{"id":"https://openalex.org/W2135390578","doi":"https://doi.org/10.1109/icdew.2008.4498355","title":"On the complexity of reverse similarity search","display_name":"On the complexity of reverse similarity search","publication_year":2008,"publication_date":"2008-04-01","ids":{"openalex":"https://openalex.org/W2135390578","doi":"https://doi.org/10.1109/icdew.2008.4498355","mag":"2135390578"},"language":"en","primary_location":{"id":"doi:10.1109/icdew.2008.4498355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdew.2008.4498355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 24th International Conference on Data Engineering Workshop","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/A5030735245","display_name":"Matthew Skala","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Matthew Skala","raw_affiliation_strings":["David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ONT, Canada","David R Cheriton School of Computer Science, University of Waterloo, Waterloo, ON"],"affiliations":[{"raw_affiliation_string":"David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"David R Cheriton School of Computer Science, University of Waterloo, Waterloo, ON","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5030735245"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.3733,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63860069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"436","last_page":"443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9959999918937683,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9901000261306763,"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/hamming-distance","display_name":"Hamming distance","score":0.6684449911117554},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6661776304244995},{"id":"https://openalex.org/keywords/edit-distance","display_name":"Edit distance","score":0.6643844842910767},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.6459957957267761},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5753090977668762},{"id":"https://openalex.org/keywords/minkowski-distance","display_name":"Minkowski distance","score":0.5697280168533325},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5435230135917664},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5205070376396179},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.489928662776947},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4816912114620209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46000152826309204},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.43806692957878113},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3651506304740906},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3228609561920166},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27403122186660767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25556766986846924}],"concepts":[{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.6684449911117554},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6661776304244995},{"id":"https://openalex.org/C44359876","wikidata":"https://www.wikidata.org/wiki/Q5338467","display_name":"Edit distance","level":2,"score":0.6643844842910767},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.6459957957267761},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5753090977668762},{"id":"https://openalex.org/C110765721","wikidata":"https://www.wikidata.org/wiki/Q2414361","display_name":"Minkowski distance","level":3,"score":0.5697280168533325},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5435230135917664},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5205070376396179},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.489928662776947},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4816912114620209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46000152826309204},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.43806692957878113},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3651506304740906},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3228609561920166},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27403122186660767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25556766986846924},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdew.2008.4498355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdew.2008.4498355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 24th International Conference on Data Engineering Workshop","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W4983232","https://openalex.org/W188174107","https://openalex.org/W1509316335","https://openalex.org/W1598819072","https://openalex.org/W1993058867","https://openalex.org/W2011015278","https://openalex.org/W2049644877","https://openalex.org/W2076287166","https://openalex.org/W2077595184","https://openalex.org/W2085634981","https://openalex.org/W2088101210","https://openalex.org/W2097921974","https://openalex.org/W2146112636","https://openalex.org/W2146482978","https://openalex.org/W2152479402","https://openalex.org/W2611147814","https://openalex.org/W4236055811","https://openalex.org/W4244343699","https://openalex.org/W6600203084","https://openalex.org/W6607659811","https://openalex.org/W6674878074"],"related_works":["https://openalex.org/W2934869655","https://openalex.org/W1494289317","https://openalex.org/W1992732116","https://openalex.org/W2300277393","https://openalex.org/W3009108","https://openalex.org/W2775228184","https://openalex.org/W4256576878","https://openalex.org/W4312786632","https://openalex.org/W4389080932","https://openalex.org/W1592861455"],"abstract_inverted_index":{"Two":[0],"decision":[1],"problems":[2,50,65],"are":[3,66,120],"presented":[4],"that":[5,154],"arise":[6],"from":[7,52,139],"reversing":[8],"the":[9,22,47,83,112,129,133,163],"operation":[10],"of":[11,35,70,77],"a":[12,25,33,40,44,55,75,116,140,160],"distance-based":[13],"indexing":[14],"tree.":[15],"Whereas":[16],"similarity":[17,29,59,135],"search":[18,30,60,136],"finds":[19],"points":[20],"in":[21,58,157],"tree":[23,98],"given":[24],"query":[26],"point,":[27],"reverse":[28,134],"begins":[31],"with":[32,74,80,103,162],"set":[34],"constraints":[36],"like":[37],"those":[38],"defining":[39],"leaf":[41],"and":[42,61,72,100],"generates":[43],"point":[45],"meeting":[46],"constraints.":[48],"These":[49],"derive":[51],"robust":[53],"hashing,":[54],"technique":[56],"used":[57],"security":[62],"applications.":[63],"The":[64],"analysed":[67],"for":[68,146,159],"spaces":[69],"strings":[71,79],"vectors":[73,102],"variety":[76],"metrics:":[78],"Hamming":[81],"distance;":[82,87,95],"usual":[84],"(Levenshtein)":[85],"edit":[86,89],"an":[88],"distance":[90,114],"we":[91],"introduce":[92],"called":[93],"Superghost":[94],"arbitrary":[96],"weighted":[97],"metrics;":[99],"real":[101],"Minkowski":[104],"L":[105,148],"<sub":[106,149],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[107,150],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">P</sub>":[108,151],"metrics":[109],"(of":[110],"which":[111],"Euclidean":[113,164],"is":[115,144,156],"special":[117],"case).":[118],"They":[119],"found":[121],"to":[122],"inhabit":[123],"different":[124],"complexity":[125],"classes":[126],"depending":[127],"on":[128],"metric.":[130,165],"In":[131],"particular,":[132],"problem":[137],"derived":[138],"VP-":[141],"or":[142],"GH-tree":[143,161],"NP-complete":[145],"any":[147],"metric":[152],"except":[153],"it":[155],"P":[158]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
