{"id":"https://openalex.org/W4281897569","doi":"https://doi.org/10.1145/3524304.3524315","title":"Distance Boxplot for Unsupervised Outlier Detection","display_name":"Distance Boxplot for Unsupervised Outlier Detection","publication_year":2022,"publication_date":"2022-02-24","ids":{"openalex":"https://openalex.org/W4281897569","doi":"https://doi.org/10.1145/3524304.3524315"},"language":"en","primary_location":{"id":"doi:10.1145/3524304.3524315","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524304.3524315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 11th International Conference on Software and Computer Applications","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/A5053314319","display_name":"Atiq Ur Rehman","orcid":"https://orcid.org/0000-0003-0248-7919"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Atiq ur Rehman","raw_affiliation_strings":["ICT Division, College of Science and Engineering, Hamad Bin Khalifa University, Qatar and Department of Electrical &amp; Computer Engineering, Pak-Austria Fachhochschule Institute of Applied Sciences and Technology, Pakistan"],"affiliations":[{"raw_affiliation_string":"ICT Division, College of Science and Engineering, Hamad Bin Khalifa University, Qatar and Department of Electrical &amp; Computer Engineering, Pak-Austria Fachhochschule Institute of Applied Sciences and Technology, Pakistan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053691175","display_name":"Samir Brahim Belhaouari","orcid":"https://orcid.org/0000-0003-2336-0490"},"institutions":[{"id":"https://openalex.org/I4210144839","display_name":"Hamad bin Khalifa University","ror":"https://ror.org/03eyq4y97","country_code":"QA","type":"education","lineage":["https://openalex.org/I4210144839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Samir Brahim Belhaouari","raw_affiliation_strings":["ICT Division, College of Science and Engineering, Hamad Bin Khalifa University, Qatar"],"affiliations":[{"raw_affiliation_string":"ICT Division, College of Science and Engineering, Hamad Bin Khalifa University, Qatar","institution_ids":["https://openalex.org/I4210144839"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5053314319"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5303,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70042631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"74","last_page":"77"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"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/anomaly-detection","display_name":"Anomaly detection","score":0.7871180772781372},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.651635468006134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6505630612373352},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6120225787162781},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5759623646736145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5571336150169373},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5398591756820679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5332419872283936},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4944486618041992},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.45735305547714233},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.43494829535484314},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.42449167370796204},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24867886304855347},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11439010500907898},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07053804397583008}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7871180772781372},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.651635468006134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6505630612373352},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6120225787162781},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5759623646736145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5571336150169373},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5398591756820679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5332419872283936},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4944486618041992},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.45735305547714233},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.43494829535484314},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.42449167370796204},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24867886304855347},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11439010500907898},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07053804397583008},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3524304.3524315","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524304.3524315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 11th International Conference on Software and Computer Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1584412742","https://openalex.org/W1986332411","https://openalex.org/W2122646361","https://openalex.org/W2129281431","https://openalex.org/W2282861635","https://openalex.org/W2343025113","https://openalex.org/W2794090458","https://openalex.org/W2888297916","https://openalex.org/W2895250764","https://openalex.org/W2901045276","https://openalex.org/W2901773810","https://openalex.org/W2916600249","https://openalex.org/W2951525800","https://openalex.org/W3005893373","https://openalex.org/W3106688607","https://openalex.org/W3134989920","https://openalex.org/W3196469142","https://openalex.org/W3210216139","https://openalex.org/W6770307715"],"related_works":["https://openalex.org/W2357468538","https://openalex.org/W1577110157","https://openalex.org/W2355007334","https://openalex.org/W2390009783","https://openalex.org/W4254602698","https://openalex.org/W2394461323","https://openalex.org/W2349441905","https://openalex.org/W2361044160","https://openalex.org/W2750141660","https://openalex.org/W1996619541"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,24,34],"is":[2,13,40,49,144],"one":[3],"of":[4,63,74,77,96,102,115,128,140],"the":[5,43,52,83,88,94,100,141],"key":[6],"step":[7],"in":[8,16,57,131],"data":[9,97,104,117,125],"preprocessing.":[10],"Moreover,":[11],"it":[12,108],"also":[14],"vital":[15],"decision":[17],"processing":[18],"with":[19,51,87,99],"applications":[20],"such":[21],"as":[22,123],"intrusion":[23],"and":[25,135],"spam":[26],"filtering.":[27],"In":[28,42],"this":[29],"paper,":[30],"an":[31],"unsupervised":[32],"anomaly":[33],"method":[35],"based":[36],"on":[37],"boxplot":[38,54],"approach":[39,61,143],"proposed.":[41],"proposed":[44,142],"approach,":[45],"a":[46,58,67,72,132],"distance":[47,78],"metric":[48,79],"integrated":[50],"classical":[53],"which":[55,119],"results":[56],"powerful":[59],"hybrid":[60],"capable":[62],"detecting":[64,112],"both,":[65],"either":[66],"single":[68],"lying":[69],"outlier":[70],"or":[71],"cluster":[73],"outliers.":[75],"Integration":[76],"takes":[80],"into":[81],"account":[82],"neighborhood":[84],"estimation":[85],"along":[86,98],"density":[89],"estimation.":[90],"The":[91,138],"concept":[92],"realizes":[93],"compactness":[95],"position":[101],"underlying":[103],"points.":[105],"This":[106],"makes":[107],"suitable":[109],"even":[110],"for":[111],"small":[113],"clusters":[114],"outlying":[116],"points":[118,126],"can":[120],"be":[121],"ignored":[122],"inlier":[124],"because":[127],"their":[129],"existence":[130],"close":[133],"proximity":[134],"high":[136],"density.":[137],"usefulness":[139],"demonstrated":[145],"by":[146],"some":[147],"complex":[148],"synthetic":[149],"datasets.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
