{"id":"https://openalex.org/W2118370002","doi":"https://doi.org/10.1145/1989323.1989411","title":"Sensitivity analysis and explanations for robust query evaluation in probabilistic databases","display_name":"Sensitivity analysis and explanations for robust query evaluation in probabilistic databases","publication_year":2011,"publication_date":"2011-06-12","ids":{"openalex":"https://openalex.org/W2118370002","doi":"https://doi.org/10.1145/1989323.1989411","mag":"2118370002"},"language":"en","primary_location":{"id":"doi:10.1145/1989323.1989411","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1989323.1989411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 ACM SIGMOD International Conference on Management of data","raw_type":"proceedings-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/A5057677675","display_name":"Bhargav Kanagal","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bhargav Kanagal","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402527","display_name":"Jian Li","orcid":"https://orcid.org/0000-0002-6521-5956"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Li","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113637223","display_name":"Amol Deshpande","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amol Deshpande","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057677675"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":16.4035,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.98841148,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"841","last_page":"852"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.996999979019165,"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/T11719","display_name":"Data Quality and Management","score":0.9955000281333923,"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/tuple","display_name":"Tuple","score":0.9308396577835083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7527023553848267},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7393845319747925},{"id":"https://openalex.org/keywords/probabilistic-database","display_name":"Probabilistic database","score":0.7063233852386475},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.64361172914505},{"id":"https://openalex.org/keywords/boolean-conjunctive-query","display_name":"Boolean conjunctive query","score":0.5542546510696411},{"id":"https://openalex.org/keywords/uncertain-data","display_name":"Uncertain data","score":0.5537600517272949},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5262383818626404},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.511693000793457},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4832971394062042},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.4802408814430237},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4733814299106598},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4161018133163452},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.3133196234703064},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.296000599861145},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.2245195508003235},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.20992723107337952},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.1774340569972992},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15730401873588562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14418858289718628},{"id":"https://openalex.org/keywords/database-theory","display_name":"Database theory","score":0.138960063457489},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.07936221361160278}],"concepts":[{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.9308396577835083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7527023553848267},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7393845319747925},{"id":"https://openalex.org/C174539288","wikidata":"https://www.wikidata.org/wiki/Q7246853","display_name":"Probabilistic database","level":4,"score":0.7063233852386475},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.64361172914505},{"id":"https://openalex.org/C24755975","wikidata":"https://www.wikidata.org/wiki/Q4943354","display_name":"Boolean conjunctive query","level":5,"score":0.5542546510696411},{"id":"https://openalex.org/C2778865114","wikidata":"https://www.wikidata.org/wiki/Q7882489","display_name":"Uncertain data","level":2,"score":0.5537600517272949},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5262383818626404},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.511693000793457},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4832971394062042},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4802408814430237},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4733814299106598},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4161018133163452},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.3133196234703064},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.296000599861145},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.2245195508003235},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.20992723107337952},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.1774340569972992},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15730401873588562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14418858289718628},{"id":"https://openalex.org/C12439846","wikidata":"https://www.wikidata.org/wiki/Q4809258","display_name":"Database theory","level":3,"score":0.138960063457489},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.07936221361160278},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1989323.1989411","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1989323.1989411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 ACM SIGMOD International Conference on Management of data","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.230.8698","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.230.8698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.umd.edu/%7Ebhargav/sigmod509-kanagal.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.363.7136","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.363.7136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.umd.edu/~lijian/paper/sigmod509-kanagal.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W109146425","https://openalex.org/W180909918","https://openalex.org/W1486776102","https://openalex.org/W1488272912","https://openalex.org/W1539278744","https://openalex.org/W1552694902","https://openalex.org/W1575805590","https://openalex.org/W1591593356","https://openalex.org/W1625152357","https://openalex.org/W1753658588","https://openalex.org/W1945638812","https://openalex.org/W1963853643","https://openalex.org/W1999432334","https://openalex.org/W2011039300","https://openalex.org/W2015906942","https://openalex.org/W2044494469","https://openalex.org/W2049199200","https://openalex.org/W2078686663","https://openalex.org/W2083613374","https://openalex.org/W2092819480","https://openalex.org/W2094837707","https://openalex.org/W2098720114","https://openalex.org/W2102349221","https://openalex.org/W2103269600","https://openalex.org/W2114157818","https://openalex.org/W2119681685","https://openalex.org/W2120825705","https://openalex.org/W2124026371","https://openalex.org/W2124647958","https://openalex.org/W2125806118","https://openalex.org/W2129035130","https://openalex.org/W2137819283","https://openalex.org/W2143485006","https://openalex.org/W2144810465","https://openalex.org/W2149906774","https://openalex.org/W2150365139","https://openalex.org/W2153508518","https://openalex.org/W2161123625","https://openalex.org/W2167541073","https://openalex.org/W2171776999","https://openalex.org/W2293299776","https://openalex.org/W6604418727","https://openalex.org/W6629449378","https://openalex.org/W6682435157"],"related_works":["https://openalex.org/W2113053869","https://openalex.org/W3020377904","https://openalex.org/W2595721259","https://openalex.org/W2118370002","https://openalex.org/W2147835952","https://openalex.org/W2114334214","https://openalex.org/W3170346938","https://openalex.org/W2468850460","https://openalex.org/W2595974764","https://openalex.org/W3047081115"],"abstract_inverted_index":{"Probabilistic":[0],"database":[1],"systems":[2,112],"have":[3,64,160],"successfully":[4],"established":[5],"themselves":[6],"as":[7],"a":[8,130,150,169,212],"tool":[9],"for":[10,47,77,211,256],"managing":[11],"uncertain":[12,39],"data.":[13],"However,":[14,144],"much":[15],"of":[16,71,116,118,136,190,203,209,214,253],"the":[17,69,73,78,87,94,107,114,119,125,134,137,141,176,188,199,206,251],"research":[18],"in":[19,38,55,122],"this":[20,53,61,165],"area":[21],"has":[22,29],"focused":[23],"on":[24,140],"efficient":[25,233],"query":[26,48,183,259],"evaluation":[27,235],"and":[28,153,192,194,205,224],"largely":[30],"ignored":[31],"two":[32],"key":[33],"issues":[34,177],"that":[35,90,172],"commonly":[36],"arise":[37],"data":[40],"management:":[41],"First,":[42],"how":[43],"to":[44,85,124,180,197],"provide":[45,113,149,195],"explanations":[46,193,210],"results,":[49],"e.g.,":[50,81],"Why":[51,59],"is":[52,129,155,244],"tuple":[54,63,139],"my":[56],"result?":[57],"or":[58],"does":[60,146],"output":[62,120,126,138,162],"such":[65],"high":[66],"probability?.":[67],"Second,":[68],"problem":[70],"determining":[72],"sensitive":[74],"input":[75,88,108,142,237],"tuples":[76,89,121],"given":[79],"query,":[80],"users":[82],"are":[83,99,239],"interested":[84],"know":[86],"can":[91,173],"substantially":[92],"alter":[93],"output,":[95],"when":[96,158,236],"their":[97],"probabilities":[98,238],"modified":[100,240],"(since":[101],"they":[102],"may":[103],"be":[104],"unsure":[105],"about":[106],"probability":[109],"values).":[110],"Existing":[111],"lineage/provenance":[115],"each":[117],"addition":[123],"probabilities,":[127],"which":[128],"boolean":[131],"formula":[132],"indicating":[133],"dependence":[135],"tuples.":[143,163],"lineage":[145],"not":[147,156],"immediately":[148],"quantitative":[151],"relationship":[152],"it":[154],"informative":[157],"we":[159,167],"multiple":[161],"In":[164],"paper,":[166],"propose":[168],"unified":[170],"framework":[171,229,255],"handle":[174],"both":[175],"mentioned":[178],"above":[179],"facilitate":[181],"robust":[182,258],"processing.":[184],"We":[185],"formally":[186],"define":[187],"notions":[189],"influence":[191],"algorithms":[196],"determine":[198],"top-l":[200,207],"influential":[201],"set":[202,208],"variables":[204],"variety":[213],"queries,":[215,218,221],"including":[216],"conjunctive":[217],"probabilistic":[219,262],"threshold":[220],"top-k":[222],"queries":[223],"aggregation":[225],"queries.":[226],"Further,":[227],"our":[228,254],"naturally":[230],"enables":[231],"highly":[232],"incremental":[234],"(e.g.,":[241],"if":[242],"uncertainty":[243],"resolved).":[245],"Our":[246],"preliminary":[247],"experimental":[248],"results":[249],"demonstrate":[250],"benefits":[252],"performing":[257],"processing":[260],"over":[261],"databases.":[263]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
