{"id":"https://openalex.org/W4388967525","doi":"https://doi.org/10.3233/jifs-236009","title":"Outlier detection using conditional information entropy and rough set theory","display_name":"Outlier detection using conditional information entropy and rough set theory","publication_year":2023,"publication_date":"2023-11-24","ids":{"openalex":"https://openalex.org/W4388967525","doi":"https://doi.org/10.3233/jifs-236009"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-236009","is_oa":true,"landing_page_url":"https://doi.org/10.3233/jifs-236009","pdf_url":"https://content.iospress.com:443/download/journal-of-intelligent-and-fuzzy-systems/ifs236009?id=journal-of-intelligent-and-fuzzy-systems%2Fifs236009","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":true,"oa_status":"bronze","oa_url":"https://content.iospress.com:443/download/journal-of-intelligent-and-fuzzy-systems/ifs236009?id=journal-of-intelligent-and-fuzzy-systems%2Fifs236009","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086034088","display_name":"Zhaowen Li","orcid":"https://orcid.org/0000-0002-4437-9214"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhaowen Li","raw_affiliation_strings":["School of Computer Science, Guangdong University of Science and Technology, Dongguan, Guangdong, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong University of Science and Technology, Dongguan, Guangdong, P.R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024604206","display_name":"Shengxue Wei","orcid":null},"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":"Shengxue Wei","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/A5048719062","display_name":"Suping Liu","orcid":"https://orcid.org/0000-0003-3274-6870"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Suping Liu","raw_affiliation_strings":["School of Computer Science, Guangdong University of Science and Technology, Dongguan, Guangdong, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong University of Science and Technology, Dongguan, Guangdong, P.R. China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024604206","https://openalex.org/A5048719062"],"corresponding_institution_ids":["https://openalex.org/I27462735"],"apc_list":null,"apc_paid":null,"fwci":0.5139,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72655486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"46","issue":"1","first_page":"1899","last_page":"1918"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.989799976348877,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.681494951248169},{"id":"https://openalex.org/keywords/conditional-entropy","display_name":"Conditional entropy","score":0.6576728820800781},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.6380088329315186},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5952152013778687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5814263224601746},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5778324604034424},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5656066536903381},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5131962895393372},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.48525404930114746},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47766077518463135},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41096681356430054},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.34361228346824646}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.681494951248169},{"id":"https://openalex.org/C101721835","wikidata":"https://www.wikidata.org/wiki/Q813908","display_name":"Conditional entropy","level":3,"score":0.6576728820800781},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.6380088329315186},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5952152013778687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5814263224601746},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5778324604034424},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5656066536903381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5131962895393372},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.48525404930114746},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47766077518463135},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41096681356430054},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.34361228346824646},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-236009","is_oa":true,"landing_page_url":"https://doi.org/10.3233/jifs-236009","pdf_url":"https://content.iospress.com:443/download/journal-of-intelligent-and-fuzzy-systems/ifs236009?id=journal-of-intelligent-and-fuzzy-systems%2Fifs236009","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":{"id":"doi:10.3233/jifs-236009","is_oa":true,"landing_page_url":"https://doi.org/10.3233/jifs-236009","pdf_url":"https://content.iospress.com:443/download/journal-of-intelligent-and-fuzzy-systems/ifs236009?id=journal-of-intelligent-and-fuzzy-systems%2Fifs236009","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"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G2939216075","display_name":null,"funder_award_id":"1197142","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3284012459","display_name":null,"funder_award_id":"12261096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5688209403","display_name":null,"funder_award_id":"11971420","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6221780053","display_name":null,"funder_award_id":"11971","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7292613852","display_name":null,"funder_award_id":"2020GXNSFAA1591","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G7988511056","display_name":null,"funder_award_id":"2020GXNSFAA159155","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G923288764","display_name":null,"funder_award_id":"1226109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388967525.pdf","grobid_xml":"https://content.openalex.org/works/W4388967525.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1995875735","https://openalex.org/W2006825483","https://openalex.org/W2019014808","https://openalex.org/W2043051613","https://openalex.org/W2050547585","https://openalex.org/W2088400370","https://openalex.org/W2128406786","https://openalex.org/W2143559571","https://openalex.org/W2282861635","https://openalex.org/W2292553612","https://openalex.org/W2336722140","https://openalex.org/W2561208659","https://openalex.org/W2760451156","https://openalex.org/W2799036102","https://openalex.org/W2806263484","https://openalex.org/W2807198477","https://openalex.org/W2901560888","https://openalex.org/W2902479064","https://openalex.org/W2969822227","https://openalex.org/W3036449480","https://openalex.org/W3040266635","https://openalex.org/W3096652072","https://openalex.org/W3134257270","https://openalex.org/W3135550350","https://openalex.org/W3137199127","https://openalex.org/W3139312239","https://openalex.org/W3167599219","https://openalex.org/W3170977775","https://openalex.org/W3192721019","https://openalex.org/W3215241710","https://openalex.org/W4224254843","https://openalex.org/W4226060502","https://openalex.org/W4255833381","https://openalex.org/W4256141317","https://openalex.org/W4282980030","https://openalex.org/W4283009062","https://openalex.org/W4283030065","https://openalex.org/W4310727125","https://openalex.org/W4379468519","https://openalex.org/W4384563644","https://openalex.org/W4386453753","https://openalex.org/W6745705539","https://openalex.org/W6751676493","https://openalex.org/W6791818776"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729","https://openalex.org/W2147792896","https://openalex.org/W2053566994","https://openalex.org/W202303397","https://openalex.org/W2279821256","https://openalex.org/W588585258"],"abstract_inverted_index":{"Outlier":[0],"detection":[1,44,51,91,103,166,184,257],"is":[2,30,81,126,168,176,222,259],"critically":[3],"important":[4],"in":[5,38,70,92,116,217,237],"the":[6,14,36,78,137,147,173,181,211,218,225,238,254,264],"field":[7],"of":[8,24,134,149,172,214,228,253],"data":[9,12,63,196,220,240],"mining.":[10],"Real-world":[11],"have":[13,198],"impreciseness":[15],"and":[16,108,140,151,178,193,207,224,234,248],"ambiguity":[17],"which":[18,75,128],"can":[19],"be":[20,47],"handled":[21],"by":[22],"means":[23,76],"rough":[25,109,123],"set":[26,110,124,221,241],"theory.":[27,111],"Information":[28],"entropy":[29,107,115,139],"an":[31,39],"effective":[32],"way":[33],"to":[34,156,203],"measure":[35,133],"uncertainty":[37],"information":[40,73,96,106,114,119,163],"system.":[41,97],"Most":[42],"outlier":[43,50,90,102,158,165,183,256],"methods":[45,67,85],"may":[46],"called":[48],"unsupervised":[49],"because":[52],"they":[53],"are":[54,64,68,143,154,242],"only":[55],"dealt":[56],"with":[57,180],"unlabeled":[58],"data.":[59],"When":[60],"sufficient":[61],"labeled":[62],"available,":[65],"these":[66,84],"used":[69],"a":[71,93,94,117,130,161],"decision":[72,79,95,118,265],"system,":[74],"that":[77,260],"attribute":[80],"discarded.":[82],"Thus,":[83],"maybe":[86],"not":[87],"right":[88],"for":[89],"This":[98],"paper":[99],"proposes":[100],"supervised":[101],"using":[104],"conditional":[105,113,162],"Firstly,":[112],"system":[120],"based":[121],"on":[122],"theory":[125],"calculated,":[127],"provides":[129],"more":[131],"comprehensive":[132],"uncertainty.":[135],"Then,":[136],"relative":[138,141],"cardinality":[142],"put":[144],"forward.":[145],"Next,":[146],"degree":[148],"outlierness":[150],"weight":[152],"function":[153],"presented":[155],"find":[157],"factors.":[159],"Finally,":[160],"entropy-based":[164],"algorithm":[167,175,216],"given.":[169],"The":[170,251],"performance":[171],"given":[174],"evaluated":[177],"compared":[179],"existing":[182],"algorithms":[185,236],"such":[186],"as":[187],"LOF,":[188,229],"KNN,":[189,230],"Forest,":[190,232],"SVM,":[191,231],"IE,":[192],"ECOD.":[194],"Twelve":[195],"sets":[197],"been":[199],"taken":[200],"from":[201],"UCI":[202],"prove":[204],"its":[205],"efficiency":[206],"performance.":[208],"For":[209],"example,":[210],"AUC":[212,226],"value":[213],"CIE":[215],"Hayes":[219,239],"0.949,":[223],"values":[227],"IE":[233],"ECOD":[235],"0.647,":[243],"0.572,":[244],"0.680,":[245],"0.676,":[246],"0.928":[247],"0.667,":[249],"respectively.":[250],"advantage":[252],"proposed":[255],"method":[258],"it":[261],"fully":[262],"utilizes":[263],"information.":[266]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}