{"id":"https://openalex.org/W4402969682","doi":"https://doi.org/10.1145/3677134","title":"Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality","display_name":"Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality","publication_year":2024,"publication_date":"2024-09-30","ids":{"openalex":"https://openalex.org/W4402969682","doi":"https://doi.org/10.1145/3677134"},"language":"en","primary_location":{"id":"doi:10.1145/3677134","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3677134","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"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 ACM on Management of Data","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/A5012181679","display_name":"X. Q. Tang","orcid":"https://orcid.org/0009-0002-1344-579X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xilin Tang","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091139467","display_name":"Feng Zhang","orcid":"https://orcid.org/0000-0003-1983-7321"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhang","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696504","display_name":"Shuhao Zhang","orcid":"https://orcid.org/0000-0002-9927-6925"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shuhao Zhang","raw_affiliation_strings":["Nanyang Technological University, Singapore, SG"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, SG","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055964618","display_name":"Yani Liu","orcid":"https://orcid.org/0000-0002-8933-6787"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yani Liu","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039946576","display_name":"Bingsheng He","orcid":"https://orcid.org/0000-0001-8618-4581"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bingsheng He","raw_affiliation_strings":["National University of Singapore, Singapore, SG"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, SG","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008721449","display_name":"Xiaoyong Du","orcid":"https://orcid.org/0000-0002-5757-9135"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]},{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Xiaoyong Du","raw_affiliation_strings":["Renmin University of China, Beijing, China","National University of Singapore, Singapore, SG"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"National University of Singapore, Singapore, SG","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5012181679"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":0.349,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61505526,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"2","issue":"4","first_page":"1","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9987999796867371,"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":0.9987999796867371,"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/T11106","display_name":"Data Management and Algorithms","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9932000041007996,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/join","display_name":"Join (topology)","score":0.8222869634628296},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.7438921928405762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6183634996414185},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5560252666473389},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5524885654449463},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.4646928012371063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17557784914970398},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14956921339035034},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10811847448348999},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.06862080097198486}],"concepts":[{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.8222869634628296},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.7438921928405762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6183634996414185},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5560252666473389},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5524885654449463},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.4646928012371063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17557784914970398},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14956921339035034},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10811847448348999},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.06862080097198486},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3677134","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3677134","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"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 ACM on Management of Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1427066226","display_name":null,"funder_award_id":"62322213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":121,"referenced_works":["https://openalex.org/W95608104","https://openalex.org/W816218384","https://openalex.org/W1497089183","https://openalex.org/W1512675310","https://openalex.org/W1552866552","https://openalex.org/W1865797552","https://openalex.org/W1964857063","https://openalex.org/W1972223681","https://openalex.org/W1982682305","https://openalex.org/W1983283974","https://openalex.org/W1991770012","https://openalex.org/W1998164759","https://openalex.org/W2008888174","https://openalex.org/W2020584928","https://openalex.org/W2035801804","https://openalex.org/W2041912938","https://openalex.org/W2048431825","https://openalex.org/W2049127440","https://openalex.org/W2053154469","https://openalex.org/W2057058417","https://openalex.org/W2066588467","https://openalex.org/W2067040389","https://openalex.org/W2071989194","https://openalex.org/W2080234606","https://openalex.org/W2097880677","https://openalex.org/W2099799055","https://openalex.org/W2105358874","https://openalex.org/W2106834095","https://openalex.org/W2110363867","https://openalex.org/W2115622196","https://openalex.org/W2119885577","https://openalex.org/W2120276090","https://openalex.org/W2122135452","https://openalex.org/W2125529470","https://openalex.org/W2128613414","https://openalex.org/W2137373960","https://openalex.org/W2138531903","https://openalex.org/W2140701158","https://openalex.org/W2140894225","https://openalex.org/W2145667392","https://openalex.org/W2149576945","https://openalex.org/W2152693590","https://openalex.org/W2153406069","https://openalex.org/W2153511931","https://openalex.org/W2164507334","https://openalex.org/W2166955231","https://openalex.org/W2169998163","https://openalex.org/W2243803726","https://openalex.org/W2272315143","https://openalex.org/W2318726294","https://openalex.org/W2406955896","https://openalex.org/W2421547754","https://openalex.org/W2429510775","https://openalex.org/W2439904216","https://openalex.org/W2442561801","https://openalex.org/W2612048434","https://openalex.org/W2612210001","https://openalex.org/W2612337305","https://openalex.org/W2614565221","https://openalex.org/W2616120155","https://openalex.org/W2622662334","https://openalex.org/W2772222064","https://openalex.org/W2773951400","https://openalex.org/W2791590079","https://openalex.org/W2798499404","https://openalex.org/W2798891709","https://openalex.org/W2807467121","https://openalex.org/W2898352726","https://openalex.org/W2915063781","https://openalex.org/W2917919617","https://openalex.org/W2948170014","https://openalex.org/W2948295647","https://openalex.org/W2950833175","https://openalex.org/W2963746773","https://openalex.org/W2963987827","https://openalex.org/W3000710917","https://openalex.org/W3008644303","https://openalex.org/W3013082216","https://openalex.org/W3080344667","https://openalex.org/W3081247648","https://openalex.org/W3119448165","https://openalex.org/W3141939444","https://openalex.org/W3168179154","https://openalex.org/W3169045378","https://openalex.org/W3174001491","https://openalex.org/W3174285754","https://openalex.org/W3175518332","https://openalex.org/W3175777295","https://openalex.org/W3201096471","https://openalex.org/W3212933115","https://openalex.org/W4226024156","https://openalex.org/W4226086155","https://openalex.org/W4229903866","https://openalex.org/W4230435573","https://openalex.org/W4233471163","https://openalex.org/W4241679708","https://openalex.org/W4242430977","https://openalex.org/W4247214211","https://openalex.org/W4251246352","https://openalex.org/W4281723299","https://openalex.org/W4281866436","https://openalex.org/W4281879035","https://openalex.org/W4282041278","https://openalex.org/W4282554945","https://openalex.org/W4282589223","https://openalex.org/W4282597468","https://openalex.org/W4283790955","https://openalex.org/W4289533938","https://openalex.org/W4291294685","https://openalex.org/W4299841484","https://openalex.org/W4309951073","https://openalex.org/W4379135629","https://openalex.org/W4380433134","https://openalex.org/W4380433143","https://openalex.org/W4380433169","https://openalex.org/W4380433173","https://openalex.org/W4380433195","https://openalex.org/W4381329189","https://openalex.org/W4389315103","https://openalex.org/W4399174588","https://openalex.org/W4401352035"],"related_works":["https://openalex.org/W2038693912","https://openalex.org/W1991602789","https://openalex.org/W1582396021","https://openalex.org/W1988359706","https://openalex.org/W312558119","https://openalex.org/W4210985407","https://openalex.org/W2335441444","https://openalex.org/W138014004","https://openalex.org/W2075598034","https://openalex.org/W2984441180"],"abstract_inverted_index":{">Sampling":[0],"is":[1,22,268],"one":[2],"of":[3,38,71,185,236,250,265],"the":[4,36,53,67,72,104,180,192,229,234,237],"most":[5],"widely":[6,164],"employed":[7],"approximations":[8],"in":[9,16,80,132,178,219,228],"big":[10],"data":[11,117,134,186],"processing.":[12],"Among":[13],"various":[14],"challenges":[15],"sampling":[17,19,63,131,150,187],"design,":[18],"for":[20,106,114,209,215],"join":[21,37,157],"particularly":[23],"intriguing":[24],"yet":[25],"complex.":[26],"This":[27],"perplexing":[28],"problem":[29],"starts":[30],"with":[31,99,151],"a":[32,49,57,121,154,225,244,259],"classical":[33],"case":[34],"where":[35],"two":[39,163],"Bernoulli":[40],"samples":[41,87],"shrinks":[42],"its":[43,251],"output":[44,167,230],"size":[45,231],"quadratically":[46],"and":[47,69,88,109,171,183,204,247,258,270],"exhibits":[48],"strong":[50],"dependency":[51],"on":[52,137,162,191],"input":[54],"data,":[55,101],"presenting":[56],"unique":[58],"challenge":[59],"that":[60],"necessitates":[61],"adaptive":[62,130],"to":[64,103,128],"guarantee":[65],"both":[66,179,254],"quantity":[68,182],"quality":[70,184,203],"sampled":[73],"data.":[74],"The":[75,263],"community":[76],"has":[77],"made":[78],"strides":[79],"achieving":[81],"this":[82,142],"goal":[83],"by":[84,188,196],"constructing":[85],"offline":[86,138],"integrating":[89],"support":[90],"from":[91],"indexes":[92],"or":[93],"key":[94,155],"frequencies.":[95],"However,":[96],"when":[97],"dealing":[98],"stream":[100,133,156],"due":[102],"need":[105],"real-time":[107],"processing":[108,115],"high-quality":[110],"analysis,":[111],"methods":[112],"developed":[113],"static":[116],"become":[118],"unavailable.":[119],"Consequently,":[120],"fundamental":[122],"question":[123],"arises:":[124],"Is":[125],"it":[126],"possible":[127],"achieve":[129],"without":[135],"relying":[136],"techniques?":[139],"To":[140],"address":[141],"problem,":[143],"we":[144,241],"propose":[145],"FreeSam,":[146],"which":[147],"couples":[148],"hybrid":[149],"intra-window":[152],"join,":[153],"operator.":[158],"Our":[159,211],"focus":[160],"lies":[161],"used":[165],"metrics:":[166],"size,":[168],"ensuring":[169,173],"quantity,":[170],"variance,":[172],"quality.":[174],"FreeSam":[175,207,222,243],"enables":[176],"adaptability":[177],"desired":[181],"offering":[189],"control":[190],"two-dimensional":[193],"space":[194],"spanned":[195],"these":[197,266],"metrics.":[198],"Meanwhile,":[199],"adjustable":[200],"trade-offs":[201],"between":[202],"performance":[205],"make":[206],"practical":[208],"use.":[210],"experiments":[212],"show":[213],"that,":[214],"every":[216],"1%":[217],"increase":[218,227],"latency":[220,252],"limitation,":[221],"can":[223],"yield":[224],"3.83%":[226],"while":[232],"maintaining":[233],"level":[235],"estimator's":[238],"variance.":[239],"Additionally,":[240],"give":[242],"multi-core":[245],"implementation":[246],"ensure":[248],"predictability":[249],"through":[253],"an":[255],"analytic":[256],"model":[257],"neural":[260],"network":[261],"model.":[262],"accuracy":[264],"models":[267],"88.05%":[269],"96.75%":[271],"respectively.":[272]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}