{"id":"https://openalex.org/W2109067452","doi":null,"title":"Using Probabilistic Models for Data Management in Acquisitional Environments","display_name":"Using Probabilistic Models for Data Management in Acquisitional Environments","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2109067452","mag":"2109067452"},"language":"en","primary_location":{"id":"mag:2109067452","doi":null,"is_oa":false,"landing_page_url":"http://cidrdb.org/cidr2005/papers/P26.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306418070","display_name":"Conference on Innovative Data Systems Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Conference on Innovative Data Systems Research","raw_type":null},"volume":null,"type":"conference-paper","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":"https://openalex.org/A5113637223","display_name":"Amol Deshpande","orcid":"https://orcid.org/0000-0001-9545-4459","observed_orcids":["https://orcid.org/0000-0001-9545-4459"]},"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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090739892","display_name":"Carlos Guestrin","orcid":"https://orcid.org/0000-0001-6348-5939","observed_orcids":["https://orcid.org/0000-0001-6348-5939"]},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlos Guestrin","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":"https://orcid.org/0000-0001-6348-5939","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037742794","display_name":"Samuel R. Madden","orcid":"https://orcid.org/0000-0002-7470-3265","observed_orcids":["https://orcid.org/0000-0002-7470-3265","https://orcid.org/0000-0002-0556-1638","https://orcid.org/0000-0003-1097-0732"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel Madden","raw_affiliation_strings":["Massachusetts Institute of Technology"],"raw_orcid":"https://orcid.org/0000-0002-7470-3265","affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.0995,"has_fulltext":false,"cited_by_count":99,"citation_normalized_percentile":{"value":0.98759965,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"317","last_page":"328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11106","display_name":"Data Management and Algorithms","score":0.003000000026077032,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","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"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-models","display_name":"probabilistic models","score":0.800000011920929},{"id":"https://openalex.org/keywords/data-management","display_name":"data management","score":0.5429999828338623},{"id":"https://openalex.org/keywords/noise-immunity","display_name":"noise immunity","score":0.5630000233650208},{"id":"https://openalex.org/keywords/data-loss","display_name":"data loss","score":0.7929999828338623},{"id":"https://openalex.org/keywords/missing-data-estimation","display_name":"missing data estimation","score":0.8709999918937683},{"id":"https://openalex.org/keywords/outlier-detection","display_name":"outlier detection","score":0.9779999852180481},{"id":"https://openalex.org/keywords/approximate-query-answers","display_name":"approximate query answers","score":0.6399999856948853},{"id":"https://openalex.org/keywords/sensor-networks","display_name":"sensor networks","score":0.9229999780654907},{"id":"https://openalex.org/keywords/network-monitoring","display_name":"network monitoring","score":0.9980000257492065},{"id":"https://openalex.org/keywords/data-stream-management","display_name":"data stream management","score":0.9850000143051147},{"id":"https://openalex.org/keywords/database-architecture","display_name":"database architecture","score":0.5149999856948853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8199140429496765},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7322776317596436},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7149795293807983},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.7018744945526123},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6106321215629578},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.47661152482032776},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4669070839881897},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.42326781153678894},{"id":"https://openalex.org/C1668388","wikidata":"https://www.wikidata.org/wiki/Q1149776","display_name":"Data management","level":2,"score":0.42258259654045105},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.418386846780777},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.38581210374832153},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35921114683151245},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25099313259124756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1791217029094696},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2109067452","doi":null,"is_oa":false,"landing_page_url":"http://cidrdb.org/cidr2005/papers/P26.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306418070","display_name":"Conference on Innovative Data Systems Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Conference on Innovative Data Systems Research","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W151966512","https://openalex.org/W1479971791","https://openalex.org/W1497112299","https://openalex.org/W1513861746","https://openalex.org/W1523680690","https://openalex.org/W1556344493","https://openalex.org/W1568191923","https://openalex.org/W1575388622","https://openalex.org/W1603054560","https://openalex.org/W1604499924","https://openalex.org/W1646696449","https://openalex.org/W1650504995","https://openalex.org/W1684311429","https://openalex.org/W1970655212","https://openalex.org/W1979447985","https://openalex.org/W1993482412","https://openalex.org/W2002826893","https://openalex.org/W2020294948","https://openalex.org/W2024400846","https://openalex.org/W2042961981","https://openalex.org/W2061122559","https://openalex.org/W2085942561","https://openalex.org/W2096335861","https://openalex.org/W2097995023","https://openalex.org/W2110557355","https://openalex.org/W2110849300","https://openalex.org/W2112056262","https://openalex.org/W2118828104","https://openalex.org/W2118924829","https://openalex.org/W2119567691","https://openalex.org/W2122410182","https://openalex.org/W2125791539","https://openalex.org/W2126310747","https://openalex.org/W2126333155","https://openalex.org/W2127949150","https://openalex.org/W2130990991","https://openalex.org/W2134779831","https://openalex.org/W2134786002","https://openalex.org/W2135252439","https://openalex.org/W2137083644","https://openalex.org/W2143891888","https://openalex.org/W2151575925","https://openalex.org/W2151722709","https://openalex.org/W2153259545","https://openalex.org/W2155846054","https://openalex.org/W2159080219","https://openalex.org/W2161569281","https://openalex.org/W2165004589","https://openalex.org/W2168865746","https://openalex.org/W2170147331","https://openalex.org/W2171903035","https://openalex.org/W2201552871","https://openalex.org/W2331052961","https://openalex.org/W2341171179","https://openalex.org/W2613161123","https://openalex.org/W3133236490"],"related_works":["https://openalex.org/W7052515810","https://openalex.org/W1512485814","https://openalex.org/W1963853643","https://openalex.org/W7099139427","https://openalex.org/W1557964602","https://openalex.org/W4300657711","https://openalex.org/W2338322935","https://openalex.org/W1559435002","https://openalex.org/W7096268897","https://openalex.org/W2506139631"],"abstract_inverted_index":{"Traditional":[0],"database":[1,43,128],"systems,":[2,129],"particularly":[3],"those":[4],"focused":[5],"on":[6,35,53,133],"capturing":[7,140],"and":[8,24,47,60,80,104],"managing":[9],"data":[10,114,141],"from":[11,107,143],"the":[12,21,90,137,151],"real":[13],"world,":[14],"are":[15,39,51],"poorly":[16],"equipped":[17],"to":[18,41,44,56,69,73,110,113],"deal":[19],"with":[20],"noise,":[22],"loss,":[23],"uncertainty":[25],"in":[26,131],"data.":[27],"We":[28,94,117],"discuss":[29],"a":[30,67,76,82,96,120,147],"suite":[31],"of":[32,84,87,98,139,150],"techniques":[33,50,103],"based":[34,52],"probabilistic":[36],"models":[37,126],"that":[38],"designed":[40],"allow":[42],"tolerate":[45],"noise":[46],"loss.":[48],"These":[49],"exploiting":[54],"correlations":[55,64],"predict":[57],"missing":[58],"values":[59],"identify":[61],"outliers.":[62],"Interestingly,":[63],"also":[65,118],"provide":[66],"way":[68],"give":[70],"approximate":[71],"answers":[72],"users":[74],"at":[75],"significantly":[77],"lower":[78],"cost":[79,138],"enable":[81],"range":[83],"new":[85,102],"types":[86],"queries":[88],"over":[89],"correlation":[91],"structure":[92],"itself.":[93],"illustrate":[95],"host":[97],"applications":[99],"for":[100,123],"our":[101],"queries,":[105],"ranging":[106],"sensor":[108],"networks":[109],"network":[111],"monitoring":[112],"stream":[115],"management.":[116],"present":[119],"unified":[121],"architecture":[122],"integrating":[124],"such":[125],"into":[127],"focusing":[130],"particular":[132],"acquisitional":[134],"systems":[135],"where":[136],"(e.g.,":[142],"sensors)":[144],"is":[145],"itself":[146],"significant":[148],"part":[149],"query":[152],"processing":[153],"cost.":[154]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":7}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2016-06-24T00:00:00"}
