{"id":"https://openalex.org/W4385567527","doi":"https://doi.org/10.1145/3580305.3599383","title":"Hyper-USS: Answering Subset Query Over Multi-Attribute Data Stream","display_name":"Hyper-USS: Answering Subset Query Over Multi-Attribute Data Stream","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385567527","doi":"https://doi.org/10.1145/3580305.3599383"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599383","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5026587300","display_name":"Ruijie Miao","orcid":"https://orcid.org/0000-0002-7266-8064"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruijie Miao","raw_affiliation_strings":["Peking University & Peng Cheng Laboratory, Beijing & Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University & Peng Cheng Laboratory, Beijing & Shenzhen, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101491849","display_name":"Yiyao Zhang","orcid":"https://orcid.org/0009-0000-8363-1219"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyao Zhang","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051746143","display_name":"Guohua Qu","orcid":"https://orcid.org/0009-0005-6305-6217"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanyu Qu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061907296","display_name":"Kai-Cheng Yang","orcid":"https://orcid.org/0000-0001-6381-4026"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaicheng Yang","raw_affiliation_strings":["Peking University & Peng Cheng Laboratory, Beijing & Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University & Peng Cheng Laboratory, Beijing & Shenzhen, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069277955","display_name":"Tong Yang","orcid":"https://orcid.org/0000-0003-2402-5854"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Yang","raw_affiliation_strings":["Peking University & Peng Cheng Laboratory, Beijing & Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University & Peng Cheng Laboratory, Beijing & Shenzhen, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062357883","display_name":"Bin Cui","orcid":"https://orcid.org/0000-0003-1681-4677"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Cui","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5026587300"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210136793"],"apc_list":null,"apc_paid":null,"fwci":1.171,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7898479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1698","last_page":"1709"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9983000159263611,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9958000183105469,"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/computer-science","display_name":"Computer science","score":0.830990195274353},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.7630496621131897},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.7074242234230042},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.6623779535293579},{"id":"https://openalex.org/keywords/online-aggregation","display_name":"Online aggregation","score":0.6526920795440674},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.6435039043426514},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.6054509878158569},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5961158871650696},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5089764595031738},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.5010075569152832},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.4802570641040802},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4677811861038208},{"id":"https://openalex.org/keywords/spatial-query","display_name":"Spatial query","score":0.421026349067688},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4082958996295929},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.2592490315437317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.830990195274353},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.7630496621131897},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.7074242234230042},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.6623779535293579},{"id":"https://openalex.org/C24028149","wikidata":"https://www.wikidata.org/wiki/Q7094056","display_name":"Online aggregation","level":5,"score":0.6526920795440674},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.6435039043426514},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.6054509878158569},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5961158871650696},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5089764595031738},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.5010075569152832},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.4802570641040802},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4677811861038208},{"id":"https://openalex.org/C172722865","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial query","level":5,"score":0.421026349067688},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4082958996295929},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.2592490315437317},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599383","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1477544716","display_name":null,"funder_award_id":"Guangdong","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1946999620","display_name":null,"funder_award_id":"U20A20179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4253300795","display_name":null,"funder_award_id":"61832001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7896782678","display_name":null,"funder_award_id":"U20A2017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8400801390","display_name":null,"funder_award_id":"U20A201","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":34,"referenced_works":["https://openalex.org/W1493892051","https://openalex.org/W1553409264","https://openalex.org/W1865797552","https://openalex.org/W1971731845","https://openalex.org/W2020572986","https://openalex.org/W2085845250","https://openalex.org/W2096547754","https://openalex.org/W2102481563","https://openalex.org/W2106154221","https://openalex.org/W2136445928","https://openalex.org/W2141441292","https://openalex.org/W2142099410","https://openalex.org/W2150517569","https://openalex.org/W2167845177","https://openalex.org/W2169927847","https://openalex.org/W2171084256","https://openalex.org/W2439904216","https://openalex.org/W2474516861","https://openalex.org/W2561675875","https://openalex.org/W2577957252","https://openalex.org/W2737988660","https://openalex.org/W2768915865","https://openalex.org/W2809244162","https://openalex.org/W2834288129","https://openalex.org/W3029564598","https://openalex.org/W3031315636","https://openalex.org/W3080797160","https://openalex.org/W3081247648","https://openalex.org/W3106489949","https://openalex.org/W3169567991","https://openalex.org/W3175923300","https://openalex.org/W3176348316","https://openalex.org/W3189127798","https://openalex.org/W6636258180"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W2026738364","https://openalex.org/W3125756434","https://openalex.org/W2113390685","https://openalex.org/W8514837","https://openalex.org/W2901901036","https://openalex.org/W2124814993","https://openalex.org/W4381740310","https://openalex.org/W1561614275","https://openalex.org/W2188491774"],"abstract_inverted_index":{"Sketching":[0],"algorithms":[1],"are":[2,34,43],"considered":[3],"as":[4,26],"promising":[5],"solutions":[6],"for":[7,36,45],"answering":[8],"approximate":[9,86],"query":[10,28,37,46,63,87,121],"on":[11,38,47,105,122],"massive":[12],"data":[13,90],"stream.":[14,91],"In":[15,50],"real":[16],"scenarios,":[17],"a":[18],"large":[19],"number":[20],"of":[21,73],"problems":[22],"can":[23],"be":[24],"abstracted":[25],"subset":[27,62,120],"over":[29,64,88],"multiple":[30,48,65],"attributes.":[31,49,107],"Existing":[32],"sketches":[33,117],"designed":[35,83],"single":[39,123],"attributes,":[40,124],"and":[41,68,131],"therefore":[42],"inefficient":[44],"this":[51,76],"work,":[52],"we":[53],"propose":[54],"Hyper-USS,":[55],"an":[56],"innovative":[57],"sketching":[58,81],"algorithm":[59,82],"that":[60,118],"supports":[61],"attributes":[66],"accurately":[67],"efficiently.":[69],"To":[70],"the":[71,79,94,114,127,132],"best":[72],"our":[74],"knowledge,":[75],"work":[77],"is":[78,138],"first":[80],"to":[84,100],"answer":[85],"multi-attribute":[89],"We":[92],"utilize":[93],"key":[95],"technique,":[96],"Joint":[97],"Variance":[98],"Optimization,":[99],"guarantee":[101],"high":[102],"estimation":[103],"accuracy":[104,128],"all":[106],"Experiment":[108],"results":[109],"show":[110],"that,":[111],"compared":[112],"with":[113],"state-of-the-art":[115],"(SOTA)":[116],"support":[119],"Hyper-USS":[125],"improves":[126],"by":[129,134],"16.67X":[130],"throughput":[133],"8.54X.":[135],"The":[136],"code":[137],"open-sourced":[139],"at":[140],"Github.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}