{"id":"https://openalex.org/W2148148676","doi":"https://doi.org/10.1145/1807167.1807266","title":"Bed-tree","display_name":"Bed-tree","publication_year":2010,"publication_date":"2010-06-06","ids":{"openalex":"https://openalex.org/W2148148676","doi":"https://doi.org/10.1145/1807167.1807266","mag":"2148148676"},"language":"en","primary_location":{"id":"doi:10.1145/1807167.1807266","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1807167.1807266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 ACM SIGMOD International Conference on Management of data","raw_type":"proceedings-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/A5100633295","display_name":"Zhenjie Zhang","orcid":"https://orcid.org/0000-0003-2053-3771"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhenjie Zhang","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058831095","display_name":"Marios Hadjieleftheriou","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marios Hadjieleftheriou","raw_affiliation_strings":["AT&T Labs - Research, Florham Park, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs - Research, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024892041","display_name":"Beng Chin Ooi","orcid":"https://orcid.org/0000-0003-4446-1100"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Beng Chin Ooi","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088315797","display_name":"Divesh Srivastava","orcid":"https://orcid.org/0000-0002-7609-9217"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Divesh Srivastava","raw_affiliation_strings":["AT&T Labs - Research, Florham Park, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs - Research, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.6503,"has_fulltext":false,"cited_by_count":130,"citation_normalized_percentile":{"value":0.98893043,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"915","last_page":"926"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.996399998664856,"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/edit-distance","display_name":"Edit distance","score":0.8628374338150024},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8047741651535034},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7202306985855103},{"id":"https://openalex.org/keywords/string-metric","display_name":"String metric","score":0.6968106627464294},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.6327481269836426},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6016666889190674},{"id":"https://openalex.org/keywords/similitude","display_name":"Similitude","score":0.5692884922027588},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5628547668457031},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.554487407207489},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.5270295739173889},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5164027810096741},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.49870944023132324},{"id":"https://openalex.org/keywords/approximate-string-matching","display_name":"Approximate string matching","score":0.45438894629478455},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4350453317165375},{"id":"https://openalex.org/keywords/string-searching-algorithm","display_name":"String searching algorithm","score":0.38962364196777344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24222558736801147},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.22667095065116882},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11785992980003357}],"concepts":[{"id":"https://openalex.org/C44359876","wikidata":"https://www.wikidata.org/wiki/Q5338467","display_name":"Edit distance","level":2,"score":0.8628374338150024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8047741651535034},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7202306985855103},{"id":"https://openalex.org/C22820288","wikidata":"https://www.wikidata.org/wiki/Q9050568","display_name":"String metric","level":4,"score":0.6968106627464294},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.6327481269836426},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6016666889190674},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.5692884922027588},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5628547668457031},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.554487407207489},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5270295739173889},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5164027810096741},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.49870944023132324},{"id":"https://openalex.org/C32610155","wikidata":"https://www.wikidata.org/wiki/Q1798621","display_name":"Approximate string matching","level":3,"score":0.45438894629478455},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4350453317165375},{"id":"https://openalex.org/C7757238","wikidata":"https://www.wikidata.org/wiki/Q374040","display_name":"String searching algorithm","level":3,"score":0.38962364196777344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24222558736801147},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.22667095065116882},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11785992980003357},{"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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1807167.1807266","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1807167.1807266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 ACM SIGMOD International Conference on Management of data","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/41178","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/41178","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"is_oa":false,"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":"Scopus","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":26,"referenced_works":["https://openalex.org/W1968570655","https://openalex.org/W1969844791","https://openalex.org/W1970026646","https://openalex.org/W1974995373","https://openalex.org/W1982055477","https://openalex.org/W2012010763","https://openalex.org/W2096598900","https://openalex.org/W2097776316","https://openalex.org/W2105423800","https://openalex.org/W2105436061","https://openalex.org/W2107293766","https://openalex.org/W2121516976","https://openalex.org/W2127675794","https://openalex.org/W2131815873","https://openalex.org/W2150916025","https://openalex.org/W2158779275","https://openalex.org/W2161694911","https://openalex.org/W2161936973","https://openalex.org/W2162592052","https://openalex.org/W2167847032","https://openalex.org/W3019365222","https://openalex.org/W3145128584","https://openalex.org/W4285719527","https://openalex.org/W6674576723","https://openalex.org/W6683401941","https://openalex.org/W7029321148"],"related_works":["https://openalex.org/W2187092961","https://openalex.org/W2399644331","https://openalex.org/W2405436873","https://openalex.org/W52396946","https://openalex.org/W1824878879","https://openalex.org/W1995303482","https://openalex.org/W2049161828","https://openalex.org/W1998140328","https://openalex.org/W2131677984","https://openalex.org/W2043481183"],"abstract_inverted_index":{"Strings":[0],"are":[1,116],"ubiquitous":[2],"in":[3,18,27,52,81,129],"computer":[4,16],"systems":[5],"and":[6,60,101,123],"hence":[7],"string":[8,28],"processing":[9,29],"has":[10],"attracted":[11],"extensive":[12],"research":[13],"effort":[14],"from":[15],"scientists":[17],"diverse":[19],"areas.":[20],"One":[21],"of":[22,66,85],"the":[23,34,77],"most":[24,78],"important":[25],"problems":[26],"is":[30,48,76],"to":[31],"efficiently":[32],"evaluate":[33],"similarity":[35,43,46,91],"between":[36],"two":[37],"strings":[38,70],"based":[39,94],"on":[40,69,95,106],"a":[41,49,63,82],"specified":[42],"measure.":[44],"String":[45],"search":[47,92],"fundamental":[50],"problem":[51],"information":[53],"retrieval,":[54],"database":[55],"cleaning,":[56],"biological":[57],"sequence":[58],"analysis,":[59],"more.":[61],"While":[62],"large":[64],"number":[65],"dissimilarity":[67],"measures":[68],"have":[71],"been":[72],"proposed,":[73],"edit":[74,96],"distance":[75],"popular":[79],"choice":[80],"wide":[83],"spectrum":[84],"applications.":[86],"Existing":[87],"indexing":[88],"techniques":[89,115],"for":[90,118],"queries":[93],"distance,":[97],"e.g.,":[98],"approximate":[99],"selection":[100],"join":[102],"queries,":[103],"rely":[104],"mostly":[105],"n-gram":[107],"signatures":[108],"coupled":[109],"with":[110,131],"inverted":[111],"list":[112],"structures.":[113],"These":[114],"tailored":[117],"specific":[119],"query":[120],"types":[121],"only,":[122],"their":[124],"performance":[125],"remains":[126],"unsatisfactory":[127],"especially":[128],"scenarios":[130],"strict":[132],"memory":[133],"constraints":[134],"or":[135],"frequent":[136],"data":[137],"updates.":[138],"In":[139],"this":[140],"paper":[141]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":14},{"year":2014,"cited_by_count":14},{"year":2013,"cited_by_count":15},{"year":2012,"cited_by_count":10}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}