{"id":"https://openalex.org/W4381328627","doi":"https://doi.org/10.1145/3589285","title":"InfiniFilter: Expanding Filters to Infinity and Beyond","display_name":"InfiniFilter: Expanding Filters to Infinity and Beyond","publication_year":2023,"publication_date":"2023-06-13","ids":{"openalex":"https://openalex.org/W4381328627","doi":"https://doi.org/10.1145/3589285"},"language":"en","primary_location":{"id":"doi:10.1145/3589285","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589285","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/A5003707725","display_name":"Niv Dayan","orcid":"https://orcid.org/0000-0003-0314-0167"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Niv Dayan","raw_affiliation_strings":["University of Toronto, Toronto, Denmark"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Denmark","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016433369","display_name":"Ioana O. Bercea","orcid":"https://orcid.org/0000-0001-8430-2441"},"institutions":[{"id":"https://openalex.org/I83467386","display_name":"IT University of Copenhagen","ror":"https://ror.org/02309jg23","country_code":"DK","type":"education","lineage":["https://openalex.org/I83467386"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Ioana Bercea","raw_affiliation_strings":["IT University of Copenhagen, Copenhagen, Denmark"],"affiliations":[{"raw_affiliation_string":"IT University of Copenhagen, Copenhagen, Denmark","institution_ids":["https://openalex.org/I83467386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080322790","display_name":"Pedro Reviriego","orcid":"https://orcid.org/0000-0003-2540-5234"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pedro Reviriego","raw_affiliation_strings":["Universidad Politecnica de Madrid, Madrid, Denmark"],"affiliations":[{"raw_affiliation_string":"Universidad Politecnica de Madrid, Madrid, Denmark","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014293815","display_name":"Rasmus Pagh","orcid":"https://orcid.org/0000-0002-1516-9306"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Rasmus Pagh","raw_affiliation_strings":["University of Copenhagen, Copenhagen, Denmark"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen, Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003707725"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0125,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9420553,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"1","issue":"2","first_page":"1","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9998000264167786,"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/T11478","display_name":"Caching and Content Delivery","score":0.9998000264167786,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9961000084877014,"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":0.9940000176429749,"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/hash-function","display_name":"Hash function","score":0.7803164720535278},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7648516297340393},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.637151837348938},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6067712903022766},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.5985890626907349},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5537904500961304},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.4974193871021271},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47194141149520874},{"id":"https://openalex.org/keywords/bloom-filter","display_name":"Bloom filter","score":0.47190243005752563},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.44708213210105896},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40870192646980286},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4047642946243286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1665063500404358},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09355700016021729},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0811956524848938}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7803164720535278},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7648516297340393},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.637151837348938},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6067712903022766},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.5985890626907349},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5537904500961304},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.4974193871021271},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47194141149520874},{"id":"https://openalex.org/C147224247","wikidata":"https://www.wikidata.org/wiki/Q885373","display_name":"Bloom filter","level":2,"score":0.47190243005752563},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.44708213210105896},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40870192646980286},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4047642946243286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1665063500404358},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09355700016021729},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0811956524848938},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589285","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589285","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":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.41999998688697815}],"awards":[{"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/G5571775104","display_name":null,"funder_award_id":"TED2021-130118B-I00","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320310490","display_name":"Villum Fonden","ror":"https://ror.org/007ww2d15"},{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1580997674","https://openalex.org/W1965185568","https://openalex.org/W1967373117","https://openalex.org/W1990080756","https://openalex.org/W1993284846","https://openalex.org/W2018423671","https://openalex.org/W2035735180","https://openalex.org/W2088351633","https://openalex.org/W2090330503","https://openalex.org/W2110423232","https://openalex.org/W2115559007","https://openalex.org/W2123845384","https://openalex.org/W2125763460","https://openalex.org/W2133394135","https://openalex.org/W2134552038","https://openalex.org/W2136986825","https://openalex.org/W2139599340","https://openalex.org/W2171819658","https://openalex.org/W2292693431","https://openalex.org/W2547226717","https://openalex.org/W2604468458","https://openalex.org/W2605800201","https://openalex.org/W2612838847","https://openalex.org/W2742124187","https://openalex.org/W2765113847","https://openalex.org/W2769951192","https://openalex.org/W2795182149","https://openalex.org/W2798891709","https://openalex.org/W2808068568","https://openalex.org/W2890164255","https://openalex.org/W2903162282","https://openalex.org/W2916238833","https://openalex.org/W2948214724","https://openalex.org/W2948924052","https://openalex.org/W2954077180","https://openalex.org/W2982588335","https://openalex.org/W2994941531","https://openalex.org/W3010795619","https://openalex.org/W3011810846","https://openalex.org/W3023647491","https://openalex.org/W3117094843","https://openalex.org/W3138570739","https://openalex.org/W3174427814","https://openalex.org/W3175095614","https://openalex.org/W4283319958","https://openalex.org/W4283332335","https://openalex.org/W4300504005","https://openalex.org/W4300868769","https://openalex.org/W4312232989","https://openalex.org/W4313065965","https://openalex.org/W6602368977"],"related_works":["https://openalex.org/W2227807207","https://openalex.org/W2370014100","https://openalex.org/W3137108924","https://openalex.org/W1852009617","https://openalex.org/W4287264924","https://openalex.org/W2042819006","https://openalex.org/W2170165007","https://openalex.org/W1979110442","https://openalex.org/W2156660460","https://openalex.org/W2362866566"],"abstract_inverted_index":{"Filter":[0],"data":[1,54,92],"structures":[2],"have":[3],"been":[4],"used":[5],"ubiquitously":[6],"since":[7],"the":[8,45,53,80,90,165,189,196,202,247,252,257],"1970s":[9],"to":[10,31,40,63,161,164,184,240],"answer":[11],"approximate":[12],"set-membership":[13],"queries":[14],"in":[15,38,59,147],"various":[16],"areas":[17],"of":[18,79,214,224],"computer":[19],"science":[20],"including":[21],"architecture,":[22],"networks,":[23],"operating":[24],"systems,":[25],"and":[26,153,175,194,227,231,251],"databases.":[27],"Such":[28],"filters":[29,62,74,128],"need":[30],"be":[32],"allocated":[33],"with":[34],"a":[35,42,97,123,135,140,173,215],"given":[36],"capacity":[37],"advance":[39],"provide":[41],"guarantee":[43],"over":[44,89],"false":[46,111,197,248],"positive":[47,112,198,249],"rate.":[48],"In":[49],"many":[50],"applications,":[51],"however,":[52],"size":[55,148],"is":[56,134,172,212],"not":[57],"known":[58],"advance,":[60],"requiring":[61],"dynamically":[64],"expand.":[65],"This":[66,187],"paper":[67],"shows":[68],"that":[69,129,138,180,233],"existing":[70,241],"methods":[71],"for":[72,126,142],"expanding":[73,127],"exhibit":[75],"at":[76,256],"least":[77],"one":[78,156],"following":[81],"flaws:":[82],"(1)":[83],"they":[84,95],"entail":[85],"an":[86],"expensive":[87],"scan":[88],"whole":[91],"set,":[93],"(2)":[94],"require":[96],"lavish":[98],"memory":[99,253],"footprint,":[100,254],"(3)":[101],"their":[102,110],"query,":[103],"delete":[104],"and/or":[105,115],"insertion":[106],"performance":[107,209],"plummets,":[108],"(4)":[109],"rate":[113,199],"skyrockets,":[114],"(5)~they":[116],"cannot":[117],"expand":[118],"indefinitely.":[119],"We":[120,219],"introduce":[121],"InfiniFilter,":[122],"new":[124,174],"method":[125],"addresses":[130],"these":[131],"shortcomings.":[132],"InfiniFilter":[133,205,221],"hash":[136,167,177,217],"table":[137],"stores":[139],"fingerprint":[141,160,191],"each":[143,159],"entry.":[144],"It":[145],"doubles":[146],"when":[149],"it":[150,154,163,211,234,243],"reaches":[151],"capacity,":[152],"sacrifices":[155],"bit":[157],"from":[158],"map":[162],"expanded":[166],"table.":[168,218],"The":[169],"core":[170],"novelty":[171],"flexible":[176],"slot":[178],"format":[179],"sets":[181],"longer":[182],"fingerprints":[183],"newer":[185],"entries.":[186],"keeps":[188],"average":[190],"length":[192],"long":[193],"thus":[195],"stable.":[200],"At":[201],"same":[203,258],"time,":[204],"provides":[206],"stable":[207],"insertion/query/delete":[208],"as":[210],"comprised":[213],"unified":[216],"implement":[220],"on":[222],"top":[223],"Quotient":[225],"Filter,":[226],"we":[228],"demonstrate":[229],"theoretically":[230],"empirically":[232],"offers":[235],"superior":[236],"cost":[237],"properties":[238],"compared":[239],"methods:":[242],"better":[244],"scales":[245],"performance,":[246],"rate,":[250],"all":[255],"time.":[259]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}