{"id":"https://openalex.org/W2169515716","doi":"https://doi.org/10.1109/fuzzy.2006.1681816","title":"Establishing a benchmark for re-identification methods and its validation using fuzzy clustering","display_name":"Establishing a benchmark for re-identification methods and its validation using fuzzy clustering","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2169515716","doi":"https://doi.org/10.1109/fuzzy.2006.1681816","mag":"2169515716"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2006.1681816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2006.1681816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Fuzzy Systems","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/A5076985479","display_name":"Vicen\u00e7 Torra","orcid":"https://orcid.org/0000-0002-0368-8037"},"institutions":[{"id":"https://openalex.org/I4210131846","display_name":"Artificial Intelligence Research Institute","ror":"https://ror.org/03c0ach84","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210131846"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"V. Torra","raw_affiliation_strings":["IIIA-CSIC, Catalonia, Spain"],"affiliations":[{"raw_affiliation_string":"IIIA-CSIC, Catalonia, Spain","institution_ids":["https://openalex.org/I4210131846"]}]},{"author_position":"last","author":{"id":null,"display_name":"J. Domingo-Ferrer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. Domingo-Ferrer","raw_affiliation_strings":["Department Enginyeria Inform\u00e0tica i Matem\u00e0tique, URV, Catalonia, Spain"],"affiliations":[{"raw_affiliation_string":"Department Enginyeria Inform\u00e0tica i Matem\u00e0tique, URV, Catalonia, Spain","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076985479"],"corresponding_institution_ids":["https://openalex.org/I4210131846"],"apc_list":null,"apc_paid":null,"fwci":0.4373,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71559633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3050","issue":null,"first_page":"887","last_page":"893"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9980999827384949,"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/T11106","display_name":"Data Management and Algorithms","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.7958329319953918},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.780972421169281},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7602533102035522},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.6665586829185486},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.652809202671051},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6441103219985962},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5697965621948242},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5672926902770996},{"id":"https://openalex.org/keywords/confidentiality","display_name":"Confidentiality","score":0.5089025497436523},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.43643510341644287},{"id":"https://openalex.org/keywords/data-security","display_name":"Data security","score":0.41923320293426514},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29843807220458984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23244640231132507},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.15847045183181763},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.087069571018219},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.0825396180152893}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7958329319953918},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.780972421169281},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7602533102035522},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.6665586829185486},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.652809202671051},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6441103219985962},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5697965621948242},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5672926902770996},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.5089025497436523},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.43643510341644287},{"id":"https://openalex.org/C10511746","wikidata":"https://www.wikidata.org/wiki/Q899388","display_name":"Data security","level":3,"score":0.41923320293426514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29843807220458984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23244640231132507},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.15847045183181763},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.087069571018219},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0825396180152893},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2006.1681816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2006.1681816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6800000071525574,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W46452414","https://openalex.org/W78596176","https://openalex.org/W174929247","https://openalex.org/W1524446290","https://openalex.org/W1537246647","https://openalex.org/W1560978096","https://openalex.org/W1567927814","https://openalex.org/W1585974897","https://openalex.org/W1610496399","https://openalex.org/W1703676130","https://openalex.org/W1832295310","https://openalex.org/W1917499246","https://openalex.org/W1973166102","https://openalex.org/W2008896880","https://openalex.org/W2038721957","https://openalex.org/W2054713718","https://openalex.org/W2076291573","https://openalex.org/W2113076747","https://openalex.org/W2127772210","https://openalex.org/W2129049169","https://openalex.org/W2152321995","https://openalex.org/W2157060173","https://openalex.org/W2913519381","https://openalex.org/W4235505822","https://openalex.org/W4247346963","https://openalex.org/W4285719527","https://openalex.org/W6603177106","https://openalex.org/W6636177537","https://openalex.org/W6639924009"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W1963566478","https://openalex.org/W1577128260"],"abstract_inverted_index":{"Privacy":[0],"preserving":[1],"data":[2,24,30,42,52,62,104,131],"mining":[3],"and":[4,51,84,99,129],"statistical":[5],"disclosure":[6],"control":[7],"are":[8,43],"related":[9],"fields":[10],"with":[11],"increasing":[12],"importance":[13],"nowadays.":[14],"They":[15],"aim":[16],"is":[17,110],"to":[18,59,67,92],"allow":[19],"the":[20,27,68,71,75,93,100,124],"publication":[21],"of":[22,29,70,103,126],"sensible":[23],"without":[25],"compromising":[26],"privacy":[28],"respondents.":[31],"To":[32],"that":[33,41,48,63],"end,":[34],"masking":[35,127],"methods":[36,55,82,128],"have":[37,56,64],"been":[38,57,88],"designed":[39],"so":[40],"distorted":[44],"in":[45,80,106],"a":[46],"way":[47],"preserves":[49],"confidentiality":[50],"utility.":[53],"Alternatively,":[54],"constructed":[58],"generate":[60],"synthetic":[61,130],"properties":[65],"similar":[66],"ones":[69],"original":[72],"data.":[73],"At":[74],"same":[76],"time,":[77],"recent":[78],"research":[79],"re-identification":[81,117],"(record":[83],"variable":[85],"matching)":[86],"has":[87],"pushed":[89],"forward":[90],"due":[91],"current":[94],"interest":[95],"on":[96],"security":[97],"issues":[98],"huge":[101],"amount":[102],"stored":[105],"databases.":[107],"However,":[108],"there":[109],"no":[111],"standard":[112],"methodology":[113],"for":[114,133,136],"comparing":[115],"alternative":[116],"methods.":[118,138],"In":[119],"this":[120],"paper":[121],"we":[122],"propose":[123],"use":[125],"generators":[132],"building":[134],"benchmarks":[135],"matching":[137],"We":[139],"validate":[140],"our":[141],"approach":[142],"using":[143],"fuzzy":[144],"clustering.":[145]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
