{"id":"https://openalex.org/W3186518017","doi":"https://doi.org/10.1109/jcsse53117.2021.9493811","title":"Mass-ratio-variance based Outlier Factor","display_name":"Mass-ratio-variance based Outlier Factor","publication_year":2021,"publication_date":"2021-06-30","ids":{"openalex":"https://openalex.org/W3186518017","doi":"https://doi.org/10.1109/jcsse53117.2021.9493811","mag":"3186518017"},"language":"en","primary_location":{"id":"doi:10.1109/jcsse53117.2021.9493811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse53117.2021.9493811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE)","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/A5023278979","display_name":"Phichapop Changsakul","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Phichapop Changsakul","raw_affiliation_strings":["Chulalongkorn University,Faculty of Science,Department of Mathematics and Computer Science,Bangkok,Thailand,10330"],"affiliations":[{"raw_affiliation_string":"Chulalongkorn University,Faculty of Science,Department of Mathematics and Computer Science,Bangkok,Thailand,10330","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068664985","display_name":"Somjai Boonsiri","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Somjai Boonsiri","raw_affiliation_strings":["Chulalongkorn University,Faculty of Science,Department of Mathematics and Computer Science,Bangkok,Thailand,10330"],"affiliations":[{"raw_affiliation_string":"Chulalongkorn University,Faculty of Science,Department of Mathematics and Computer Science,Bangkok,Thailand,10330","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034449756","display_name":"Krung Sinapiromsaran","orcid":"https://orcid.org/0000-0001-9733-8937"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Krung Sinapiromsaran","raw_affiliation_strings":["Chulalongkorn University,Faculty of Science,Department of Mathematics and Computer Science,Bangkok,Thailand,10330"],"affiliations":[{"raw_affiliation_string":"Chulalongkorn University,Faculty of Science,Department of Mathematics and Computer Science,Bangkok,Thailand,10330","institution_ids":["https://openalex.org/I158708052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023278979"],"corresponding_institution_ids":["https://openalex.org/I158708052"],"apc_list":null,"apc_paid":null,"fwci":0.6798,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75508638,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9937999844551086,"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"}},{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.9295430779457092},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.659661054611206},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.524389922618866},{"id":"https://openalex.org/keywords/local-outlier-factor","display_name":"Local outlier factor","score":0.48209479451179504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4603867530822754},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4549020528793335},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42816174030303955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42515718936920166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42408961057662964},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36778128147125244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3455466330051422}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.9295430779457092},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.659661054611206},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.524389922618866},{"id":"https://openalex.org/C169029474","wikidata":"https://www.wikidata.org/wiki/Q387942","display_name":"Local outlier factor","level":3,"score":0.48209479451179504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4603867530822754},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4549020528793335},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42816174030303955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42515718936920166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42408961057662964},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36778128147125244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3455466330051422},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jcsse53117.2021.9493811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse53117.2021.9493811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1530232915","https://openalex.org/W1584412742","https://openalex.org/W1986332411","https://openalex.org/W1993442139","https://openalex.org/W2019014808","https://openalex.org/W2097714558","https://openalex.org/W2110784166","https://openalex.org/W2122646361","https://openalex.org/W2137130182","https://openalex.org/W2144182447","https://openalex.org/W2278186031","https://openalex.org/W2590820211","https://openalex.org/W2954809180","https://openalex.org/W4239562425","https://openalex.org/W4254182148"],"related_works":["https://openalex.org/W2439951380","https://openalex.org/W2805455700","https://openalex.org/W2885987569","https://openalex.org/W2022185900","https://openalex.org/W2409809507","https://openalex.org/W2112630554","https://openalex.org/W3093275957","https://openalex.org/W3090793142","https://openalex.org/W2369977179","https://openalex.org/W3176177171"],"abstract_inverted_index":{"An":[0],"outlier":[1,41,91,138],"of":[2,59,66,72,89,97],"a":[3,11,24,53,70,83,98],"finite":[4],"dataset":[5],"in":[6],"statistics":[7],"is":[8,20,50],"defined":[9],"as":[10,142],"data":[12,26,54,67,79,100],"point":[13,55],"that":[14,96,118],"differs":[15],"significantly":[16],"from":[17,56,63,95,122,128,135,152],"others.":[18,34],"It":[19],"normally":[21],"surrounded":[22],"by":[23,33],"few":[25,78],"points":[27,80],"while":[28],"normal":[29,84,99],"ones":[30],"are":[31],"engulfed":[32],"This":[35],"behavior":[36],"leads":[37],"to":[38,52,104,132],"the":[39,57,60,64,87,112,136],"proposed":[40],"factor":[42],"called":[43],"Mass-ratio-variance":[44],"Outlier":[45],"Factor":[46],"(MOF).":[47],"A":[48],"score":[49],"assigned":[51],"variance":[58],"mass-ratio":[61,88],"distribution":[62],"rest":[65],"points.":[68],"Within":[69],"sphere":[71],"an":[73,90],"outlier,":[74],"there":[75],"will":[76,92],"be":[77,93],"compared":[81],"with":[82],"one.":[85],"So,":[86],"different":[94],"point.":[101],"The":[102],"algorithm":[103],"generate":[105],"MOF":[106,123],"requires":[107],"no":[108],"parameter":[109],"and":[110,144],"embraces":[111],"density":[113],"concept.":[114],"Experimental":[115],"results":[116],"show":[117],"top-10":[119],"highest":[120],"scores":[121,134],"could":[124,148],"identify":[125],"all":[126],"outliers":[127,151],"synthesized":[129],"datasets":[130],"similar":[131],"those":[133],"state-of-the-art":[137],"scoring":[139],"methods":[140],"such":[141],"LOF":[143],"FastABOD.":[145],"Moreover,":[146],"it":[147],"retrieve":[149],"more":[150],"three":[153],"real":[154],"World":[155],"datasets.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}