{"id":"https://openalex.org/W4388967445","doi":"https://doi.org/10.3233/jifs-236518","title":"A new unsupervised outlier detection method","display_name":"A new unsupervised outlier detection method","publication_year":2023,"publication_date":"2023-11-24","ids":{"openalex":"https://openalex.org/W4388967445","doi":"https://doi.org/10.3233/jifs-236518"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-236518","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-236518","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5011425498","display_name":"Lina Zheng","orcid":"https://orcid.org/0000-0002-8412-3344"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lina Zheng","raw_affiliation_strings":["School of Economics, Guangxi University, Nanning, Guangxi, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Economics, Guangxi University, Nanning, Guangxi, P.R. China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398616","display_name":"Lijun Chen","orcid":"https://orcid.org/0000-0001-6694-4299"},"institutions":[{"id":"https://openalex.org/I27462735","display_name":"Yulin Normal University","ror":"https://ror.org/00445hv47","country_code":"CN","type":"education","lineage":["https://openalex.org/I27462735"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lijun Chen","raw_affiliation_strings":["Center for Applied Mathematics of Guangxi, Yulin Normal University, Yulin, Guangxi, P.R. China"],"affiliations":[{"raw_affiliation_string":"Center for Applied Mathematics of Guangxi, Yulin Normal University, Yulin, Guangxi, P.R. China","institution_ids":["https://openalex.org/I27462735"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057765179","display_name":"Yini Wang","orcid":"https://orcid.org/0000-0001-8545-2660"},"institutions":[{"id":"https://openalex.org/I163732180","display_name":"Guangxi University of Finance and Economics","ror":"https://ror.org/02ayg6516","country_code":"CN","type":"education","lineage":["https://openalex.org/I163732180"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yini Wang","raw_affiliation_strings":["Guangxi Key Laboratory of Seaward Economic Intelligent System Analysis and Decision, Guangxi University of Finance and Economics, Nanning, Guangxi, P.R. China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Seaward Economic Intelligent System Analysis and Decision, Guangxi University of Finance and Economics, Nanning, Guangxi, P.R. China","institution_ids":["https://openalex.org/I163732180"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057765179","https://openalex.org/A5100398616"],"corresponding_institution_ids":["https://openalex.org/I163732180","https://openalex.org/I27462735"],"apc_list":null,"apc_paid":null,"fwci":0.3497,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66806569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"46","issue":"1","first_page":"1713","last_page":"1734"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9735000133514404,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9671000242233276,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.8671910166740417},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7533512711524963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6761010885238647},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6665866374969482},{"id":"https://openalex.org/keywords/local-outlier-factor","display_name":"Local outlier factor","score":0.5811192393302917},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5777780413627625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5033356547355652},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.4764804542064667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43590059876441956},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4130387306213379},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22337457537651062}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8671910166740417},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7533512711524963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6761010885238647},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6665866374969482},{"id":"https://openalex.org/C169029474","wikidata":"https://www.wikidata.org/wiki/Q387942","display_name":"Local outlier factor","level":3,"score":0.5811192393302917},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5777780413627625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5033356547355652},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.4764804542064667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43590059876441956},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4130387306213379},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22337457537651062},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-236518","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-236518","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W177772168","https://openalex.org/W1519474383","https://openalex.org/W1565746575","https://openalex.org/W1673310716","https://openalex.org/W1985058355","https://openalex.org/W1995443851","https://openalex.org/W2006444123","https://openalex.org/W2019014808","https://openalex.org/W2021998574","https://openalex.org/W2041193317","https://openalex.org/W2043051613","https://openalex.org/W2165835468","https://openalex.org/W2182722412","https://openalex.org/W2282861635","https://openalex.org/W2558481215","https://openalex.org/W2578025879","https://openalex.org/W2760451156","https://openalex.org/W2807198477","https://openalex.org/W2898322594","https://openalex.org/W2963650911","https://openalex.org/W3096652072","https://openalex.org/W3134257270","https://openalex.org/W3136145627","https://openalex.org/W3170977775","https://openalex.org/W3192721019","https://openalex.org/W3202958651","https://openalex.org/W3211403423","https://openalex.org/W4255833381","https://openalex.org/W4283009062","https://openalex.org/W4283030065","https://openalex.org/W4313627681","https://openalex.org/W6637131181"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W2770832849","https://openalex.org/W4229333355","https://openalex.org/W3111802945","https://openalex.org/W114119537","https://openalex.org/W2912112202","https://openalex.org/W4240627425","https://openalex.org/W2761705761","https://openalex.org/W2122407924","https://openalex.org/W2946096271"],"abstract_inverted_index":{"Information":[0],"amount":[1,44,50,74],"has":[2,18],"been":[3,19],"shown":[4],"to":[5,138],"be":[6],"one":[7],"of":[8,45,63,66,85,133,157,161],"the":[9,43,48,64,71,76,83,93,119,129,159],"most":[10],"efficient":[11],"methods":[12],"for":[13],"measuring":[14],"uncertainty.":[15],"However,":[16],"there":[17],"little":[20],"research":[21],"on":[22,42,147],"outlier":[23,38,96,107,115,122,141,162],"detection":[24,39,116,163],"using":[25],"information":[26,49,54,68,73,94,120,166],"amount.":[27],"To":[28,127],"fill":[29],"this":[30,32,67,153],"void,":[31],"paper":[33],"provides":[34],"a":[35,52,60,112],"new":[36,113],"unsupervised":[37,114],"method":[40,117,154],"based":[41],"information.":[46],"First,":[47],"in":[51,164],"given":[53],"system":[55],"is":[56,98,105,125,136,155],"determined,":[57],"which":[58,100],"offers":[59],"thorough":[61],"estimate":[62],"uncertainty":[65],"system.":[69],"Then,":[70],"relative":[72,77],"and":[75,87,131],"cardinality":[78],"are":[79,90],"proposed.":[80],"Following":[81],"that,":[82],"degree":[84],"outlierness":[86],"weight":[88],"function":[89],"shown.":[91],"Furthermore,":[92],"amount-based":[95,121],"factor":[97,123],"constructed,":[99],"determines":[101],"whether":[102],"an":[103,106],"object":[104],"by":[108],"its":[109],"rank.":[110],"Finally,":[111],"called":[118],"(IAOF)":[124],"developed.":[126],"validate":[128],"effectiveness":[130],"advantages":[132],"IAOF,":[134],"it":[135],"compared":[137],"five":[139],"existing":[140],"identification":[142],"methods.":[143],"The":[144],"experimental":[145],"results":[146],"real-world":[148],"data":[149],"sets":[150],"show":[151],"that":[152],"capable":[156],"addressing":[158],"problem":[160],"categorical":[165],"systems.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}