{"id":"https://openalex.org/W3186007264","doi":"https://doi.org/10.1155/2021/8693978","title":"Equation Chapter 1 Section 1 Differentially Private High\u2010Dimensional Binary Data Publication via Adaptive Bayesian Network","display_name":"Equation Chapter 1 Section 1 Differentially Private High\u2010Dimensional Binary Data Publication via Adaptive Bayesian Network","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3186007264","doi":"https://doi.org/10.1155/2021/8693978","mag":"3186007264"},"language":"en","primary_location":{"id":"doi:10.1155/2021/8693978","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/8693978","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2021/8693978.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/wcmc/2021/8693978.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013758823","display_name":"Sun Lan","orcid":"https://orcid.org/0000-0002-9583-6040"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sun Lan","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China","College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023649607","display_name":"Jinxin Hong","orcid":"https://orcid.org/0000-0001-6596-8926"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxin Hong","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China","College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061180609","display_name":"Junya Chen","orcid":"https://orcid.org/0000-0002-3431-1857"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junya Chen","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China","College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001657111","display_name":"Jianping Cai","orcid":"https://orcid.org/0000-0003-1575-8239"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Cai","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101652201","display_name":"Yilei Wang","orcid":"https://orcid.org/0000-0003-1826-6707"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yilei Wang","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101652201"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.136,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53845207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"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":0.995199978351593,"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":0.9782000184059143,"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/computer-science","display_name":"Computer science","score":0.7793552875518799},{"id":"https://openalex.org/keywords/section","display_name":"Section (typography)","score":0.773176908493042},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6738503575325012},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5996485948562622},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5230361223220825},{"id":"https://openalex.org/keywords/binary-data","display_name":"Binary data","score":0.46278196573257446},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3377779722213745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19056522846221924},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10453358292579651},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.05724075436592102}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7793552875518799},{"id":"https://openalex.org/C2780129039","wikidata":"https://www.wikidata.org/wiki/Q1931107","display_name":"Section (typography)","level":2,"score":0.773176908493042},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6738503575325012},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5996485948562622},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5230361223220825},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.46278196573257446},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3377779722213745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19056522846221924},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10453358292579651},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.05724075436592102},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/8693978","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/8693978","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2021/8693978.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:dbffeeb3d7994e1bbd1afcc5606b1d2c","is_oa":true,"landing_page_url":"https://doaj.org/article/dbffeeb3d7994e1bbd1afcc5606b1d2c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wireless Communications and Mobile Computing, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/8693978","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/8693978","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2021/8693978.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3186007264.pdf","grobid_xml":"https://content.openalex.org/works/W3186007264.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1873763122","https://openalex.org/W1993924693","https://openalex.org/W2009331946","https://openalex.org/W2096803423","https://openalex.org/W2096870293","https://openalex.org/W2122290076","https://openalex.org/W2128082768","https://openalex.org/W2134167315","https://openalex.org/W2136114025","https://openalex.org/W2159024459","https://openalex.org/W2164341199","https://openalex.org/W2165157425","https://openalex.org/W2907016746","https://openalex.org/W2911978475","https://openalex.org/W3005426343","https://openalex.org/W3006406986","https://openalex.org/W4234726042","https://openalex.org/W4249480695"],"related_works":["https://openalex.org/W2154693897","https://openalex.org/W104621197","https://openalex.org/W2094988397","https://openalex.org/W2018164323","https://openalex.org/W2018596126","https://openalex.org/W2083580028","https://openalex.org/W1980535114","https://openalex.org/W2063706985","https://openalex.org/W4233766581","https://openalex.org/W2004653872"],"abstract_inverted_index":{"When":[0],"using":[1],"differential":[2,56,113],"privacy":[3,57,114],"to":[4,12,23,49,63,75,92,106,117,123,136,168],"publish":[5,64],"high\u2010dimensional":[6,17,35,65,165],"data,":[7,19],"the":[8,50,55,77,84,88,108,119,133,138,170],"huge":[9],"dimensionality":[10],"leads":[11],"greater":[13],"noise.":[14,28],"Especially":[15],"for":[16,148],"binary":[18,66,166],"it":[20,101],"is":[21],"easy":[22],"be":[24],"covered":[25],"by":[26],"excessive":[27],"Most":[29],"existing":[30],"methods":[31],"cannot":[32],"address":[33],"real":[34],"data":[36],"problems":[37,51],"appropriately":[38],"because":[39],"they":[40],"suffer":[41],"from":[42,91],"high":[43],"time":[44,85],"complexity.":[45],"Therefore,":[46],"in":[47],"response":[48],"above,":[52],"we":[53,131,158],"propose":[54],"adaptive":[58,104],"Bayesian":[59,80,128,134],"network":[60,135],"algorithm":[61,69,74,90,105],"PrivABN":[62],"data.":[67],"This":[68,150],"uses":[70,102,111],"a":[71,112,125,145],"new":[72],"greedy":[73],"accelerate":[76],"construction":[78],"of":[79,87],"networks,":[81],"which":[82],"reduces":[83],"complexity":[86],"GreedyBayes":[89],"O":[93],"(":[94],"n":[95],"m":[96],"4":[97],").":[98],"In":[99],"addition,":[100],"an":[103],"adjust":[107],"structure":[109],"and":[110,143],"Exponential":[115],"mechanism":[116],"preserve":[118],"privacy,":[120],"so":[121],"as":[122],"generate":[124,144],"high\u2010quality":[126],"protected":[127],"network.":[129],"Moreover,":[130],"use":[132],"calculate":[137],"conditional":[139],"distribution":[140],"with":[141],"noise":[142],"synthetic":[146,151],"dataset":[147,152],"publication.":[149],"satisfies":[153],"\u03b5":[154],"\u2010differential":[155],"privacy.":[156],"Lastly,":[157],"carry":[159],"out":[160],"experiments":[161],"against":[162],"three":[163],"real\u2010life":[164],"datasets":[167],"evaluate":[169],"functional":[171],"performance.":[172]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
