{"id":"https://openalex.org/W4224323400","doi":"https://doi.org/10.1145/3485447.3511991","title":"A Sampling-based Learning Framework for Big Databases","display_name":"A Sampling-based Learning Framework for Big Databases","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4224323400","doi":"https://doi.org/10.1145/3485447.3511991"},"language":"en","primary_location":{"id":"doi:10.1145/3485447.3511991","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485447.3511991","pdf_url":null,"source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2022","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/A5101944584","display_name":"Jingtian Zhang","orcid":"https://orcid.org/0000-0002-2503-7630"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingtian Zhang","raw_affiliation_strings":["Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064646829","display_name":"Sai Wu","orcid":"https://orcid.org/0000-0002-1866-9197"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sai Wu","raw_affiliation_strings":["Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034520734","display_name":"Junbo Zhao","orcid":"https://orcid.org/0000-0002-3637-2936"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junbo Zhao","raw_affiliation_strings":["Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081384517","display_name":"Zhongle Xie","orcid":"https://orcid.org/0000-0002-2924-6974"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongle Xie","raw_affiliation_strings":["Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450470","display_name":"Feifei Li","orcid":"https://orcid.org/0009-0003-0770-5775"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifei Li","raw_affiliation_strings":["Alibaba Cloud, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Cloud, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104189200","display_name":"Yusong Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yusong Gao","raw_affiliation_strings":["Alibaba Cloud, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Cloud, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100389286","display_name":"Gang Chen","orcid":"https://orcid.org/0000-0002-7483-0045"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Chen","raw_affiliation_strings":["Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101944584"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.4324,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.43103448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1871","last_page":"1881"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9975000023841858,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9975000023841858,"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/T11106","display_name":"Data Management and Algorithms","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.7846255302429199},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5682878494262695},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.518256664276123},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4913865625858307},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39343804121017456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3329112231731415},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.30483514070510864},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.06262269616127014}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7846255302429199},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5682878494262695},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.518256664276123},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4913865625858307},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39343804121017456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3329112231731415},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30483514070510864},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.06262269616127014},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3485447.3511991","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485447.3511991","pdf_url":null,"source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2022","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2020147322","https://openalex.org/W2045938805","https://openalex.org/W2145466803","https://openalex.org/W2612048434","https://openalex.org/W2746553466","https://openalex.org/W2790625403","https://openalex.org/W2795239330","https://openalex.org/W2799108731","https://openalex.org/W2883510886","https://openalex.org/W2889503624","https://openalex.org/W2948513753","https://openalex.org/W2966185412","https://openalex.org/W2970851599","https://openalex.org/W3025775630","https://openalex.org/W3031692719","https://openalex.org/W3083560262","https://openalex.org/W3094011786","https://openalex.org/W3100925961","https://openalex.org/W4252793640","https://openalex.org/W4299328278","https://openalex.org/W4301314773"],"related_works":["https://openalex.org/W4322629366","https://openalex.org/W2808989540","https://openalex.org/W2397053934","https://openalex.org/W1039292361","https://openalex.org/W2731626691","https://openalex.org/W2551093110","https://openalex.org/W2148016376","https://openalex.org/W4237919137","https://openalex.org/W3184179822","https://openalex.org/W3095362084"],"abstract_inverted_index":{"The":[0,82,149],"autonomous":[1],"database":[2,42,107,157],"of":[3,41,71,100],"the":[4,10,30,39,51,57,69,101,105,119,152,165],"next":[5],"generation":[6],"aims":[7],"to":[8,32,50,84,108],"apply":[9],"reinforcement":[11],"learning":[12],"(RL)":[13],"on":[14,65,151],"tasks":[15],"like":[16],"query":[17],"optimization":[18,43],"and":[19,127,154],"performance":[20],"tuning":[21],"with":[22,96],"little":[23],"or":[24],"no":[25],"human":[26],"DBAs\u2019":[27],"intervention.":[28],"Despite":[29],"promise,":[31],"obtain":[33],"a":[34,87,97,137,145,170],"decent":[35],"policy":[36,102,120],"model":[37,103],"in":[38,56,63,79,91,141],"domain":[40],"is":[44,86],"still":[45],"challenging":[46],"\u2014":[47,62],"primarily":[48],"due":[49],"inherent":[52],"computational":[53,166],"overhead":[54],"involved":[55],"data":[58],"hungry":[59],"RL":[60,93],"frameworks":[61],"particular":[64],"large":[66],"databases.":[67],"In":[68],"line":[70],"mitigating":[72],"this":[73,80],"adverse":[74],"effect,":[75],"we":[76,116,135],"propose":[77],"Mirror":[78,85,142,161],"work.":[81],"core":[83],"sampling":[88,139],"process":[89,99],"built":[90],"an":[92,155],"framework":[94],"together":[95],"transferring":[98],"from":[104],"sampled":[106],"its":[109],"original":[110],"counterpart.":[111],"While":[112],"being":[113],"conceptually":[114],"simple,":[115],"identify":[117],"that":[118,130,160],"transfer":[121],"between":[122],"databases":[123],"involves":[124],"heavy":[125],"noise":[126],"prediction":[128],"drifting":[129],"cannot":[131],"be":[132],"neglectable.":[133],"Thereby":[134],"build":[136],"theoretical-guided":[138],"algorithm":[140],"assisted":[143],"by":[144],"continuous":[146],"fine-tuning":[147],"module.":[148],"experiments":[150],"PostgreSQL":[153],"industry":[156],"PolarDB":[158],"validate":[159],"has":[162],"effectively":[163],"reduced":[164],"cost":[167],"while":[168],"maintaining":[169],"satisfactory":[171],"performance.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
