{"id":"https://openalex.org/W2155141930","doi":"https://doi.org/10.1109/cicybs.2011.5949405","title":"Discrimination prevention in data mining for intrusion and crime detection","display_name":"Discrimination prevention in data mining for intrusion and crime detection","publication_year":2011,"publication_date":"2011-04-01","ids":{"openalex":"https://openalex.org/W2155141930","doi":"https://doi.org/10.1109/cicybs.2011.5949405","mag":"2155141930"},"language":"en","primary_location":{"id":"doi:10.1109/cicybs.2011.5949405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cicybs.2011.5949405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)","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/A5021836148","display_name":"Sara Hajian","orcid":"https://orcid.org/0000-0002-6451-2211"},"institutions":[{"id":"https://openalex.org/I55952717","display_name":"Universitat Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Sara Hajian","raw_affiliation_strings":["Department of Computer Engineering and Maths, UNESCO, Universitat Rovira i Virgili, Catalonia, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Maths, UNESCO, Universitat Rovira i Virgili, Catalonia, Spain","institution_ids":["https://openalex.org/I55952717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051455237","display_name":"Josep Domingo\u2010Ferrer","orcid":"https://orcid.org/0000-0001-7213-4962"},"institutions":[{"id":"https://openalex.org/I55952717","display_name":"Universitat Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Josep Domingo-Ferrer","raw_affiliation_strings":["Department of Computer Engineering and Maths, UNESCO, Universitat Rovira i Virgili, Catalonia, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Maths, UNESCO, Universitat Rovira i Virgili, Catalonia, Spain","institution_ids":["https://openalex.org/I55952717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091382020","display_name":"Antoni Mart\u00ednez-Ballest\u00e9","orcid":"https://orcid.org/0000-0002-1787-7410"},"institutions":[{"id":"https://openalex.org/I55952717","display_name":"Universitat Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antoni Martinez-Balleste","raw_affiliation_strings":["Department of Computer Engineering and Maths, UNESCO, Universitat Rovira i Virgili, Catalonia, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Maths, UNESCO, Universitat Rovira i Virgili, Catalonia, Spain","institution_ids":["https://openalex.org/I55952717"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021836148"],"corresponding_institution_ids":["https://openalex.org/I55952717"],"apc_list":null,"apc_paid":null,"fwci":10.5237,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.98289371,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"47","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9965000152587891,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9965000152587891,"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/T10574","display_name":"Crime Patterns and Interventions","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12519","display_name":"Cybercrime and Law Enforcement Studies","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7084915041923523},{"id":"https://openalex.org/keywords/intrusion","display_name":"Intrusion","score":0.5996918678283691},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5927526950836182},{"id":"https://openalex.org/keywords/race","display_name":"Race (biology)","score":0.5592582821846008},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4759242832660675},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4665752351284027},{"id":"https://openalex.org/keywords/insurance-fraud","display_name":"Insurance fraud","score":0.4308249354362488},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40782204270362854},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.25348961353302},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.08645528554916382}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7084915041923523},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.5996918678283691},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5927526950836182},{"id":"https://openalex.org/C76509639","wikidata":"https://www.wikidata.org/wiki/Q918036","display_name":"Race (biology)","level":2,"score":0.5592582821846008},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4759242832660675},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4665752351284027},{"id":"https://openalex.org/C2778976927","wikidata":"https://www.wikidata.org/wiki/Q838081","display_name":"Insurance fraud","level":2,"score":0.4308249354362488},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40782204270362854},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.25348961353302},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.08645528554916382},{"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},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cicybs.2011.5949405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cicybs.2011.5949405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.41999998688697815}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321505","display_name":"Generalitat de Catalunya","ror":"https://ror.org/01bg62x04"},{"id":"https://openalex.org/F4320322121","display_name":"Instituci\u00f3 Catalana de Recerca i Estudis Avan\u00e7ats","ror":"https://ror.org/0371hy230"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W789959438","https://openalex.org/W1506285740","https://openalex.org/W1566253826","https://openalex.org/W1593806347","https://openalex.org/W1977493358","https://openalex.org/W1999380087","https://openalex.org/W2026019770","https://openalex.org/W2040620802","https://openalex.org/W2071672226","https://openalex.org/W2095576022","https://openalex.org/W2097246321","https://openalex.org/W2137344466","https://openalex.org/W2145234462","https://openalex.org/W4285719527","https://openalex.org/W6622901033","https://openalex.org/W6630198464","https://openalex.org/W6681247209"],"related_works":["https://openalex.org/W2492471733","https://openalex.org/W4395679069","https://openalex.org/W3013012681","https://openalex.org/W2361887085","https://openalex.org/W4403657938","https://openalex.org/W2364419519","https://openalex.org/W2133389611","https://openalex.org/W2360767377","https://openalex.org/W2017948608","https://openalex.org/W2360951146"],"abstract_inverted_index":{"Automated":[0],"data":[1,8,26],"collection":[2],"has":[3],"fostered":[4],"the":[5],"use":[6],"of":[7,34],"mining":[9,25,62],"for":[10],"intrusion":[11],"and":[12,109],"crime":[13,84],"detection.":[14],"Indeed,":[15],"banks,":[16],"large":[17],"corporations,":[18],"insurance":[19],"companies,":[20],"casinos,":[21],"etc.":[22],"are":[23,44],"increasingly":[24],"about":[27],"their":[28],"customers":[29],"or":[30,39,58,66,83,99],"employees":[31],"in":[32,52,69,112],"view":[33],"detecting":[35],"potential":[36],"intrusion,":[37,81],"fraud":[38,82],"even":[40],"crime.":[41],"Mining":[42],"algorithms":[43],"trained":[45],"from":[46,88,93],"datasets":[47,108,111],"which":[48],"may":[49],"be":[50,86,122],"biased":[51],"what":[53],"regards":[54],"gender,":[55,97],"race,":[56],"religion":[57],"other":[59],"attributes.":[60],"Furthermore,":[61],"is":[63],"often":[64],"outsourced":[65,110],"carried":[67],"out":[68],"cooperation":[70],"by":[71],"several":[72],"entities.":[73],"For":[74],"those":[75],"reasons,":[76],"discrimination":[77],"concerns":[78],"arise.":[79],"Potential":[80],"should":[85],"inferred":[87],"objective":[89],"misbehavior,":[90],"rather":[91],"than":[92],"sensitive":[94,129],"attributes":[95,130],"like":[96],"race":[98],"religion.":[100],"This":[101],"paper":[102],"discusses":[103],"how":[104],"to":[105],"clean":[106],"training":[107],"such":[113],"a":[114],"way":[115],"that":[116],"legitimate":[117],"classification":[118],"rules":[119,126],"can":[120],"still":[121],"extracted":[123],"but":[124],"discriminating":[125],"based":[127],"on":[128],"cannot.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
