{"id":"https://openalex.org/W2155801378","doi":"https://doi.org/10.1109/icde.2010.5447836","title":"Approximate string search in spatial databases","display_name":"Approximate string search in spatial databases","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2155801378","doi":"https://doi.org/10.1109/icde.2010.5447836","mag":"2155801378"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2010.5447836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2010.5447836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)","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/A5100757927","display_name":"Bin Yao","orcid":"https://orcid.org/0000-0002-6478-4209"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bin Yao","raw_affiliation_strings":["Computer Science Department, Florida State University, Tallahassee, FL, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Florida State University, Tallahassee, FL, USA","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450462","display_name":"Li Fei-Fei","orcid":"https://orcid.org/0000-0002-7481-0810"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feifei Li","raw_affiliation_strings":["Computer Science Department, Florida State University, Tallahassee, FL, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Florida State University, Tallahassee, FL, USA","institution_ids":["https://openalex.org/I103163165"]}]},{"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 and T Research Laboratories, Florham Park, NJ, USA"],"affiliations":[{"raw_affiliation_string":"AT and T Research Laboratories, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018465217","display_name":"Kun Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kun Hou","raw_affiliation_strings":["Computer Science Department, Florida State University, Tallahassee, FL, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Florida State University, Tallahassee, FL, USA","institution_ids":["https://openalex.org/I103163165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100757927"],"corresponding_institution_ids":["https://openalex.org/I103163165"],"apc_list":null,"apc_paid":null,"fwci":10.8218,"has_fulltext":false,"cited_by_count":75,"citation_normalized_percentile":{"value":0.98920361,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"545","last_page":"556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9976999759674072,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9887999892234802,"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/computer-science","display_name":"Computer science","score":0.7456411719322205},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6775487661361694},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.652869701385498},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5856893062591553},{"id":"https://openalex.org/keywords/range-query","display_name":"Range query (database)","score":0.5591179728507996},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5578194260597229},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.509940505027771},{"id":"https://openalex.org/keywords/spatial-database","display_name":"Spatial database","score":0.5018837451934814},{"id":"https://openalex.org/keywords/spatial-query","display_name":"Spatial query","score":0.5001111030578613},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49657779932022095},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.495730996131897},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.4951287806034088},{"id":"https://openalex.org/keywords/search-tree","display_name":"Search tree","score":0.4757692217826843},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4750138223171234},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4711624085903168},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.4586051404476166},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.4456685483455658},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4395488202571869},{"id":"https://openalex.org/keywords/string-searching-algorithm","display_name":"String searching algorithm","score":0.4143093228340149},{"id":"https://openalex.org/keywords/fractal-tree-index","display_name":"Fractal tree index","score":0.41317492723464966},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3311541676521301},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.2949589490890503},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.2949379086494446},{"id":"https://openalex.org/keywords/interval-tree","display_name":"Interval tree","score":0.25132885575294495},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.24794191122055054},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.2458595633506775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20094481110572815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1966920793056488},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.18721145391464233},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.1668788194656372},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.13724151253700256},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.13107216358184814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7456411719322205},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6775487661361694},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.652869701385498},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5856893062591553},{"id":"https://openalex.org/C136736807","wikidata":"https://www.wikidata.org/wiki/Q818943","display_name":"Range query (database)","level":5,"score":0.5591179728507996},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5578194260597229},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.509940505027771},{"id":"https://openalex.org/C203689450","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial database","level":3,"score":0.5018837451934814},{"id":"https://openalex.org/C172722865","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial query","level":5,"score":0.5001111030578613},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49657779932022095},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.495730996131897},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.4951287806034088},{"id":"https://openalex.org/C207024777","wikidata":"https://www.wikidata.org/wiki/Q621673","display_name":"Search tree","level":3,"score":0.4757692217826843},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4750138223171234},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4711624085903168},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4586051404476166},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.4456685483455658},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4395488202571869},{"id":"https://openalex.org/C7757238","wikidata":"https://www.wikidata.org/wiki/Q374040","display_name":"String searching algorithm","level":3,"score":0.4143093228340149},{"id":"https://openalex.org/C163736687","wikidata":"https://www.wikidata.org/wiki/Q17014592","display_name":"Fractal tree index","level":5,"score":0.41317492723464966},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3311541676521301},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.2949589490890503},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.2949379086494446},{"id":"https://openalex.org/C84927040","wikidata":"https://www.wikidata.org/wiki/Q6057306","display_name":"Interval tree","level":4,"score":0.25132885575294495},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.24794191122055054},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.2458595633506775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20094481110572815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1966920793056488},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.18721145391464233},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.1668788194656372},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.13724151253700256},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.13107216358184814},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icde.2010.5447836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2010.5447836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.150.4139","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.150.4139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.att.com/~marioh/papers/icde10.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.160.9951","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.160.9951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.att.com/~marioh/papers/icde10.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W125979907","https://openalex.org/W1578664299","https://openalex.org/W1887000090","https://openalex.org/W1965996575","https://openalex.org/W1984057771","https://openalex.org/W1985875030","https://openalex.org/W1990111898","https://openalex.org/W1991800036","https://openalex.org/W1993831977","https://openalex.org/W2006307108","https://openalex.org/W2041851430","https://openalex.org/W2043481183","https://openalex.org/W2046144220","https://openalex.org/W2074409795","https://openalex.org/W2091638028","https://openalex.org/W2096598900","https://openalex.org/W2097880962","https://openalex.org/W2098388305","https://openalex.org/W2098571654","https://openalex.org/W2102462631","https://openalex.org/W2105423800","https://openalex.org/W2118269922","https://openalex.org/W2121516976","https://openalex.org/W2123020735","https://openalex.org/W2136716899","https://openalex.org/W2140048308","https://openalex.org/W2144661390","https://openalex.org/W2151135734","https://openalex.org/W2158779275","https://openalex.org/W2159945133","https://openalex.org/W2161936973","https://openalex.org/W2162102353","https://openalex.org/W2162592052","https://openalex.org/W2167439683","https://openalex.org/W2167847032","https://openalex.org/W2971301549","https://openalex.org/W2997027240","https://openalex.org/W3003570628","https://openalex.org/W4242599275","https://openalex.org/W6634653531","https://openalex.org/W6639582041","https://openalex.org/W6648324532","https://openalex.org/W6674576723","https://openalex.org/W6674621452","https://openalex.org/W6683401941","https://openalex.org/W6684720995"],"related_works":["https://openalex.org/W2387583461","https://openalex.org/W132930353","https://openalex.org/W2123785547","https://openalex.org/W3010866444","https://openalex.org/W4244865464","https://openalex.org/W2183317059","https://openalex.org/W2381731501","https://openalex.org/W3130906774","https://openalex.org/W2765524947","https://openalex.org/W2352890891"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,45,87,112],"novel":[4,113],"index":[5,41,83],"structure,":[6],"MHR-tree,":[7],"for":[8,39,116],"efficiently":[9],"answering":[10],"approximate":[11],"string":[12,75,125],"match":[13],"queries":[14],"in":[15,128],"large":[16,134],"spatial":[17,123],"databases.":[18],"The":[19,36],"MHR-tree":[20,85],"is":[21],"based":[22,68],"on":[23,69,133],"the":[24,28,32,49,56,62,73,77,80,122,129,139],"R-tree":[25],"augmented":[26],"with":[27],"min-wise":[29,37],"signature":[30,38],"and":[31,76,96,124,141],"linear":[33],"hashing":[34],"technique.":[35],"an":[40],"node":[42],"u":[43],"keeps":[44],"concise":[46],"representation":[47],"of":[48,51,58,65,82,90,143],"union":[50],"q-grams":[52,78],"from":[53,79],"strings":[54],"under":[55],"sub-tree":[57],"u.":[59],"We":[60,100,110],"analyze":[61],"pruning":[63],"functionality":[64],"such":[66],"signatures":[67],"set":[70],"resemblance":[71],"between":[72],"query":[74,91,107],"sub-trees":[81],"nodes.":[84],"supports":[86],"wide":[88],"range":[89,95,106],"predicates":[92],"efficiently,":[93],"including":[94],"nearest":[97],"neighbor":[98],"queries.":[99],"also":[101],"discuss":[102],"how":[103],"to":[104],"estimate":[105],"selectivity":[108],"accurately.":[109],"present":[111],"adaptive":[114],"algorithm":[115],"finding":[117],"balanced":[118],"partitions":[119],"using":[120],"both":[121],"information":[126],"stored":[127],"tree.":[130],"Extensive":[131],"experiments":[132],"real":[135],"data":[136],"sets":[137],"demonstrate":[138],"efficiency":[140],"effectiveness":[142],"our":[144],"approach.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":16}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}