{"id":"https://openalex.org/W4385565459","doi":"https://doi.org/10.1145/3580305.3599505","title":"SketchPolymer: Estimate Per-item Tail Quantile Using One Sketch","display_name":"SketchPolymer: Estimate Per-item Tail Quantile Using One Sketch","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385565459","doi":"https://doi.org/10.1145/3580305.3599505"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599505","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599505","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/A5078422343","display_name":"Jiarui Guo","orcid":"https://orcid.org/0000-0003-1551-7646"},"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":true,"raw_author_name":"Jiarui Guo","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077728084","display_name":"Yisen Hong","orcid":"https://orcid.org/0009-0007-0662-4788"},"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":"Yisen Hong","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031989447","display_name":"Yuhan Wu","orcid":"https://orcid.org/0000-0001-7115-5390"},"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":"Yuhan Wu","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067903338","display_name":"Yunfei Liu","orcid":"https://orcid.org/0009-0005-8075-7939"},"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":"Yunfei Liu","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Yang","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["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/A5078422343"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":2.2351,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.90258967,"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":"590","last_page":"601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.8747988939285278},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7342835068702698},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.7329332232475281},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5897620320320129},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5237985849380493},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41572698950767517},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2884299159049988},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23350900411605835},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15365254878997803},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11112645268440247}],"concepts":[{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.8747988939285278},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7342835068702698},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.7329332232475281},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5897620320320129},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5237985849380493},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41572698950767517},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2884299159049988},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23350900411605835},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15365254878997803},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11112645268440247}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599505","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599505","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/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":35,"referenced_works":["https://openalex.org/W64908097","https://openalex.org/W1553409264","https://openalex.org/W1972837134","https://openalex.org/W1982063824","https://openalex.org/W1983266860","https://openalex.org/W2014801148","https://openalex.org/W2080234606","https://openalex.org/W2117406486","https://openalex.org/W2123845384","https://openalex.org/W2139714080","https://openalex.org/W2141405301","https://openalex.org/W2144982963","https://openalex.org/W2152628009","https://openalex.org/W2218476422","https://openalex.org/W2299041621","https://openalex.org/W2340222647","https://openalex.org/W2506088122","https://openalex.org/W2508925589","https://openalex.org/W2535315879","https://openalex.org/W2798945787","https://openalex.org/W2834288129","https://openalex.org/W2887106541","https://openalex.org/W2911558628","https://openalex.org/W2963274201","https://openalex.org/W2967691202","https://openalex.org/W3004286518","https://openalex.org/W3106395004","https://openalex.org/W3146390850","https://openalex.org/W4200373065","https://openalex.org/W4206137901","https://openalex.org/W4234318375","https://openalex.org/W4283323602","https://openalex.org/W4385283793","https://openalex.org/W4393753661","https://openalex.org/W6948341420"],"related_works":["https://openalex.org/W2378994405","https://openalex.org/W2385974820","https://openalex.org/W2373478030","https://openalex.org/W2378679551","https://openalex.org/W3149739944","https://openalex.org/W2392363776","https://openalex.org/W2063051341","https://openalex.org/W2591066345","https://openalex.org/W1494563618","https://openalex.org/W2357022711"],"abstract_inverted_index":{"1Estimating":[0],"the":[1,64],"quantile":[2],"of":[3,66],"distribution,":[4,7],"especially":[5],"tail":[6,38],"is":[8,68],"an":[9],"interesting":[10],"topic":[11],"in":[12],"data":[13],"stream":[14],"models,":[15],"and":[16,51,84],"has":[17],"obtained":[18],"extensive":[19],"interest":[20],"from":[21],"many":[22],"researchers.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27],"propose":[28],"a":[29,42],"novel":[30],"sketch,":[31],"namely":[32],"SketchPolymer":[33,40,67,81],"to":[34,47,56,87],"accurately":[35],"estimate":[36],"per-item":[37],"quantile.":[39],"uses":[41],"technique":[43,53],"called":[44,54],"Early":[45],"Filtration":[46],"filter":[48],"infrequent":[49],"items,":[50],"another":[52],"VSS":[55],"reduce":[57],"error.":[58],"Our":[59],"experimental":[60],"results":[61],"show":[62],"that":[63],"accuracy":[65],"on":[69,82],"average":[70],"32.67":[71],"times":[72],"better":[73],"than":[74],"state-of-the-art":[75],"techniques.":[76],"We":[77],"also":[78],"implement":[79],"our":[80,93],"P4":[83],"FPGA":[85],"platforms":[86],"verify":[88],"its":[89],"deployment":[90],"flexibility.":[91],"All":[92],"codes":[94],"are":[95],"available":[96],"at":[97],"GitHub.[1]":[98]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}