{"id":"https://openalex.org/W2945539433","doi":"https://doi.org/10.1145/3329859.3329876","title":"Towards learning a partitioning advisor with deep reinforcement learning","display_name":"Towards learning a partitioning advisor with deep reinforcement learning","publication_year":2019,"publication_date":"2019-05-24","ids":{"openalex":"https://openalex.org/W2945539433","doi":"https://doi.org/10.1145/3329859.3329876","mag":"2945539433"},"language":"en","primary_location":{"id":"doi:10.1145/3329859.3329876","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3329859.3329876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management","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/A5065513658","display_name":"Benjamin Hilprecht","orcid":"https://orcid.org/0000-0003-4935-7118"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Benjamin Hilprecht","raw_affiliation_strings":["TU Darmstadt"],"affiliations":[{"raw_affiliation_string":"TU Darmstadt","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073504200","display_name":"Carsten Binnig","orcid":"https://orcid.org/0000-0002-2744-7836"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Carsten Binnig","raw_affiliation_strings":["TU Darmstadt"],"affiliations":[{"raw_affiliation_string":"TU Darmstadt","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110209646","display_name":"Uwe R\u00f6hm","orcid":null},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Uwe R\u00f6hm","raw_affiliation_strings":["University of Sydney"],"affiliations":[{"raw_affiliation_string":"University of Sydney","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065513658"],"corresponding_institution_ids":["https://openalex.org/I31512782"],"apc_list":null,"apc_paid":null,"fwci":2.7488,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.92498958,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9950000047683716,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9950000047683716,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.987500011920929,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9817000031471252,"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/computer-science","display_name":"Computer science","score":0.8447322845458984},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8055382370948792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6312258243560791},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.48394113779067993},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4319485127925873},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42549893260002136}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8447322845458984},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8055382370948792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6312258243560791},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.48394113779067993},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4319485127925873},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42549893260002136}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3329859.3329876","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3329859.3329876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management","raw_type":"proceedings-article"},{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:119074","is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/119074/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Konferenzver\u00f6ffentlichung"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1515851193","https://openalex.org/W1553825122","https://openalex.org/W1971885140","https://openalex.org/W1997375126","https://openalex.org/W2105252819","https://openalex.org/W2121863487","https://openalex.org/W2140342613","https://openalex.org/W2145339207","https://openalex.org/W2613136061","https://openalex.org/W3021961968"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3046775127"],"abstract_inverted_index":{"In":[0,16,46],"this":[1],"paper":[2],"we":[3,58],"introduce":[4],"a":[5,51],"partitioning":[6,23,63,80],"advisor":[7,64],"for":[8,21,43,77],"analytical":[9],"workloads":[10],"based":[11,31],"on":[12,32],"Deep":[13],"Reinforcement":[14],"Learning.":[15],"contrast":[17],"to":[18,70,85],"existing":[19,75],"approaches":[20,76],"automated":[22,78],"design,":[24],"an":[25],"RL":[26],"agent":[27],"learns":[28],"its":[29],"decisions":[30],"experience":[33],"by":[34],"trying":[35],"out":[36],"different":[37,44],"partitionings":[38,72],"and":[39,54],"monitoring":[40],"the":[41],"rewards":[42],"workloads.":[45],"our":[47,61],"experimental":[48],"evaluation":[49],"with":[50],"distributed":[52],"database":[53],"various":[55],"complex":[56],"schemata,":[57],"show":[59],"that":[60,73],"learned":[62],"is":[65,82],"thus":[66],"not":[67],"only":[68],"able":[69,84],"find":[71,86],"outperform":[74],"data":[79],"but":[81],"also":[83],"non-obvious":[87],"partitionings.":[88]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}