{"id":"https://openalex.org/W2028469817","doi":"https://doi.org/10.1109/tdsc.2007.70217","title":"Practical Inference Control for Data Cubes","display_name":"Practical Inference Control for Data Cubes","publication_year":2008,"publication_date":"2008-04-01","ids":{"openalex":"https://openalex.org/W2028469817","doi":"https://doi.org/10.1109/tdsc.2007.70217","mag":"2028469817"},"language":"en","primary_location":{"id":"doi:10.1109/tdsc.2007.70217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2007.70217","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-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/A5060287641","display_name":"Haibing Lu","orcid":"https://orcid.org/0000-0003-0266-6191"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haibing Lu","raw_affiliation_strings":["Management Science and Information Systems Department, Rutgers University, Newark, NJ, USA","Dept. of Manage. Sci. & Inf. Syst., Rutgers Univ., Newark, NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Management Science and Information Systems Department, Rutgers University, Newark, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Dept. of Manage. Sci. & Inf. Syst., Rutgers Univ., Newark, NJ","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045050946","display_name":"Yingjiu Li","orcid":"https://orcid.org/0000-0001-8256-6988"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yingjiu Li","raw_affiliation_strings":["School of Information Systems, Singapore Management University, Singapore, Singapore","School of Information Systems, Singapore Management University,Singapore,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Systems, Singapore Management University, Singapore, Singapore","institution_ids":["https://openalex.org/I79891267"]},{"raw_affiliation_string":"School of Information Systems, Singapore Management University,Singapore,Singapore","institution_ids":["https://openalex.org/I79891267"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7512,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87312045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":"2","first_page":"87","last_page":"98"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9979000091552734,"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":0.9979000091552734,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9684000015258789,"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/inference","display_name":"Inference","score":0.66180419921875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6294225454330444},{"id":"https://openalex.org/keywords/cube","display_name":"Cube (algebra)","score":0.6061806678771973},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5317389369010925},{"id":"https://openalex.org/keywords/unit-cube","display_name":"Unit cube","score":0.49327749013900757},{"id":"https://openalex.org/keywords/data-cube","display_name":"Data cube","score":0.4853052496910095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3905092179775238},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3692573308944702},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3385393023490906},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1870591640472412},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.18626976013183594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09666875004768372}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.66180419921875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6294225454330444},{"id":"https://openalex.org/C53051483","wikidata":"https://www.wikidata.org/wiki/Q861555","display_name":"Cube (algebra)","level":2,"score":0.6061806678771973},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5317389369010925},{"id":"https://openalex.org/C60432849","wikidata":"https://www.wikidata.org/wiki/Q2072112","display_name":"Unit cube","level":2,"score":0.49327749013900757},{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.4853052496910095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3905092179775238},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3692573308944702},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3385393023490906},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1870591640472412},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.18626976013183594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09666875004768372},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tdsc.2007.70217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2007.70217","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.705.2973","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.705.2973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://webpages.scu.edu/ftp/hlu/research/paper2.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7799999713897705,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W44739693","https://openalex.org/W56293434","https://openalex.org/W161036899","https://openalex.org/W1479724550","https://openalex.org/W1481488041","https://openalex.org/W1535505269","https://openalex.org/W1564530234","https://openalex.org/W1587001421","https://openalex.org/W1828675711","https://openalex.org/W1846130260","https://openalex.org/W1882297107","https://openalex.org/W1989799419","https://openalex.org/W1999602050","https://openalex.org/W2003684191","https://openalex.org/W2009233040","https://openalex.org/W2022079499","https://openalex.org/W2023401109","https://openalex.org/W2044307594","https://openalex.org/W2052754975","https://openalex.org/W2055725320","https://openalex.org/W2072764742","https://openalex.org/W2086324413","https://openalex.org/W2103201239","https://openalex.org/W2104543956","https://openalex.org/W2104840966","https://openalex.org/W2113427031","https://openalex.org/W2117247700","https://openalex.org/W2119047901","https://openalex.org/W2125099941","https://openalex.org/W2129751437","https://openalex.org/W2129820757","https://openalex.org/W2148588096","https://openalex.org/W2151472800","https://openalex.org/W2157774701","https://openalex.org/W2164064970","https://openalex.org/W2164341199","https://openalex.org/W2569676014","https://openalex.org/W3213156550","https://openalex.org/W4244155092","https://openalex.org/W4285719527","https://openalex.org/W6602294163","https://openalex.org/W6639126849","https://openalex.org/W6677629735","https://openalex.org/W6803819370"],"related_works":["https://openalex.org/W2157063282","https://openalex.org/W4211092025","https://openalex.org/W1973869677","https://openalex.org/W2377321178","https://openalex.org/W1582972698","https://openalex.org/W1964212383","https://openalex.org/W4287070155","https://openalex.org/W2054156290","https://openalex.org/W2002527724","https://openalex.org/W4297914777"],"abstract_inverted_index":{"The":[0,107],"fundamental":[1,147],"problem":[2],"for":[3,19,41,97],"inference":[4],"control":[5],"in":[6,45,54,82,102,115,136],"data":[7,48,52,100],"cubes":[8,49,53],"is":[9,134],"how":[10],"to":[11,61,91,145],"efficiently":[12],"calculate":[13],"the":[14,24,37,68,79,93,103,112,116,146],"lower":[15],"and":[16,164,166],"upper":[17],"bounds":[18,44,70,81,96,114,121],"each":[20],"cell":[21,27,57],"value":[22],"given":[23],"aggregations":[25],"of":[26,78,138,158],"values":[28,58],"over":[29],"multiple":[30],"dimensions.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35,149],"provide":[36],"first":[38],"practical":[39],"solution":[40],"estimating":[42],"exact":[43,69],"two-dimensional":[46],"irregular":[47],"(that":[50],"is,":[51],"which":[55],"certain":[56],"are":[59,123],"known":[60],"a":[62,75,88],"snooper).":[63],"Our":[64],"results":[65],"imply":[66],"that":[67,118,122],"cannot":[71],"be":[72],"obtained":[73],"by":[74,131],"direct":[76],"application":[77],"Frechet":[80,95,113,132],"some":[83,168],"cases.":[84],"We":[85],"then":[86],"propose":[87],"new":[89],"approach":[90,109],"improve":[92],"classic":[94],"any":[98],"high-dimensional":[99],"cube":[101],"most":[104],"general":[105],"case.":[106],"proposed":[108],"improves":[110],"upon":[111],"sense":[117],"it":[119],"gives":[120],"at":[124],"least":[125],"as":[126,128,155],"tight":[127],"those":[129],"computed":[130],"yet":[133],"simpler":[135],"terms":[137],"time":[139],"complexity.":[140],"Based":[141],"on":[142],"our":[143],"solutions":[144],"problem,":[148],"discuss":[150],"various":[151],"security":[152],"applications":[153],"such":[154],"privacy":[156],"protection":[157],"released":[159],"data,":[160],"fine-grained":[161],"access":[162],"control,":[163],"auditing,":[165],"identify":[167],"future":[169],"research":[170],"directions.":[171]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
