{"id":"https://openalex.org/W4417070083","doi":"https://doi.org/10.1145/3769827","title":"SplineSketch: Even More Accurate Quantiles with Error Guarantees","display_name":"SplineSketch: Even More Accurate Quantiles with Error Guarantees","publication_year":2025,"publication_date":"2025-12-04","ids":{"openalex":"https://openalex.org/W4417070083","doi":"https://doi.org/10.1145/3769827"},"language":"en","primary_location":{"id":"doi:10.1145/3769827","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3769827","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3769827","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3769827","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053944967","display_name":"Aleksander \u0141ukasiewicz","orcid":"https://orcid.org/0000-0003-1808-8330"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Aleksander \u0141ukasiewicz","raw_affiliation_strings":["Computer Science Institute, Charles University, Prague, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0003-1808-8330","affiliations":[{"raw_affiliation_string":"Computer Science Institute, Charles University, Prague, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077723390","display_name":"Jakub T\u011btek","orcid":"https://orcid.org/0000-0002-2046-1627"},"institutions":[{"id":"https://openalex.org/I58918642","display_name":"Sofia University \"St. Kliment Ohridski\"","ror":"https://ror.org/02jv3k292","country_code":"BG","type":"education","lineage":["https://openalex.org/I58918642"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Jakub T\u011btek","raw_affiliation_strings":["INSAIT, University of Sofia \"St. Kliment Ohridski\", Sofia, Bulgaria"],"raw_orcid":"https://orcid.org/0000-0002-2046-1627","affiliations":[{"raw_affiliation_string":"INSAIT, University of Sofia \"St. Kliment Ohridski\", Sofia, Bulgaria","institution_ids":["https://openalex.org/I58918642"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022904512","display_name":"Pavel Vesel\u00fd","orcid":"https://orcid.org/0000-0003-1169-7934"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Pavel Vesel\u00fd","raw_affiliation_strings":["Computer Science Institute, Charles University, Prague, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0003-1169-7934","affiliations":[{"raw_affiliation_string":"Computer Science Institute, Charles University, Prague, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6401,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69561738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"3","issue":"6","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.15309999883174896,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.15309999883174896,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.121799997985363,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.12160000205039978,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8216000199317932},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.6531999707221985},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6349999904632568},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.582099974155426},{"id":"https://openalex.org/keywords/subdivision","display_name":"Subdivision","score":0.4587000012397766},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.38830000162124634},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.350600004196167},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.34119999408721924}],"concepts":[{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.8216000199317932},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.6531999707221985},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6349999904632568},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5896000266075134},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.582099974155426},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5070000290870667},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4765999913215637},{"id":"https://openalex.org/C143392562","wikidata":"https://www.wikidata.org/wiki/Q449111","display_name":"Subdivision","level":2,"score":0.4587000012397766},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40389999747276306},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.38830000162124634},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37529999017715454},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.350600004196167},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.34119999408721924},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.3343999981880188},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.26440000534057617},{"id":"https://openalex.org/C63817138","wikidata":"https://www.wikidata.org/wiki/Q3455889","display_name":"Quantile regression","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C90377204","wikidata":"https://www.wikidata.org/wiki/Q1052594","display_name":"Uniform boundedness","level":3,"score":0.2556999921798706}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3769827","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3769827","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3769827","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2504.01206","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.01206","pdf_url":"https://arxiv.org/pdf/2504.01206","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:arXiv.org:2504.01206","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2504.01206","pdf_url":"https://arxiv.org/pdf/2504.01206","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3769827","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3769827","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3769827","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2535936422","display_name":null,"funder_award_id":"UNCE/24/SCI/008","funder_id":"https://openalex.org/F4320309755","funder_display_name":"Univerzita Karlova v Praze"},{"id":"https://openalex.org/G4422840520","display_name":null,"funder_award_id":"16582","funder_id":"https://openalex.org/F4320310490","funder_display_name":"Villum Fonden"},{"id":"https://openalex.org/G8098045768","display_name":"New challenges in streaming, online, and combinatorial algorithms","funder_award_id":"GA24-10306S","funder_id":"https://openalex.org/F4320321006","funder_display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky"}],"funders":[{"id":"https://openalex.org/F4320309755","display_name":"Univerzita Karlova v Praze","ror":"https://ror.org/024d6js02"},{"id":"https://openalex.org/F4320310490","display_name":"Villum Fonden","ror":"https://ror.org/007ww2d15"},{"id":"https://openalex.org/F4320321006","display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky","ror":"https://ror.org/01pv73b02"},{"id":"https://openalex.org/F4320325012","display_name":"Uniwersytet Wroc\u0142awski","ror":"https://ror.org/00yae6e25"},{"id":"https://openalex.org/F4320334966","display_name":"Bhabha Atomic Research Centre","ror":"https://ror.org/05w6wfp17"},{"id":"https://openalex.org/F4320337079","display_name":"Basic Algorithms Research Copenhagen, University of Copenhagen","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4417070083.pdf","grobid_xml":"https://content.openalex.org/works/W4417070083.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1983266860","https://openalex.org/W2006355640","https://openalex.org/W2037192958","https://openalex.org/W2045919365","https://openalex.org/W2096045964","https://openalex.org/W2109906716","https://openalex.org/W2112452856","https://openalex.org/W2161118867","https://openalex.org/W2294895103","https://openalex.org/W2299041621","https://openalex.org/W2963554098","https://openalex.org/W2971243175","https://openalex.org/W3030889859","https://openalex.org/W3048572476","https://openalex.org/W3096737792","https://openalex.org/W3117786929","https://openalex.org/W3136306008","https://openalex.org/W3196066353","https://openalex.org/W4214495955","https://openalex.org/W4214728981","https://openalex.org/W4302414222","https://openalex.org/W4380433206","https://openalex.org/W4383313785","https://openalex.org/W4386308175","https://openalex.org/W4391451337","https://openalex.org/W4396892632","https://openalex.org/W4400910136","https://openalex.org/W4404849515","https://openalex.org/W4406141966"],"related_works":[],"abstract_inverted_index":{"Space-efficient":[0],"streaming":[1],"estimation":[2],"of":[3,71,100,105,124],"quantiles":[4],"in":[5,15,45],"massive":[6],"datasets":[7],"is":[8],"a":[9,76,98,103,116,121],"fundamental":[10],"problem":[11],"with":[12],"numerous":[13],"applications":[14],"data":[16],"monitoring":[17],"and":[18,93,107],"analysis.":[19],"While":[20],"theoretical":[21,49,86],"research":[22],"led":[23],"to":[24,67],"optimal":[25],"algorithms,":[26],"such":[27,112],"as":[28],"the":[29,33,53,69,125,132],"Greenwald-Khanna":[30],"algorithm":[31],"or":[32],"KLL":[34],"sketch,":[35],"practitioners":[36],"often":[37],"use":[38],"other":[39],"sketches":[40],"that":[41,119],"perform":[42],"significantly":[43],"better":[44],"practice":[46],"but":[47],"lack":[48],"guarantees.":[50],"Most":[51],"notably,":[52],"widely":[54],"used":[55],"t":[56,95],"-digest":[57,96],"has":[58],"unbounded":[59],"worst-case":[60],"error.":[61],"In":[62],"this":[63],"paper,":[64],"we":[65,114],"seek":[66],"get":[68],"best":[70],"both":[72],"worlds.":[73],"We":[74],"present":[75],"new":[77],"quantile":[78],"summary,":[79],"SplineSketch,":[80],"for":[81],"numeric":[82],"data,":[83],"offering":[84],"near-optimal":[85],"guarantees,":[87],"namely":[88],"uniformly":[89],"bounded":[90],"rank":[91],"error,":[92],"outperforming":[94],"by":[97],"factor":[99],"2-20":[101],"on":[102],"range":[104,127],"synthetic":[106],"real-world":[108],"datasets.":[109],"To":[110],"achieve":[111],"performance,":[113],"develop":[115],"novel":[117],"approach":[118],"maintains":[120],"dynamic":[122],"subdivision":[123],"input":[126,133],"into":[128],"buckets":[129],"while":[130],"fitting":[131],"distribution":[134],"using":[135],"monotone":[136],"cubic":[137],"spline":[138],"interpolation.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}
