{"id":"https://openalex.org/W2519689982","doi":"https://doi.org/10.1109/cscwd.2016.7565966","title":"Utility enhanced anonymization for incomplete microdata","display_name":"Utility enhanced anonymization for incomplete microdata","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2519689982","doi":"https://doi.org/10.1109/cscwd.2016.7565966","mag":"2519689982"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd.2016.7565966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd.2016.7565966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"},"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/A5080873420","display_name":"Qiyuan Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiyuan Gong","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China","Science and Technology on Communication Security Laboratory, Chendu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Science and Technology on Communication Security Laboratory, Chendu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100708940","display_name":"Ming Yang","orcid":"https://orcid.org/0000-0002-8209-1000"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Yang","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China","Science and Technology on Communication Security Laboratory, Chendu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Science and Technology on Communication Security Laboratory, Chendu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003071181","display_name":"Zhouguo Chen","orcid":"https://orcid.org/0000-0002-4063-963X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhouguo Chen","raw_affiliation_strings":["Science and Technology on Communication Security Laboratory, Chendu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Communication Security Laboratory, Chendu, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045275291","display_name":"Junzhou Luo","orcid":"https://orcid.org/0000-0001-7518-4367"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junzhou Luo","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1941,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.48709779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"74","last_page":"79"},"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":0.9929999709129333,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/microdata","display_name":"Microdata (statistics)","score":0.9554772973060608},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.750440776348114},{"id":"https://openalex.org/keywords/data-anonymization","display_name":"Data anonymization","score":0.7165488004684448},{"id":"https://openalex.org/keywords/mondrian","display_name":"Mondrian","score":0.7078200578689575},{"id":"https://openalex.org/keywords/information-loss","display_name":"Information loss","score":0.6308026313781738},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5726252198219299},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5413342714309692},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23440957069396973},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.22018539905548096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1900148093700409},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1325814425945282},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.08302012085914612}],"concepts":[{"id":"https://openalex.org/C2778355071","wikidata":"https://www.wikidata.org/wiki/Q1933849","display_name":"Microdata (statistics)","level":4,"score":0.9554772973060608},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.750440776348114},{"id":"https://openalex.org/C2776945810","wikidata":"https://www.wikidata.org/wiki/Q17006654","display_name":"Data anonymization","level":3,"score":0.7165488004684448},{"id":"https://openalex.org/C2779075496","wikidata":"https://www.wikidata.org/wiki/Q6898824","display_name":"Mondrian","level":3,"score":0.7078200578689575},{"id":"https://openalex.org/C2988416141","wikidata":"https://www.wikidata.org/wiki/Q6031139","display_name":"Information loss","level":2,"score":0.6308026313781738},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5726252198219299},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5413342714309692},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23440957069396973},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.22018539905548096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1900148093700409},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1325814425945282},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.08302012085914612},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"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/C205783811","wikidata":"https://www.wikidata.org/wiki/Q11629","display_name":"Painting","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C52130261","wikidata":"https://www.wikidata.org/wiki/Q39825","display_name":"Census","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd.2016.7565966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd.2016.7565966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1523742470","https://openalex.org/W1983958448","https://openalex.org/W2009536104","https://openalex.org/W2019855535","https://openalex.org/W2059900053","https://openalex.org/W2098331493","https://openalex.org/W2119047901","https://openalex.org/W2120582309","https://openalex.org/W2123453946","https://openalex.org/W2132223977","https://openalex.org/W2134167315","https://openalex.org/W2135581534","https://openalex.org/W2136114025","https://openalex.org/W2142291269","https://openalex.org/W2142406320","https://openalex.org/W2159024459","https://openalex.org/W2161030490","https://openalex.org/W2161229593","https://openalex.org/W6674367641"],"related_works":["https://openalex.org/W1965799257","https://openalex.org/W2327077209","https://openalex.org/W2370714061","https://openalex.org/W2753525591","https://openalex.org/W2519689982","https://openalex.org/W2593093245","https://openalex.org/W3160477996","https://openalex.org/W4310918612","https://openalex.org/W2240719064","https://openalex.org/W2310363298"],"abstract_inverted_index":{"Although":[0],"a":[1],"variety":[2],"of":[3,16,43,92],"anonymization":[4],"approaches":[5,30],"have":[6],"been":[7],"proposed":[8],"to":[9,31,40],"achieve":[10,77],"anonymity":[11],"during":[12],"data":[13,79,88],"sharing,":[14],"few":[15],"them":[17],"can":[18],"handle":[19],"incomplete":[20,32,82],"microdata,":[21],"i.e.":[22],"microdata":[23,33],"with":[24],"missing":[25,44,54],"values.":[26,45],"Directly":[27],"applying":[28],"existing":[29],"will":[34],"incur":[35],"extensive":[36],"information":[37],"loss,":[38],"due":[39],"the":[41,90],"existence":[42],"In":[46],"this":[47,51],"paper,":[48],"we":[49,66],"formulate":[50],"problem":[52],"as":[53],"value":[55],"pollution,":[56],"and":[57,74],"analysis":[58],"its":[59],"influences":[60],"on":[61,81,86],"generalization":[62],"based":[63],"algorithms.":[64],"Then":[65],"propose":[67],"two":[68],"top-down":[69],"algorithms":[70],"named":[71],"Enhanced":[72],"Mondrian":[73],"Semi-Partition,":[75],"which":[76],"high":[78],"utility":[80],"microdata.":[83],"Extensive":[84],"experiments":[85],"real-world":[87],"show":[89],"effectiveness":[91],"our":[93],"approach.":[94]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}