{"id":"https://openalex.org/W2407924934","doi":"https://doi.org/10.1177/0165551515603286","title":"Approximate pattern matching with gap constraints","display_name":"Approximate pattern matching with gap constraints","publication_year":2015,"publication_date":"2015-09-21","ids":{"openalex":"https://openalex.org/W2407924934","doi":"https://doi.org/10.1177/0165551515603286","mag":"2407924934"},"language":"en","primary_location":{"id":"doi:10.1177/0165551515603286","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551515603286","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","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/A5034766193","display_name":"Youxi Wu","orcid":"https://orcid.org/0000-0001-5314-3468"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Youxi Wu","raw_affiliation_strings":["Hebei University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei University of Technology, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101596189","display_name":"Zhiqiang Tang","orcid":"https://orcid.org/0000-0003-0710-3056"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Tang","raw_affiliation_strings":["Hebei University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei University of Technology, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002119636","display_name":"He Jiang","orcid":"https://orcid.org/0000-0001-8674-4948"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Jiang","raw_affiliation_strings":["Dalian University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080738591","display_name":"Xindong Wu","orcid":"https://orcid.org/0000-0003-2396-1704"},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]},{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xindong Wu","raw_affiliation_strings":["Hefei University of Technology, China","University of Vermont, Vermont, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"University of Vermont, Vermont, USA","institution_ids":["https://openalex.org/I111236770"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034766193"],"corresponding_institution_ids":["https://openalex.org/I184843921"],"apc_list":null,"apc_paid":null,"fwci":2.2259,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.91068626,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"42","issue":"5","first_page":"639","last_page":"658"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9994000196456909,"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":0.9994000196456909,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991000294685364,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9897000193595886,"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/pattern-matching","display_name":"Pattern matching","score":0.7159578204154968},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6828120946884155},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.5745614767074585},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5673165917396545},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5240780711174011},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.47250378131866455},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46949365735054016},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4565219283103943},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.42816615104675293},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.41780680418014526},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3672275245189667},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3667294979095459},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36223524808883667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17001193761825562},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12121531367301941},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12031185626983643}],"concepts":[{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.7159578204154968},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6828120946884155},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.5745614767074585},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5673165917396545},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5240780711174011},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.47250378131866455},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46949365735054016},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4565219283103943},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.42816615104675293},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.41780680418014526},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3672275245189667},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3667294979095459},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36223524808883667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17001193761825562},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12121531367301941},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12031185626983643},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":1,"locations":[{"id":"doi:10.1177/0165551515603286","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551515603286","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W65074611","https://openalex.org/W136395746","https://openalex.org/W1514735749","https://openalex.org/W1516545470","https://openalex.org/W1578211883","https://openalex.org/W1632950138","https://openalex.org/W1985679169","https://openalex.org/W1986079495","https://openalex.org/W1998959019","https://openalex.org/W2022798908","https://openalex.org/W2029955663","https://openalex.org/W2033376980","https://openalex.org/W2053767428","https://openalex.org/W2057804984","https://openalex.org/W2069322122","https://openalex.org/W2085218027","https://openalex.org/W2090509093","https://openalex.org/W2096126105","https://openalex.org/W2097479083","https://openalex.org/W2110723042","https://openalex.org/W2114916707","https://openalex.org/W2122115411","https://openalex.org/W2130362787","https://openalex.org/W2133635442","https://openalex.org/W2150045644","https://openalex.org/W2157306707","https://openalex.org/W2314838724","https://openalex.org/W2332853879","https://openalex.org/W2370057411","https://openalex.org/W2531563875","https://openalex.org/W4231781903","https://openalex.org/W4243744905","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4320461967","https://openalex.org/W2122048245","https://openalex.org/W2390249165","https://openalex.org/W2788984639","https://openalex.org/W2112802553","https://openalex.org/W2058384243","https://openalex.org/W3133848991","https://openalex.org/W2800408919","https://openalex.org/W2376253402","https://openalex.org/W2437834119"],"abstract_inverted_index":{"Pattern":[0],"matching":[1,16,28,36,50],"is":[2,57],"a":[3,30,38,96,129],"key":[4],"issue":[5],"in":[6,71],"sequential":[7],"pattern":[8,15,27,35,49,66,88,152,167],"mining.":[9],"Many":[10],"researchers":[11],"now":[12],"focus":[13],"on":[14,95],"with":[17,52,68,90],"gap":[18,69,91],"constraints.":[19],"However,":[20],"most":[21],"of":[22,33,62,65,145,166,181],"these":[23],"studies":[24],"involve":[25],"exact":[26],"problems,":[29],"special":[31],"case":[32],"approximate":[34,48,63,87,147],"and":[37,110,137,159,179],"more":[39,161],"challenging":[40],"task.":[41],"In":[42],"this":[43],"study,":[44],"we":[45],"introduce":[46],"an":[47,80,113],"problem":[51],"Hamming":[53],"distance.":[54],"Its":[55],"objective":[56],"to":[58,103,151],"compute":[59],"the":[60,106,117,143,146,177],"number":[61],"occurrences":[64,148],"P":[67,153],"constraints":[70,92],"sequence":[72],"S":[73],"under":[74],"similarity":[75],"constraint":[76],"d.":[77],"We":[78],"propose":[79],"efficient":[81],"algorithm":[82],"named":[83],"Single-rOot":[84],"Nettree":[85,102],"for":[86,172],"matchinG":[89],"(SONG)":[93],"based":[94],"new":[97],"non-linear":[98],"data":[99,175],"structure":[100],"Single-root":[101],"effectively":[104],"solve":[105],"problem.":[107],"Theoretical":[108],"analysis":[109],"experiments":[111],"demonstrate":[112],"interesting":[114],"law":[115],"that":[116],"ratio":[118],"M(":[119,133],"P,":[120,124,134,139],"S,":[121,125,135,140],"d)/":[122],"N(":[123,138],"m)":[126,141,158],"approximately":[127],"follows":[128],"binomial":[130],"distribution,":[131],"where":[132],"d)":[136],"are":[142,154],"numbers":[144],"whose":[149],"distances":[150],"d":[155],"(0\u2264":[156],"d\u2264":[157],"no":[160],"than":[162],"m":[163],"(the":[164],"length":[165],"P),":[168],"respectively.":[169],"Experimental":[170],"results":[171],"real":[173],"biological":[174],"validate":[176],"efficiency":[178],"effectiveness":[180],"SONG.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
