{"id":"https://openalex.org/W2142291269","doi":"https://doi.org/10.1007/978-3-540-71703-4_18","title":"Efficient k-Anonymization Using Clustering Techniques","display_name":"Efficient k-Anonymization Using Clustering Techniques","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2142291269","doi":"https://doi.org/10.1007/978-3-540-71703-4_18","mag":"2142291269"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-71703-4_18","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-71703-4_18","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5052934112","display_name":"Ji-Won Byun","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ji-Won Byun","raw_affiliation_strings":["CERIAS and Computer Science, Purdue University, \u00a0","CERIAS and Computer Science, Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CERIAS and Computer Science, Purdue University, \u00a0","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"CERIAS and Computer Science, Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000023738","display_name":"Ashish Kamra","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashish Kamra","raw_affiliation_strings":["CERIAS and Electrical and Computer Engineering, Purdue University, \u00a0","CERIAS and Electrical and Computer Engineering, Purdue University,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CERIAS and Electrical and Computer Engineering, Purdue University, \u00a0","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"CERIAS and Electrical and Computer Engineering, Purdue University,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061694501","display_name":"Elisa Bertino","orcid":"https://orcid.org/0000-0002-4029-7051"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elisa Bertino","raw_affiliation_strings":["CERIAS and Computer Science, Purdue University, \u00a0","CERIAS and Computer Science, Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CERIAS and Computer Science, Purdue University, \u00a0","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"CERIAS and Computer Science, Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101471208","display_name":"Ninghui Li","orcid":"https://orcid.org/0000-0001-8207-9717"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ninghui Li","raw_affiliation_strings":["CERIAS and Computer Science, Purdue University, \u00a0","CERIAS and Computer Science, Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CERIAS and Computer Science, Purdue University, \u00a0","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"CERIAS and Computer Science, Purdue University","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":14.2475,"has_fulltext":false,"cited_by_count":329,"citation_normalized_percentile":{"value":0.99420495,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"188","last_page":"200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T10237","display_name":"Cryptography and Data Security","score":0.9955000281333923,"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/T11719","display_name":"Data Quality and Management","score":0.9779000282287598,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7833304405212402},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6733653545379639},{"id":"https://openalex.org/keywords/information-loss","display_name":"Information loss","score":0.6478227972984314},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6250057220458984},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.610465943813324},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.5395410060882568},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5296278595924377},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.4856623411178589},{"id":"https://openalex.org/keywords/k-anonymity","display_name":"k-anonymity","score":0.4563785493373871},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4496128261089325},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4223797023296356},{"id":"https://openalex.org/keywords/data-anonymization","display_name":"Data anonymization","score":0.41916564106941223},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.4162184000015259},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26117855310440063},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.21083134412765503},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20529374480247498},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17750254273414612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17445698380470276},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08539420366287231}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7833304405212402},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6733653545379639},{"id":"https://openalex.org/C2988416141","wikidata":"https://www.wikidata.org/wiki/Q6031139","display_name":"Information loss","level":2,"score":0.6478227972984314},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6250057220458984},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.610465943813324},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.5395410060882568},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5296278595924377},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.4856623411178589},{"id":"https://openalex.org/C2777706471","wikidata":"https://www.wikidata.org/wiki/Q17061432","display_name":"k-anonymity","level":3,"score":0.4563785493373871},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4496128261089325},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4223797023296356},{"id":"https://openalex.org/C2776945810","wikidata":"https://www.wikidata.org/wiki/Q17006654","display_name":"Data anonymization","level":3,"score":0.41916564106941223},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.4162184000015259},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26117855310440063},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.21083134412765503},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20529374480247498},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17750254273414612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17445698380470276},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08539420366287231},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/978-3-540-71703-4_18","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-71703-4_18","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:docs.lib.purdue.edu:ccpubs-1243","is_oa":false,"landing_page_url":"https://docs.lib.purdue.edu/ccpubs/258","pdf_url":null,"source":{"id":"https://openalex.org/S4377196310","display_name":"Purdue e-Pubs (Purdue University System)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801333002","host_organization_name":"Purdue University System","host_organization_lineage":["https://openalex.org/I2801333002"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cyber Center Publications","raw_type":"text"},{"id":"pmh:oai:docs.lib.purdue.edu:ccpubs-1274","is_oa":false,"landing_page_url":"https://docs.lib.purdue.edu/ccpubs/268","pdf_url":null,"source":{"id":"https://openalex.org/S4377196310","display_name":"Purdue e-Pubs (Purdue University System)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801333002","host_organization_name":"Purdue University System","host_organization_lineage":["https://openalex.org/I2801333002"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cyber Center Publications","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.158.4661","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.4661","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cerias.purdue.edu/ssl/techreports-ssl/bhr261577503lx81.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.83.5149","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.83.5149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.purdue.edu/homes/ninghui/papers/clustering_dasfaa07.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1544579602","https://openalex.org/W1973264045","https://openalex.org/W1981961329","https://openalex.org/W2000473687","https://openalex.org/W2022860157","https://openalex.org/W2041025307","https://openalex.org/W2046020929","https://openalex.org/W2046776785","https://openalex.org/W2052806235","https://openalex.org/W2067566391","https://openalex.org/W2067858436","https://openalex.org/W2073471108","https://openalex.org/W2084812512","https://openalex.org/W2093367651","https://openalex.org/W2118587067","https://openalex.org/W2119047901","https://openalex.org/W2119067110","https://openalex.org/W2120582309","https://openalex.org/W2127218421","https://openalex.org/W2134479759","https://openalex.org/W2135581534","https://openalex.org/W2138745909","https://openalex.org/W2139979322","https://openalex.org/W2149230623","https://openalex.org/W2159024459","https://openalex.org/W2161030490","https://openalex.org/W2161229593","https://openalex.org/W2162105856","https://openalex.org/W2896340204","https://openalex.org/W2912642709","https://openalex.org/W2982720039","https://openalex.org/W2999729612","https://openalex.org/W4230686833","https://openalex.org/W4251697274"],"related_works":["https://openalex.org/W2098331493","https://openalex.org/W2073216087","https://openalex.org/W2113844214","https://openalex.org/W1985313039","https://openalex.org/W2767039082","https://openalex.org/W2310363298","https://openalex.org/W2735807361","https://openalex.org/W2197747611","https://openalex.org/W2327077209","https://openalex.org/W2735562896"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":21},{"year":2017,"cited_by_count":22},{"year":2016,"cited_by_count":25},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":19},{"year":2013,"cited_by_count":17},{"year":2012,"cited_by_count":25}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}