{"id":"https://openalex.org/W2292108044","doi":null,"title":"Privacy-preserving Bayesian network parameter learning","display_name":"Privacy-preserving Bayesian network parameter learning","publication_year":2005,"publication_date":"2005-11-17","ids":{"openalex":"https://openalex.org/W2292108044","mag":"2292108044"},"language":"en","primary_location":{"id":"mag:2292108044","doi":null,"is_oa":false,"landing_page_url":"http://www.wseas.us/e-library/conferences/2005miami/papers/501-261.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4210233262","display_name":"Computational intelligence","issn_l":"2522-0519","issn":["2522-0519","2522-0527"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Computational intelligence","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jianjie Ma","orcid":"https://orcid.org/0000-0003-3865-6112","observed_orcids":["https://orcid.org/0000-0003-3865-6112"]},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianjie Ma","raw_affiliation_strings":["School of EECS, Washington State Univ., Pullman, WA"],"raw_orcid":"https://orcid.org/0000-0003-3865-6112","affiliations":[{"raw_affiliation_string":"School of EECS, Washington State Univ., Pullman, WA","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030898251","display_name":"Krishnamoorthy Sivakumar","orcid":"https://orcid.org/0000-0002-4026-7768","observed_orcids":["https://orcid.org/0000-0002-4026-7768"]},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krishnamoorthy Sivakumar","raw_affiliation_strings":["School of EECS, Washington State Univ., Pullman, WA"],"raw_orcid":"https://orcid.org/0000-0002-4026-7768","affiliations":[{"raw_affiliation_string":"School of EECS, Washington State Univ., Pullman, WA","institution_ids":["https://openalex.org/I72951846"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I72951846"],"apc_list":null,"apc_paid":null,"fwci":0.666,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73044613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9994999766349792,"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":0.9994999766349792,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":9.999999747378752e-05,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-network-parameter-learning","display_name":"Bayesian network parameter learning","score":0.8899999856948853},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"privacy preservation","score":0.8230000138282776},{"id":"https://openalex.org/keywords/heterogeneous-distributed-databases","display_name":"heterogeneous distributed databases","score":0.9190000295639038},{"id":"https://openalex.org/keywords/privacy-sensitive-data","display_name":"privacy-sensitive data","score":0.8370000123977661},{"id":"https://openalex.org/keywords/data-anonymization","display_name":"data anonymization","score":0.49000000953674316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7756748199462891},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6614574790000916},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5842090845108032},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5523154735565186},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5378457903862},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5284737348556519},{"id":"https://openalex.org/C101112237","wikidata":"https://www.wikidata.org/wiki/Q4874481","display_name":"Bayesian statistics","level":4,"score":0.4959298074245453},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.49574312567710876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4806627035140991},{"id":"https://openalex.org/C99173435","wikidata":"https://www.wikidata.org/wiki/Q4874469","display_name":"Bayesian experimental design","level":5,"score":0.44163233041763306},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.3433193862438202},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2292108044","doi":null,"is_oa":false,"landing_page_url":"http://www.wseas.us/e-library/conferences/2005miami/papers/501-261.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4210233262","display_name":"Computational intelligence","issn_l":"2522-0519","issn":["2522-0519","2522-0527"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Computational intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1484075742","https://openalex.org/W1999602050","https://openalex.org/W2002352982","https://openalex.org/W2061451531","https://openalex.org/W2130099852","https://openalex.org/W2141625084","https://openalex.org/W2159024459"],"related_works":["https://openalex.org/W57757189","https://openalex.org/W7100138246","https://openalex.org/W7096175391","https://openalex.org/W7101055291","https://openalex.org/W1484075742","https://openalex.org/W2109302384","https://openalex.org/W4387544254","https://openalex.org/W2156334208","https://openalex.org/W1689237997","https://openalex.org/W2102066916"],"abstract_inverted_index":{"Privacy":[0],"is":[1,51],"an":[2],"important":[3],"issue":[4],"in":[5],"data":[6,16,49],"mining.":[7],"Learning":[8],"a":[9,19,30,52,82],"Bayesian":[10,36,59],"network":[11,37,60],"(BN)":[12],"from":[13,39,47,69],"privacy":[14],"sensitive":[15],"has":[17],"been":[18],"recent":[20],"research":[21],"topic.":[22],"In":[23],"this":[24],"paper,":[25],"we":[26],"propose":[27],"to":[28,34],"use":[29],"post":[31],"randomization":[32],"technique":[33],"learn":[35,90],"parameters":[38,92],"distributed":[40],"heterogeneous":[41],"databases.":[42],"The":[43,62],"only":[44],"required":[45],"information":[46],"the":[48,66,70,91],"set":[50,53],"of":[54,85],"sufficient":[55,67],"statistics":[56,68],"for":[57],"learning":[58],"parameters.":[61],"proposed":[63],"method":[64,88],"estimates":[65],"randomized":[71],"data.":[72],"We":[73],"show":[74],"both":[75],"theoretically":[76],"and":[77],"experimentally":[78],"that,":[79],"even":[80],"with":[81],"large":[83],"level":[84],"randomization,":[86],"our":[87],"can":[89],"accurately.":[93]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-09-27T08:07:27.782135","created_date":"2016-06-24T00:00:00"}