{"id":"https://openalex.org/W2525426423","doi":"https://doi.org/10.1109/tkde.2016.2613538","title":"Efficient Sensitivity Analysis for Inequality Queries in Probabilistic Databases","display_name":"Efficient Sensitivity Analysis for Inequality Queries in Probabilistic Databases","publication_year":2016,"publication_date":"2016-09-26","ids":{"openalex":"https://openalex.org/W2525426423","doi":"https://doi.org/10.1109/tkde.2016.2613538","mag":"2525426423"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2016.2613538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2613538","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"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 Knowledge and Data Engineering","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/A5102713872","display_name":"Biao Qin","orcid":"https://orcid.org/0000-0002-4304-675X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Biao Qin","raw_affiliation_strings":["Department of Computer Science, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075642293","display_name":"Jeffrey Xu Yu","orcid":"https://orcid.org/0000-0002-9738-827X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jeffrey Xu Yu","raw_affiliation_strings":["Department of System Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of System Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102713872"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":0.2546,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5434172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"29","issue":"1","first_page":"86","last_page":"99"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9983999729156494,"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":0.9980000257492065,"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/tuple","display_name":"Tuple","score":0.8137307167053223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7401982545852661},{"id":"https://openalex.org/keywords/probabilistic-database","display_name":"Probabilistic database","score":0.5941084027290344},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5387000441551208},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4836364984512329},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.46976327896118164},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.42006003856658936},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4005950093269348},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.24934476613998413},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2117539346218109},{"id":"https://openalex.org/keywords/database-theory","display_name":"Database theory","score":0.21009284257888794},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20224881172180176},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.16527879238128662},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11696138978004456}],"concepts":[{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.8137307167053223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7401982545852661},{"id":"https://openalex.org/C174539288","wikidata":"https://www.wikidata.org/wiki/Q7246853","display_name":"Probabilistic database","level":4,"score":0.5941084027290344},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5387000441551208},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4836364984512329},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46976327896118164},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.42006003856658936},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4005950093269348},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.24934476613998413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2117539346218109},{"id":"https://openalex.org/C12439846","wikidata":"https://www.wikidata.org/wiki/Q4809258","display_name":"Database theory","level":3,"score":0.21009284257888794},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20224881172180176},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.16527879238128662},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11696138978004456}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2016.2613538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2613538","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"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 Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/126995","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/126995","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.44999998807907104,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4348755701","display_name":null,"funder_award_id":"61472425","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W90796608","https://openalex.org/W1486776102","https://openalex.org/W1552694902","https://openalex.org/W1862784933","https://openalex.org/W1983178058","https://openalex.org/W1991249762","https://openalex.org/W1992609556","https://openalex.org/W2020774087","https://openalex.org/W2023076960","https://openalex.org/W2024921361","https://openalex.org/W2029138824","https://openalex.org/W2049199200","https://openalex.org/W2078686663","https://openalex.org/W2079785597","https://openalex.org/W2081541855","https://openalex.org/W2109912197","https://openalex.org/W2112525359","https://openalex.org/W2114334214","https://openalex.org/W2118370002","https://openalex.org/W2120342618","https://openalex.org/W2124026371","https://openalex.org/W2124647958","https://openalex.org/W2125806118","https://openalex.org/W2138414767","https://openalex.org/W2140757415","https://openalex.org/W2144562386","https://openalex.org/W2166916904","https://openalex.org/W2284810639","https://openalex.org/W2292011317","https://openalex.org/W2293299776","https://openalex.org/W2998654680","https://openalex.org/W4246687862","https://openalex.org/W6629041467","https://openalex.org/W6676826531","https://openalex.org/W6680722260","https://openalex.org/W6684648153"],"related_works":["https://openalex.org/W1774414873","https://openalex.org/W2000084727","https://openalex.org/W2744606804","https://openalex.org/W2103934874","https://openalex.org/W4238495367","https://openalex.org/W2125434953","https://openalex.org/W2749065928","https://openalex.org/W2128160835","https://openalex.org/W4288558710","https://openalex.org/W2952920395"],"abstract_inverted_index":{"In":[0,134],"this":[1,135],"paper,":[2,136],"we":[3,117,137,159,179],"study":[4],"inequality":[5,140,172,220,232],"query":[6,145,191,205],"(IQ":[7],"query)":[8],"processing":[9],"in":[10,113,123,130,193,247],"tuple":[11,102,121],"independent":[12],"probabilistic":[13],"databases,":[14],"where":[15,116,196],"IQ":[16,34,144,190,204,272],"queries":[17,58],"can":[18,206,222],"be":[19,207,223,244],"categorized":[20],"into":[21,147,162,225],"IQ-path,":[22],"IQ-tree,":[23],"and":[24,96,126,167,177,216,230,255,269],"IQ-graph":[25,57],"queries.":[26,35,273],"We":[27,249],"focus":[28],"on":[29,89],"two":[30,114],"related":[31],"issues":[32],"for":[33,265],"One":[36],"issue":[37,63],"is":[38,59,64,80,103,198],"to":[39,55,65,81,187,237,258],"efficiently":[40,66],"compute":[41],"their":[42,68],"probabilities,":[43],"with":[44],"the":[45,48,52,90,97,106,109,120,131,139,154,199,231,245,260,267],"observation":[46],"that":[47,85,119],"time":[49,194],"complexity":[50],"of":[51,92,99,142,165,201,239,262,271],"state-of-the-art":[53],"algorithm":[54,184,264],"process":[56,188],"high.":[60],"The":[61],"other":[62,132],"perform":[67],"sensitivity":[69,78],"analysis,":[70],"which":[71,152],"has":[72],"not":[73,128],"been":[74],"studied":[75],"before.":[76],"Here,":[77],"analysis":[79],"identify":[82],"input":[83,101],"tuples":[84],"have":[86],"high":[87],"influence":[88,98],"probability":[91],"an":[93,100,143,189],"answer":[94],"tuple,":[95],"defined":[104],"as":[105],"difference":[107],"between":[108],"output":[110],"probabilities":[111,268],"obtained":[112],"cases,":[115],"assume":[118],"exists":[122],"one":[124,171],"case":[125],"does":[127],"exist":[129],"one.":[133],"compile":[138],"conditions":[141,221,233],"q":[146,161,192],"a":[148,163,181,226],"compilation":[149,175,227],"tree":[150,176,228],"T,":[151],"encodes":[153],"Shannon":[155],"expansion":[156],"order.":[157],"Moreover,":[158],"split":[160],"set":[164],"subqueries":[166],"each":[168],"contains":[169],"only":[170,217],"condition.":[173],"Using":[174],"decomposition,":[178],"introduce":[180],"dynamic":[182],"programming":[183],"called":[185],"Dec":[186],"O(I\u03a6I),":[195],"\u03a6":[197],"lineage":[200],"q.":[202],"An":[203],"processed":[208],"by":[209],"our":[210,263],"D":[211],"<sub":[212],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[213],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">ec</sub>":[214],"if":[215,218],"its":[219,240],"compiled":[224],"T":[229],"from":[234],"any":[235],"node":[236],"all":[238],"child":[241],"nodes":[242],"must":[243],"same":[246],"T.":[248],"conduct":[250],"extensive":[251],"experiments":[252],"using":[253],"real":[254],"synthetic":[256],"datasets":[257],"demonstrate":[259],"efficiency":[261],"computing":[266],"influences":[270]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
