{"id":"https://openalex.org/W2030433986","doi":"https://doi.org/10.14778/1920841.1921066","title":"Similarity search and mining in uncertain databases","display_name":"Similarity search and mining in uncertain databases","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2030433986","doi":"https://doi.org/10.14778/1920841.1921066","mag":"2030433986"},"language":"en","primary_location":{"id":"doi:10.14778/1920841.1921066","is_oa":false,"landing_page_url":"https://doi.org/10.14778/1920841.1921066","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/A5016653456","display_name":"Matthias Renz","orcid":"https://orcid.org/0000-0002-2024-7700"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Matthias Renz","raw_affiliation_strings":["Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany"],"affiliations":[{"raw_affiliation_string":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005847882","display_name":"Reynold Cheng","orcid":"https://orcid.org/0000-0002-9480-9809"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Reynold Cheng","raw_affiliation_strings":["University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109848174","display_name":"Hans\u2010Peter Kriegel","orcid":null},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hans-Peter Kriegel","raw_affiliation_strings":["Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany"],"affiliations":[{"raw_affiliation_string":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016653456"],"corresponding_institution_ids":["https://openalex.org/I8204097"],"apc_list":null,"apc_paid":null,"fwci":1.369,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.80246362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"3","issue":"1-2","first_page":"1653","last_page":"1654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":1.0,"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":1.0,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9987999796867371,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/uncertain-data","display_name":"Uncertain data","score":0.8375540971755981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7996301651000977},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7102806568145752},{"id":"https://openalex.org/keywords/probabilistic-database","display_name":"Probabilistic database","score":0.6892834901809692},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.6189290881156921},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6085440516471863},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5946496725082397},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5648168325424194},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5584478378295898},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4771418273448944},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.47595807909965515},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.470726877450943},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.42031168937683105},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4154038727283478},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20166009664535522},{"id":"https://openalex.org/keywords/database-theory","display_name":"Database theory","score":0.19160348176956177},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.15888676047325134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15850985050201416}],"concepts":[{"id":"https://openalex.org/C2778865114","wikidata":"https://www.wikidata.org/wiki/Q7882489","display_name":"Uncertain data","level":2,"score":0.8375540971755981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7996301651000977},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7102806568145752},{"id":"https://openalex.org/C174539288","wikidata":"https://www.wikidata.org/wiki/Q7246853","display_name":"Probabilistic database","level":4,"score":0.6892834901809692},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.6189290881156921},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6085440516471863},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5946496725082397},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5648168325424194},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5584478378295898},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4771418273448944},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.47595807909965515},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.470726877450943},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.42031168937683105},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4154038727283478},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20166009664535522},{"id":"https://openalex.org/C12439846","wikidata":"https://www.wikidata.org/wiki/Q4809258","display_name":"Database theory","level":3,"score":0.19160348176956177},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.15888676047325134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15850985050201416},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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":2,"locations":[{"id":"doi:10.14778/1920841.1921066","is_oa":false,"landing_page_url":"https://doi.org/10.14778/1920841.1921066","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:hub.hku.hk:10722/241074","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/241074","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference_Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W19971480","https://openalex.org/W1491547607","https://openalex.org/W1513823401","https://openalex.org/W1527356121","https://openalex.org/W1561514023","https://openalex.org/W1594296362","https://openalex.org/W1969642980","https://openalex.org/W1977848225","https://openalex.org/W2044074944","https://openalex.org/W2045928315","https://openalex.org/W2066406253","https://openalex.org/W2078686663","https://openalex.org/W2088422262","https://openalex.org/W2106582507","https://openalex.org/W2108009586","https://openalex.org/W2110796598","https://openalex.org/W2112070477","https://openalex.org/W2118462151","https://openalex.org/W2120342618","https://openalex.org/W2120825705","https://openalex.org/W2122964930","https://openalex.org/W2130308858","https://openalex.org/W2138414767","https://openalex.org/W2140237757","https://openalex.org/W2142909274","https://openalex.org/W2143485006","https://openalex.org/W2144602362","https://openalex.org/W2153404040","https://openalex.org/W2170896764","https://openalex.org/W2171776999","https://openalex.org/W2172146718","https://openalex.org/W3092497216","https://openalex.org/W4285719527","https://openalex.org/W6672615329"],"related_works":["https://openalex.org/W2113053869","https://openalex.org/W1876081586","https://openalex.org/W2595721259","https://openalex.org/W3020377904","https://openalex.org/W2744606804","https://openalex.org/W1986789518","https://openalex.org/W2884862670","https://openalex.org/W2383586874","https://openalex.org/W2583991428","https://openalex.org/W2007110272"],"abstract_inverted_index":{"Managing,":[0],"searching":[1],"and":[2,20,40,73,89,105,139,169],"mining":[3,41,90,125],"uncertain":[4,42,91,131,166],"data":[5,124,132,167],"has":[6],"achieved":[7],"much":[8],"attention":[9],"in":[10,32,83,127],"the":[11,47,58,80,84,97,117,128],"database":[12],"community":[13],"recently":[14],"due":[15],"to":[16,110,153],"new":[17,21],"sensor":[18],"technologies":[19],"ways":[22],"of":[23,30,34,49,61,76,86,101,130,146],"collecting":[24],"data.":[25,43,92],"There":[26],"is":[27,54],"a":[28,71],"number":[29],"challenges":[31],"terms":[33],"collecting,":[35],"modelling,":[36],"representing,":[37],"querying,":[38,87],"indexing":[39,88],"In":[44,93,115],"its":[45],"scope,":[46],"diversity":[48],"approaches":[50],"addressing":[51],"these":[52],"topics":[53,82],"very":[55],"high":[56],"because":[57],"underlying":[59],"assumptions":[60],"uncertainty":[62],"are":[63],"different":[64,66],"across":[65],"papers.":[67],"This":[68],"tutorial":[69,118,148],"provides":[70],"comprehensive":[72],"comparative":[74],"overview":[75],"general":[77,107],"techniques":[78],"for":[79,122],"key":[81],"fields":[85],"particular,":[94],"it":[95],"identifies":[96],"most":[98],"generic":[99],"types":[100],"probabilistic":[102,120,137,140],"similarity":[103],"queries":[104,113],"discusses":[106],"algorithmic":[108],"methods":[109,121],"answer":[111],"such":[112],"efficiently.":[114],"addition,":[116],"sketches":[119],"important":[123],"applications":[126],"context":[129],"with":[133,165],"special":[134],"emphasis":[135],"on":[136],"clustering":[138],"pattern":[141],"mining.":[142,170],"The":[143],"intended":[144],"audience":[145],"this":[147],"ranges":[149],"from":[150,160],"novice":[151],"researchers":[152],"advanced":[154],"experts":[155],"as":[156,158],"well":[157],"practitioners":[159],"any":[161],"application":[162],"domain":[163],"dealing":[164],"retrieval":[168]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-06-24T00:00:00"}
