{"id":"https://openalex.org/W2897565866","doi":"https://doi.org/10.1109/fuzz-ieee.2018.8491618","title":"Dynamic Rough-Fuzzy Support Vector Domain Description for Outlier Detection","display_name":"Dynamic Rough-Fuzzy Support Vector Domain Description for Outlier Detection","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897565866","doi":"https://doi.org/10.1109/fuzz-ieee.2018.8491618","mag":"2897565866"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2018.8491618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2018.8491618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5071146443","display_name":"Ramiro Saltos","orcid":"https://orcid.org/0000-0001-6051-4028"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Ramiro Saltos Atiencia","raw_affiliation_strings":["Department of Industrial Engineering, FCFM, Universidad de Chile, Santiago de, Chile"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, FCFM, Universidad de Chile, Santiago de, Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085037027","display_name":"Richard W. Weber","orcid":"https://orcid.org/0000-0002-6351-1065"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Richard Weber","raw_affiliation_strings":["Department of Industrial Engineering, FCFM, Universidad de Chile, Santiago de, Chile"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, FCFM, Universidad de Chile, Santiago de, Chile","institution_ids":["https://openalex.org/I69737025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071146443"],"corresponding_institution_ids":["https://openalex.org/I69737025"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11926949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9842000007629395,"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":0.984000027179718,"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/anomaly-detection","display_name":"Anomaly detection","score":0.6927463412284851},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6817870140075684},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5673158764839172},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5562564730644226},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5128762722015381},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4955064058303833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48789119720458984},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4744052588939667},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4710685610771179},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1975918412208557}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6927463412284851},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6817870140075684},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5673158764839172},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5562564730644226},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5128762722015381},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4955064058303833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48789119720458984},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4744052588939667},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4710685610771179},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1975918412208557},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2018.8491618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2018.8491618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7699999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334812","display_name":"Comisi\u00f3n Nacional de Investigaci\u00f3n Cient\u00edfica y Tecnol\u00f3gica","ror":"https://ror.org/02ap3w078"},{"id":"https://openalex.org/F4320338106","display_name":"Fondo de Fomento al Desarrollo Cient\u00edfico y Tecnol\u00f3gico","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W150715854","https://openalex.org/W201138236","https://openalex.org/W1943383135","https://openalex.org/W1972728732","https://openalex.org/W2001009159","https://openalex.org/W2001594935","https://openalex.org/W2010997912","https://openalex.org/W2011388517","https://openalex.org/W2020602167","https://openalex.org/W2079402740","https://openalex.org/W2086607946","https://openalex.org/W2094956507","https://openalex.org/W2099064293","https://openalex.org/W2100294832","https://openalex.org/W2116300222","https://openalex.org/W2140586694","https://openalex.org/W2144200194","https://openalex.org/W2152576712","https://openalex.org/W2166429245","https://openalex.org/W2172459978","https://openalex.org/W2235637436","https://openalex.org/W2344434902","https://openalex.org/W2472119793","https://openalex.org/W2481108008","https://openalex.org/W2749287943","https://openalex.org/W3120740533","https://openalex.org/W4256141317","https://openalex.org/W6608319088","https://openalex.org/W6674749460","https://openalex.org/W6720330311"],"related_works":["https://openalex.org/W1973714872","https://openalex.org/W2123401006","https://openalex.org/W2171007908","https://openalex.org/W2099369243","https://openalex.org/W2041399278","https://openalex.org/W2345184372","https://openalex.org/W4223656335","https://openalex.org/W2136184105","https://openalex.org/W2187500075","https://openalex.org/W2163073107"],"abstract_inverted_index":{"Outlier":[0],"detection":[1,19,48,101,118],"is":[2,113,171],"one":[3],"of":[4,27,85,89,122,129,139,167],"the":[5,23,45,60,77,86,116,140,152,156,168,172,195],"main":[6,111],"data":[7,185],"mining":[8],"pre-processing":[9],"tasks":[10],"with":[11],"real-world":[12],"applications":[13],"in":[14,38,55,59,70,120,143,199],"areas":[15],"like,":[16],"e.g.,":[17],"fraud":[18],"or":[20],"medicine,":[21],"where":[22],"`rare":[24],"cases'":[25],"are":[26],"particular":[28],"interest.":[29],"Many":[30],"techniques":[31],"have":[32],"been":[33],"developed":[34],"and":[35,158],"used":[36,182],"successfully":[37],"such":[39],"situations.":[40],"In":[41],"changing":[42],"environments,":[43],"however,":[44],"existing":[46],"outlier":[47,100,117,159],"systems":[49,79],"need":[50],"to":[51,57,75,114,146],"be":[52,181],"regularly":[53],"updated":[54],"order":[56],"describe":[58],"best":[61],"possible":[62],"way":[63],"an":[64,82],"observed":[65],"phenomenon":[66],"at":[67],"each":[68],"point":[69],"time.":[71,163],"Since":[72],"changes":[73,128,154],"lead":[74],"uncertainty,":[76],"respective":[78],"also":[80],"require":[81],"adequate":[83],"modeling":[84],"involved":[87],"kinds":[88],"uncertainty.":[90],"This":[91,134],"paper":[92],"presents":[93],"a":[94],"novel":[95],"model":[96,119,148],"for":[97,183],"unsupervised":[98],"dynamic":[99,200],"called":[102],"Dynamic":[103],"Rough-Fuzzy":[104],"Support":[105,174],"Vector":[106,175],"Domain":[107,176],"Description":[108,177],"(D-RFSVDD).":[109],"Its":[110],"idea":[112],"update":[115],"cycles":[121,145],"newly":[123],"arriving":[124],"observations":[125],"considering":[126],"simultaneously":[127],"past":[130],"observations'":[131],"feature":[132],"values.":[133],"way,":[135],"it":[136],"takes":[137],"advantage":[138],"knowledge":[141],"acquired":[142],"previous":[144],"accelerate":[147],"updating":[149],"while":[150],"tracking":[151],"structural":[153],"that":[155],"target":[157],"classes":[160],"experience":[161],"over":[162],"The":[164],"core":[165],"method":[166],"proposed":[169],"approach":[170],"well-known":[173],"algorithm":[178],"which":[179],"can":[180],"large":[184],"sets":[186],"employing":[187],"powerful":[188],"optimization":[189],"techniques.":[190],"Our":[191],"computational":[192],"experiments":[193],"highlight":[194],"potential":[196],"D-RFSVDD":[197],"has":[198],"environments.":[201]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}