{"id":"https://openalex.org/W3174053645","doi":"https://doi.org/10.1145/3448016.3452771","title":"Transforming ML Predictive Pipelines into SQL with MASQ","display_name":"Transforming ML Predictive Pipelines into SQL with MASQ","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3174053645","doi":"https://doi.org/10.1145/3448016.3452771","mag":"3174053645"},"language":"en","primary_location":{"id":"doi:10.1145/3448016.3452771","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448016.3452771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Management of Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11380/1248873","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063748915","display_name":"Francesco Del Buono","orcid":"https://orcid.org/0000-0003-0024-2563"},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Francesco Del Buono","raw_affiliation_strings":["Universit\u00e0 di Modena e Reggio Emilia, Modena, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 di Modena e Reggio Emilia, Modena, Italy","institution_ids":["https://openalex.org/I122346577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037298798","display_name":"Matteo Paganelli","orcid":"https://orcid.org/0000-0001-8119-895X"},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Paganelli","raw_affiliation_strings":["Universit\u00e0 di Modena e Reggio Emilia, Modena, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 di Modena e Reggio Emilia, Modena, Italy","institution_ids":["https://openalex.org/I122346577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091323421","display_name":"Paolo Sottovia","orcid":"https://orcid.org/0000-0002-4830-579X"},"institutions":[{"id":"https://openalex.org/I4210166625","display_name":"Huawei German Research Center","ror":"https://ror.org/00z59w514","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353","https://openalex.org/I4210166625"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Paolo Sottovia","raw_affiliation_strings":["Huawei, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Huawei, Munich, Germany","institution_ids":["https://openalex.org/I4210166625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071206013","display_name":"Matteo Interlandi","orcid":"https://orcid.org/0000-0002-5756-8321"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matteo Interlandi","raw_affiliation_strings":["Microsoft, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Seattle, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005665643","display_name":"Francesco Guerra","orcid":"https://orcid.org/0000-0001-6864-568X"},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Guerra","raw_affiliation_strings":["Universit\u00e0 di Modena e Reggio Emilia, Modena, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 di Modena e Reggio Emilia, Modena, Italy","institution_ids":["https://openalex.org/I122346577"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5063748915"],"corresponding_institution_ids":["https://openalex.org/I122346577"],"apc_list":null,"apc_paid":null,"fwci":0.6999,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75889356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2696","last_page":"2700"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9832000136375427,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9832000136375427,"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/T10320","display_name":"Neural Networks and Applications","score":0.9763000011444092,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/pipeline-transport","display_name":"Pipeline transport","score":0.5831111073493958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.511118471622467},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22124910354614258},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.08458232879638672}],"concepts":[{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.5831111073493958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.511118471622467},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22124910354614258},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.08458232879638672}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3448016.3452771","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448016.3452771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Management of Data","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unimore.it:11380/1248873","is_oa":true,"landing_page_url":"http://hdl.handle.net/11380/1248873","pdf_url":null,"source":{"id":"https://openalex.org/S4377196326","display_name":"Iris Unimore (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:iris.unimore.it:11380/1248873","is_oa":true,"landing_page_url":"http://hdl.handle.net/11380/1248873","pdf_url":null,"source":{"id":"https://openalex.org/S4377196326","display_name":"Iris Unimore (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2044849727","https://openalex.org/W2090850279","https://openalex.org/W2189162242","https://openalex.org/W2972016218","https://openalex.org/W2989078842"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Inference":[0],"of":[1,9,25,29,47,90,143],"Machine":[2],"Learning":[3],"(ML)":[4],"models,":[5,14],"i.e.":[6],"the":[7,26,76,88,151,166,171,178,182,186],"process":[8],"obtaining":[10],"predictions":[11],"from":[12],"trained":[13,95,152],"is":[15,22,40],"often":[16],"an":[17],"overlooked":[18],"problem.":[19],"Model":[20],"inference":[21,46],"however":[23],"one":[24],"main":[27],"contributors":[28],"both":[30],"technical":[31],"debt":[32],"in":[33,101,165],"ML":[34,48,98,140,147,183],"applications":[35],"and":[36,83,97,114,146,156,163,168],"infrastructure":[37],"complexity.":[38],"MASQ":[39,53,93],"a":[41,68,133],"framework":[42,184],"able":[43],"to":[44],"run":[45],"models":[49,96],"directly":[50,103],"on":[51,67,121,159,181],"DBMSs.":[52],"not":[54],"only":[55],"averts":[56],"expensive":[57],"data":[58,65,144],"movements":[59],"for":[60],"those":[61],"predictive":[62],"scenarios":[63],"where":[64],"resides":[66],"database,":[69],"but":[70],"it":[71],"also":[72],"naturally":[73],"exploits":[74],"all":[75],"\"Enterprise-grade\"":[77],"features":[78],"such":[79],"as":[80],"governance,":[81],"security":[82],"auditability":[84],"which":[85],"make":[86],"DBMSs":[87,161],"cornerstone":[89],"many":[91],"businesses.":[92],"compiles":[94],"pipelines":[99,141,153],"implemented":[100],"scikit-learn":[102],"into":[104,154],"standard":[105],"SQL:":[106],"no":[107],"UDFs":[108],"nor":[109],"vendor-specific":[110],"syntax":[111],"are":[112],"used,":[113],"therefore":[115],"queries":[116],"can":[117],"be":[118],"readily":[119],"executed":[120],"any":[122],"DBMS.":[123],"In":[124],"this":[125],"demo,":[126],"we":[127],"will":[128],"showcase":[129],"MASQ's":[130],"capabilities":[131],"through":[132],"GUI":[134],"allowing":[135],"attendees":[136],"to:":[137],"(1)":[138],"train":[139],"composed":[142],"featurizers":[145],"models;":[148],"(2)":[149],"compile":[150],"SQL,":[155],"deploy":[157],"them":[158],"different":[160,175],"(MySQL":[162],"SQLServer":[164],"demo);":[167],"(3)":[169],"compare":[170],"related":[172],"performance":[173],"under":[174],"configurations":[176],"(e.g.,":[177],"original":[179],"pipeline":[180],"against":[185],"SQL":[187],"implementations).":[188]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2021-07-05T00:00:00"}
