{"id":"https://openalex.org/W4413953529","doi":"https://doi.org/10.14778/3742728.3742753","title":"Robust Plan Evaluation Based on Approximate Probabilistic Machine Learning","display_name":"Robust Plan Evaluation Based on Approximate Probabilistic Machine Learning","publication_year":2025,"publication_date":"2025-04-01","ids":{"openalex":"https://openalex.org/W4413953529","doi":"https://doi.org/10.14778/3742728.3742753"},"language":"en","primary_location":{"id":"doi:10.14778/3742728.3742753","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3742728.3742753","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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/A5054523938","display_name":"Amin Kamali","orcid":"https://orcid.org/0000-0003-2176-4088"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Amin Kamali","raw_affiliation_strings":["University of Ottawa, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"University of Ottawa, Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079101020","display_name":"Verena Kantere","orcid":"https://orcid.org/0000-0002-3586-9406"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Verena Kantere","raw_affiliation_strings":["University of Ottawa, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"University of Ottawa, Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012414288","display_name":"Calisto Zuzarte","orcid":"https://orcid.org/0009-0006-1440-6775"},"institutions":[{"id":"https://openalex.org/I4210113654","display_name":"IBM (Canada)","ror":"https://ror.org/025sxka56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113654"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Calisto Zuzarte","raw_affiliation_strings":["IBM Canada Lab, Markham, Canada"],"affiliations":[{"raw_affiliation_string":"IBM Canada Lab, Markham, Canada","institution_ids":["https://openalex.org/I4210113654"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039285032","display_name":"Vincent Corvinelli","orcid":"https://orcid.org/0009-0008-9597-3070"},"institutions":[{"id":"https://openalex.org/I4210113654","display_name":"IBM (Canada)","ror":"https://ror.org/025sxka56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113654"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Vincent Corvinelli","raw_affiliation_strings":["IBM Canada Lab, Markham, Canada"],"affiliations":[{"raw_affiliation_string":"IBM Canada Lab, Markham, Canada","institution_ids":["https://openalex.org/I4210113654"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054523938"],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28292641,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"8","first_page":"2626","last_page":"2638"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9610999822616577,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9459999799728394,"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/plan","display_name":"Plan (archaeology)","score":0.692189633846283},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6644439697265625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6594597697257996},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5868345499038696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5773075819015503}],"concepts":[{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.692189633846283},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6644439697265625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6594597697257996},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5868345499038696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5773075819015503},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3742728.3742753","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3742728.3742753","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1977570286","https://openalex.org/W2026966899","https://openalex.org/W2035463408","https://openalex.org/W2041563709","https://openalex.org/W2132823934","https://openalex.org/W2143452574","https://openalex.org/W2199153319","https://openalex.org/W2396309311","https://openalex.org/W2518948438","https://openalex.org/W2534032832","https://openalex.org/W2586565108","https://openalex.org/W2612690371","https://openalex.org/W2613226836","https://openalex.org/W2617837836","https://openalex.org/W2806395320","https://openalex.org/W2888876958","https://openalex.org/W2914584698","https://openalex.org/W2949595278","https://openalex.org/W2970148517","https://openalex.org/W3012023297","https://openalex.org/W3013555795","https://openalex.org/W3014596384","https://openalex.org/W3032560301","https://openalex.org/W3084428871","https://openalex.org/W3099273181","https://openalex.org/W3134774296","https://openalex.org/W3183048323","https://openalex.org/W3197977787","https://openalex.org/W3207801254","https://openalex.org/W4250631613","https://openalex.org/W4253542405","https://openalex.org/W4285451014","https://openalex.org/W4286447321","https://openalex.org/W4317641620","https://openalex.org/W4366492480","https://openalex.org/W4386148280","https://openalex.org/W4390681984"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Query":[0,75],"optimizers":[1],"in":[2,28,97,163],"RDBMSs":[3],"search":[4],"for":[5,12,66,107,124],"execution":[6,146],"plans":[7,34],"expected":[8],"to":[9,58,140],"be":[10],"optimal":[11],"given":[13],"queries.":[14],"They":[15],"use":[16],"parameter":[17],"estimates,":[18],"often":[19],"inaccurate,":[20],"and":[21,42,103,110,122,128,147,151],"make":[22],"assumptions":[23,43],"that":[24,35,137,158],"may":[25,32],"not":[26,45,50],"hold":[27],"practice.":[29],"Consequently,":[30],"they":[31,48],"select":[33],"are":[36,44],"suboptimal":[37],"at":[38],"runtime,":[39],"if":[40],"estimates":[41],"valid.":[46],"Therefore,":[47],"do":[49],"sufficiently":[51],"support":[52],"robust":[53,164],"query":[54,67,101,125,145,153,165],"optimization.":[55,68],"Using":[56],"ML":[57],"improve":[59],"data":[60],"systems":[61],"has":[62],"shown":[63],"promising":[64],"results":[65],"Inspired":[69],"by":[70],"this,":[71],"we":[72],"propose":[73],"Robust":[74],"Optimizer,":[76],"(Roq),":[77],"a":[78,83,89,104,132],"holistic":[79],"framework":[80],"based":[81,112],"on":[82,113],"risk-aware":[84],"learning":[85],"approach.":[86],"Roq":[87,130,159],"includes":[88,119,131],"novel":[90,120,133],"formalization":[91],"of":[92,95,100,144],"the":[93,98,142,148,169],"notion":[94],"robustness":[96],"context":[99],"optimization":[102,154,166],"principled":[105],"approach":[106],"its":[108],"quantification":[109],"measurement":[111],"approximate":[114],"probabilistic":[115],"ML.":[116],"It":[117],"also":[118],"strategies":[121],"algorithms":[123],"plan":[126],"evaluation":[127],"selection.":[129],"learned":[134],"cost":[135,143],"model":[136],"is":[138],"designed":[139],"predict":[141],"associated":[149],"risks":[150],"performs":[152],"accordingly.":[155],"We":[156],"demonstrate":[157],"provides":[160],"significant":[161],"improvements":[162],"compared":[167],"with":[168],"state-of-the-art.":[170]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}