{"id":"https://openalex.org/W7080011846","doi":"https://doi.org/10.14778/3749646.3749664","title":"Diva: Dynamic Range Filter for Var-Length Keys and Queries","display_name":"Diva: Dynamic Range Filter for Var-Length Keys and Queries","publication_year":2025,"publication_date":"2025-07-01","ids":{"openalex":"https://openalex.org/W7080011846","doi":"https://doi.org/10.14778/3749646.3749664"},"language":"en","primary_location":{"id":"doi:10.14778/3749646.3749664","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3749646.3749664","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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 VLDB Endowment","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":null,"display_name":"Navid Eslami","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Navid Eslami","raw_affiliation_strings":["University of Toronto, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ioana O. Bercea","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ioana O. Bercea","raw_affiliation_strings":["KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":null,"display_name":"Niv Dayan","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Niv Dayan","raw_affiliation_strings":["University of Toronto, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.0351,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.96905968,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"18","issue":"11","first_page":"3923","last_page":"3936"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6970999836921692,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6970999836921692,"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/T13067","display_name":"Geological Modeling and Analysis","score":0.02500000037252903,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14311","display_name":"Electrical and Electromagnetic Research","score":0.016699999570846558,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/range-query","display_name":"Range query (database)","score":0.7822999954223633},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6137999892234802},{"id":"https://openalex.org/keywords/trie","display_name":"Trie","score":0.6111000180244446},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5401999950408936},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5245000123977661},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.41659998893737793},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.4115999937057495},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.36640000343322754}],"concepts":[{"id":"https://openalex.org/C136736807","wikidata":"https://www.wikidata.org/wiki/Q818943","display_name":"Range query (database)","level":5,"score":0.7822999954223633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7177000045776367},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6137999892234802},{"id":"https://openalex.org/C190290938","wikidata":"https://www.wikidata.org/wiki/Q387015","display_name":"Trie","level":3,"score":0.6111000180244446},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5401999950408936},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5245000123977661},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5151000022888184},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47269999980926514},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.41659998893737793},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4115999937057495},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.396699994802475},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.36640000343322754},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.36390000581741333},{"id":"https://openalex.org/C141603448","wikidata":"https://www.wikidata.org/wiki/Q134830","display_name":"Prefix","level":2,"score":0.35249999165534973},{"id":"https://openalex.org/C147224247","wikidata":"https://www.wikidata.org/wiki/Q885373","display_name":"Bloom filter","level":2,"score":0.3237000107765198},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C15569618","wikidata":"https://www.wikidata.org/wiki/Q3561421","display_name":"Liveness","level":2,"score":0.3061000108718872},{"id":"https://openalex.org/C207024777","wikidata":"https://www.wikidata.org/wiki/Q621673","display_name":"Search tree","level":3,"score":0.3034999966621399},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.26190000772476196},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2603999972343445},{"id":"https://openalex.org/C2989070954","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database query","level":2,"score":0.2558000087738037}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3749646.3749664","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3749646.3749664","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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 VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4442991614341736,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1764163631","https://openalex.org/W1965185568","https://openalex.org/W1985229168","https://openalex.org/W1986633843","https://openalex.org/W1993284846","https://openalex.org/W2030062409","https://openalex.org/W2055706406","https://openalex.org/W2057223122","https://openalex.org/W2068739275","https://openalex.org/W2090021115","https://openalex.org/W2108230084","https://openalex.org/W2115559007","https://openalex.org/W2127140580","https://openalex.org/W2145269645","https://openalex.org/W2161694911","https://openalex.org/W2165663045","https://openalex.org/W2612838847","https://openalex.org/W2798891709","https://openalex.org/W2799221749","https://openalex.org/W2945912251","https://openalex.org/W2962771342","https://openalex.org/W3018708672","https://openalex.org/W3096737792","https://openalex.org/W3173499193","https://openalex.org/W3198573140","https://openalex.org/W3207452942","https://openalex.org/W4281726021","https://openalex.org/W4283319958","https://openalex.org/W4381328627","https://openalex.org/W4385270179","https://openalex.org/W4398234086","https://openalex.org/W4399209859","https://openalex.org/W4401399649","https://openalex.org/W4402426760","https://openalex.org/W4412215390"],"related_works":[],"abstract_inverted_index":{"Range":[0],"filters":[1,49],"are":[2,14],"compact":[3],"probabilistic":[4],"data":[5,166],"structures":[6],"that":[7,202],"answer":[8],"approximate":[9],"range":[10,35,48,99,179],"emptiness":[11],"queries.":[12],"They":[13],"used":[15],"in":[16,20,31,43,119,143,155,162,192],"many":[17],"domains,":[18],"e.g.,":[19],"key-value":[21],"stores,":[22],"to":[23,39,101,149,171],"quickly":[24],"rule":[25],"out":[26],"the":[27,55,97,104,110,125,144,153,156,183,188,193,212,215],"existence":[28],"of":[29,54,190,214],"keys":[30,76,115,126,154],"a":[32,120,178,205],"given":[33],"query":[34,78,180,195],"and":[36,67,77,80,116,135,174,185,200,223,226],"avoid":[37],"having":[38],"search":[40],"for":[41,187],"them":[42,118],"storage.":[44],"However,":[45],"all":[46,103],"existing":[47],"exhibit":[50],"at":[51],"least":[52],"one":[53],"following":[56],"shortcomings:":[57],"(1)":[58],"they":[59,71,82],"do":[60,72,83],"not":[61,73,84],"provide":[62],"robust":[63],"false":[64,206],"positive":[65,207],"rate":[66,208],"performance":[68],"guarantees,":[69],"(2)":[70],"support":[74],"variable-length":[75,224],"ranges,":[79],"(3)":[81],"allow":[85,150],"dynamic":[86,165],"operations":[87],"such":[88],"as":[89],"insertions,":[90],"deletions,":[91],"or":[92],"expansions.":[93,175],"We":[94,197],"introduce":[95],"Diva,":[96],"first":[98],"filter":[100],"address":[102],"above":[105],"challenges":[106],"simultaneously.":[107],"Diva":[108,203],"learns":[109],"dataset's":[111],"distribution":[112],"by":[113,129,181],"sampling":[114],"storing":[117],"cache-efficient":[121],"trie.":[122],"It":[123,159,176],"compresses":[124],"in-between":[127],"samples":[128],"removing":[130],"their":[131,137],"longest":[132],"common":[133],"prefix":[134],"truncating":[136],"suffixes":[138],"while":[139,220],"leaving":[140],"enough":[141],"bits":[142],"middle":[145],"(i.e.,":[146],"an":[147],"infix)":[148],"differentiating":[151],"between":[152],"sorted":[157],"order.":[158],"stores":[160],"infixes":[161,191],"constant":[163],"time":[164],"blocks,":[167],"which":[168],"it":[169],"splits":[170],"handle":[172],"insertions":[173],"processes":[177],"traversing":[182],"trie":[184],"checking":[186],"inclusion":[189],"target":[194],"range.":[196],"show,":[198],"theoretically":[199],"empirically,":[201],"achieves":[204],"on":[209,217],"par":[210],"with":[211],"state":[213],"art":[216],"real-world":[218],"datasets":[219],"supporting":[221],"dynamicity":[222],"queries":[225],"keys.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
