uses":[64],"similarity":[66],"pixel":[68,83],"density":[69],"distributions.":[70],"also":[72],"present":[73],"histogram":[76],"using":[79],"frequency":[81],"position's":[84],"distribution":[85],"in":[86],"EDA.":[87],"To":[88],"validate":[89],"its":[90,126],"effectiveness,":[91],"compared":[93],"proposed":[95,122],"with":[97],"UMAP":[98],"LLE.":[100],"In":[101],"evaluation,":[102],"generated":[107],"by":[108],"three":[109],"types":[110],"GAN":[112],"(Vanilla":[113],"GAN,":[114],"DRAGAN,":[115],"EBGAN).":[117],"The":[118],"results":[119],"show":[125],"usefulness":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
