{"id":"https://openalex.org/W2029430310","doi":"https://doi.org/10.1142/s021800140700565x","title":"SUBSEQUENCE COUNTING AS A MEASURE OF SIMILARITY FOR SEQUENCES","display_name":"SUBSEQUENCE COUNTING AS A MEASURE OF SIMILARITY FOR SEQUENCES","publication_year":2007,"publication_date":"2007-06-01","ids":{"openalex":"https://openalex.org/W2029430310","doi":"https://doi.org/10.1142/s021800140700565x","mag":"2029430310"},"language":"en","primary_location":{"id":"doi:10.1142/s021800140700565x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021800140700565x","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5100460917","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0003-2633-6015"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"HUI WANG","raw_affiliation_strings":["School of Computing and Mathematics, University of Ulster at Jordanstown, BT37 0QB, Northern Ireland, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, University of Ulster at Jordanstown, BT37 0QB, Northern Ireland, UK","institution_ids":["https://openalex.org/I138801177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100460917"],"corresponding_institution_ids":["https://openalex.org/I138801177"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.08706299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"21","issue":"04","first_page":"745","last_page":"758"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9979000091552734,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/longest-common-subsequence-problem","display_name":"Longest common subsequence problem","score":0.8678365349769592},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6855273246765137},{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.6758372783660889},{"id":"https://openalex.org/keywords/longest-increasing-subsequence","display_name":"Longest increasing subsequence","score":0.665827214717865},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.6568551659584045},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6378812789916992},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5239149332046509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.504806637763977},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4915395677089691},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4665740728378296},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.44104400277137756},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37403592467308044},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.36371156573295593},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27565133571624756}],"concepts":[{"id":"https://openalex.org/C120098539","wikidata":"https://www.wikidata.org/wiki/Q141001","display_name":"Longest common subsequence problem","level":2,"score":0.8678365349769592},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6855273246765137},{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.6758372783660889},{"id":"https://openalex.org/C170006305","wikidata":"https://www.wikidata.org/wiki/Q4183855","display_name":"Longest increasing subsequence","level":4,"score":0.665827214717865},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.6568551659584045},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6378812789916992},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5239149332046509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.504806637763977},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4915395677089691},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4665740728378296},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.44104400277137756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37403592467308044},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.36371156573295593},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27565133571624756},{"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/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s021800140700565x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021800140700565x","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/bfceaa28-8919-43ab-9f46-6fe4fff6745e","is_oa":false,"landing_page_url":"https://pure.qub.ac.uk/en/publications/bfceaa28-8919-43ab-9f46-6fe4fff6745e","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wang, H 2007, 'Subsequence counting as a measure of similarity for sequences', International Journal of Pattern Recognition and Artificial Intelligence, vol. 21, no. 4, pp. 745-758.","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1982660309","https://openalex.org/W2006656002","https://openalex.org/W2012010763","https://openalex.org/W2027506564","https://openalex.org/W2069893028","https://openalex.org/W2145391482","https://openalex.org/W2152064395","https://openalex.org/W2162744351","https://openalex.org/W2172017522","https://openalex.org/W2598912124","https://openalex.org/W2990138404"],"related_works":["https://openalex.org/W4225868058","https://openalex.org/W3022573534","https://openalex.org/W2152064395","https://openalex.org/W4289596129","https://openalex.org/W1540010783","https://openalex.org/W3083981518","https://openalex.org/W3094761360","https://openalex.org/W25732909","https://openalex.org/W3013933387","https://openalex.org/W1974063126"],"abstract_inverted_index":{"The":[0,73,126,154,209],"longest":[1,25,136,172],"common":[2,26,42,55,137,173,223],"subsequence":[3,27,138,174],"is":[4,57,61,215],"a":[5,45,66,121,183,216],"well":[6],"known":[7],"and":[8,63,83,107,134],"popular":[9],"method":[10],"for":[11,143,150,188,220],"measuring":[12],"similarity":[13,49,68],"between":[14],"sequences.":[15],"It":[16],"advocates":[17],"the":[18,24,38,51,77,84,92,96,115,130,135,157,168,171,198,204],"use":[19],"of":[20,31,40,47,76,117,156,170,212,218],"information":[21,56],"contained":[22],"in":[23,114,197,203],"as":[28,44,163,178],"an":[29,89,112],"indication":[30],"similarity.":[32],"In":[33],"this":[34,105,213],"paper":[35,214],"we":[36,108,192],"consider":[37],"count":[39],"all":[41,54,222],"subsequences":[43,98,132,159],"measure":[46,60,106,133,139,160,175],"sequence":[48,123],"with":[50,81],"view":[52],"that":[53,129],"captured.":[58],"This":[59],"inspired":[62],"derived":[64],"from":[65,91],"generic":[67],"measure,":[69],"neighborhood":[70,78],"counting":[71,79],"metric.":[72],"close":[74],"connection":[75],"metric":[80],"probability":[82],"Bayes":[85],"classifier":[86],"helps":[87],"gain":[88],"insight":[90],"probabilistic":[93],"perspective":[94],"into":[95],"all-common":[97,131,158],"measure.":[99],"We":[100],"design":[101],"algorithms":[102,219],"to":[103],"calculate":[104],"also":[109,202],"carry":[110],"out":[111],"experiment":[113,127],"framework":[116],"k-nearest":[118],"neighbors":[119],"on":[120],"gene":[122],"classification":[124],"task.":[125],"shows":[128],"have":[140],"little":[141],"difference":[142],"small":[144],"k":[145,152,164,179,206],"values,":[146],"but":[147,167,201],"differ":[148],"significantly":[149],"large":[151],"values.":[153],"performance":[155,169],"remains":[161],"steady":[162],"gets":[165,180],"larger,":[166],"drops":[176],"sharply":[177],"larger.":[181],"Such":[182],"property":[184],"may":[185],"be":[186],"useful":[187],"those":[189],"tasks":[190],"where":[191],"are":[193],"interested":[194],"not":[195],"only":[196],"nearest":[199,207],"neighbor,":[200],"first":[205],"neighbors.":[208],"main":[210],"contribution":[211],"suite":[217],"finding":[221],"subsequences.":[224]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
