{"id":"https://openalex.org/W2172459978","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7337882","title":"Rough-Fuzzy Support Vector Domain Description for outlier detection","display_name":"Rough-Fuzzy Support Vector Domain Description for outlier detection","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2172459978","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7337882","mag":"2172459978"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2015.7337882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7337882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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, Universidad de Chile, Santiago de Chile"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Universidad de Chile, Santiago de Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065440857","display_name":"Richard Weber Haas","orcid":null},"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 Haas","raw_affiliation_strings":["Department of Industrial Engineering, Universidad de Chile, Santiago de Chile"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, 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":1.7258,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.88493788,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9936000108718872,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/hypersphere","display_name":"Hypersphere","score":0.9019860029220581},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5747148394584656},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5366126298904419},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5287981629371643},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5030514597892761},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49268513917922974},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4768342077732086},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4504823684692383},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.43604737520217896},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4247353971004486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41970905661582947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4063778519630432},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33682405948638916},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.092511385679245}],"concepts":[{"id":"https://openalex.org/C2776562905","wikidata":"https://www.wikidata.org/wiki/Q306610","display_name":"Hypersphere","level":2,"score":0.9019860029220581},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5747148394584656},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5366126298904419},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5287981629371643},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5030514597892761},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49268513917922974},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4768342077732086},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4504823684692383},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.43604737520217896},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4247353971004486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41970905661582947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4063778519630432},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33682405948638916},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.092511385679245}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2015.7337882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7337882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/10"}],"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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W133672555","https://openalex.org/W1943383135","https://openalex.org/W2015995560","https://openalex.org/W2038565761","https://openalex.org/W2079402740","https://openalex.org/W2086607946","https://openalex.org/W2094956507","https://openalex.org/W2100294832","https://openalex.org/W2107373450","https://openalex.org/W2126966660","https://openalex.org/W2137130182","https://openalex.org/W2138745909","https://openalex.org/W2140586694","https://openalex.org/W2171169306","https://openalex.org/W2235637436","https://openalex.org/W2912565176","https://openalex.org/W3120740533","https://openalex.org/W4211007335","https://openalex.org/W4255833381","https://openalex.org/W6689718779"],"related_works":["https://openalex.org/W2099702253","https://openalex.org/W2059484267","https://openalex.org/W347275077","https://openalex.org/W2499612753","https://openalex.org/W1983643426","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729"],"abstract_inverted_index":{"We":[0],"present":[1],"Rough-Fuzzy":[2],"Support":[3,61],"Vector":[4,62],"Domain":[5,63],"Description":[6,64],"(RFSVDD),":[7],"a":[8,15,19,38,42,95],"novel":[9],"data":[10,20,31,51],"description":[11],"algorithm":[12],"that":[13,53,86],"provides":[14],"rough-fuzzy":[16],"characterization":[17],"of":[18,49,69,90,99,117],"set":[21],"and":[22,41],"shows":[23],"its":[24,80,122],"potential":[25,123],"for":[26,124],"outlier":[27,125],"detection.":[28,126],"Its":[29],"resulting":[30],"structure":[32],"is":[33,76],"characterized":[34],"by":[35,59],"two":[36],"components:":[37],"crisp":[39],"lower-approximation":[40,47],"fuzzy":[43,74],"boundary.":[44],"While":[45],"the":[46,56,66,73,83,88,91,109,115,118],"consists":[48],"those":[50],"points":[52],"lie":[54],"inside":[55],"hypersphere,":[57],"obtained":[58],"traditional":[60],"(SVDD),":[65],"membership":[67,101],"degree":[68],"each":[70],"element":[71],"in":[72],"boundary":[75],"calculated":[77],"based":[78],"on":[79],"closeness":[81],"to":[82],"support":[84],"vectors":[85],"define":[87],"frontier":[89],"lower-approximation.":[92],"This":[93],"implies":[94],"quite":[96],"natural":[97],"way":[98],"determining":[100],"values":[102],"without":[103],"assuming":[104],"any":[105],"prior":[106],"knowledge":[107],"about":[108],"data.":[110],"Our":[111],"computational":[112],"experiments":[113],"emphasize":[114],"strength":[116],"proposed":[119],"approach":[120],"underlining":[121]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}