{"id":"https://openalex.org/W1989005259","doi":"https://doi.org/10.14778/1920841.1920889","title":"Proximity rank join","display_name":"Proximity rank join","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W1989005259","doi":"https://doi.org/10.14778/1920841.1920889","mag":"1989005259"},"language":"en","primary_location":{"id":"doi:10.14778/1920841.1920889","is_oa":false,"landing_page_url":"https://doi.org/10.14778/1920841.1920889","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":"https://openalex.org/A5038451647","display_name":"Davide Martinenghi","orcid":"https://orcid.org/0000-0002-2726-7683"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Martinenghi","raw_affiliation_strings":["Politecnico di Milano, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033341878","display_name":"Marco Tagliasacchi","orcid":"https://orcid.org/0000-0002-7682-6795"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Tagliasacchi","raw_affiliation_strings":["Politecnico di Milano, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":6.668,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.97219168,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"3","issue":"1-2","first_page":"352","last_page":"363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.994700014591217,"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/tuple","display_name":"Tuple","score":0.7888860702514648},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.757742702960968},{"id":"https://openalex.org/keywords/join","display_name":"Join (topology)","score":0.7506130933761597},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5566707253456116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5217305421829224},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5075322389602661},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4633408784866333},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.43697887659072876},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.4274284839630127},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41769102215766907},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.41106587648391724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38186001777648926},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3350781798362732},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.24585089087486267},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.22576498985290527},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2200961709022522},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06543785333633423}],"concepts":[{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.7888860702514648},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.757742702960968},{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.7506130933761597},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5566707253456116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5217305421829224},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5075322389602661},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4633408784866333},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.43697887659072876},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.4274284839630127},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41769102215766907},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.41106587648391724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38186001777648926},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3350781798362732},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.24585089087486267},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.22576498985290527},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2200961709022522},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06543785333633423},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.14778/1920841.1920889","is_oa":false,"landing_page_url":"https://doi.org/10.14778/1920841.1920889","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.174.692","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.174.692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.comp.nus.edu.sg/%7Evldb2010/proceedings/files/papers/R31.pdf","raw_type":"text"},{"id":"pmh:oai:re.public.polimi.it:11311/577279","is_oa":false,"landing_page_url":"http://www.vldb.org/pvldb/vldb2010/pvldb_vol3/R31.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1502155832","https://openalex.org/W1586891901","https://openalex.org/W2009688537","https://openalex.org/W2025461470","https://openalex.org/W2033175785","https://openalex.org/W2106376606","https://openalex.org/W2109402524","https://openalex.org/W2123060058","https://openalex.org/W2128793454","https://openalex.org/W2133246278","https://openalex.org/W2133863472","https://openalex.org/W2143682328","https://openalex.org/W2160987984","https://openalex.org/W2164653193","https://openalex.org/W2501499209","https://openalex.org/W2666600683"],"related_works":["https://openalex.org/W3214148052","https://openalex.org/W2151692181","https://openalex.org/W4245395944","https://openalex.org/W794462722","https://openalex.org/W2029625042","https://openalex.org/W2143551613","https://openalex.org/W1979740464","https://openalex.org/W4248476017","https://openalex.org/W2127718681","https://openalex.org/W2351168130"],"abstract_inverted_index":{"We":[0],"introduce":[1],"the":[2,32,37,52,74,77,85,88,95,106,125,133,212],"proximity":[3,134],"rank":[4,71,120,135],"join":[5,121,136],"problem,":[6,137],"where":[7],"we":[8,150,207],"are":[9,17,46],"given":[10],"a":[11,20,23,28,81,92,152,157,174],"set":[12],"of":[13,40,62,69,76,87,91,112,177,205],"relations":[14,97],"whose":[15],"tuples":[16,41],"equipped":[18],"with":[19,42],"score":[21,90],"and":[22,54,223],"real-valued":[24],"feature":[25,30],"vector.":[26],"Given":[27],"target":[29,53,107],"vector,":[31],"goal":[33],"is":[34,168,171],"to":[35,51,55,59,186,198,210],"return":[36,99],"K":[38],"combinations":[39],"high":[43],"scores":[44],"that":[45,68,118,160,170],"as":[47,49,124,138,156],"close":[48],"possible":[50],"each":[56,194],"other,":[57],"according":[58],"some":[60],"notion":[61],"distance.":[63],"The":[64,179],"setting":[65],"closely":[66],"resembles":[67],"traditional":[70,119],"join,":[72],"but":[73],"geometry":[75],"vector":[78],"space":[79],"plays":[80],"distinctive":[82],"role":[83],"in":[84,131],"computation":[86],"overall":[89],"combination.":[93],"Also,":[94],"input":[96,143],"typically":[98],"their":[100],"results":[101,222],"either":[102],"by":[103,109],"distance":[104],"from":[105],"or":[108],"score.":[110],"Because":[111],"these":[113],"aspects,":[114],"it":[115],"turns":[116],"out":[117],"algorithms,":[122],"such":[123],"well-known":[126],"HRJN":[127],",":[128],"have":[129],"shortcomings":[130],"solving":[132],"they":[139],"may":[140],"read":[141],"more":[142],"than":[144],"needed.":[145],"To":[146],"overcome":[147],"this":[148],"weakness,":[149],"define":[151],"tight":[153,180,213],"bound":[154,181,214],"(used":[155],"stopping":[158],"criterion)":[159],"guarantees":[161],"instance":[162],"optimality,":[163],"i.e.,":[164],"an":[165,188],"I/O":[166],"cost":[167],"achieved":[169],"always":[172],"within":[173],"constant":[175],"factor":[176],"optimal.":[178],"can":[182],"also":[183],"be":[184],"used":[185],"drive":[187],"adaptive":[189],"pulling":[190],"strategy,":[191],"deciding":[192],"at":[193],"step":[195],"which":[196],"relation":[197],"access":[199],"next.":[200],"For":[201],"practically":[202],"relevant":[203],"classes":[204],"problems,":[206],"show":[208],"how":[209],"compute":[211],"efficiently.":[215],"An":[216],"extensive":[217],"experimental":[218],"study":[219],"validates":[220],"our":[221],"demonstrates":[224],"significant":[225],"gains":[226],"over":[227],"existing":[228],"solutions.":[229]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":9}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
