{"id":"https://openalex.org/W2124695969","doi":"https://doi.org/10.1109/iri.2007.4296642","title":"Mining Frequent Patterns with Wildcards from Biological Sequences","display_name":"Mining Frequent Patterns with Wildcards from Biological Sequences","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W2124695969","doi":"https://doi.org/10.1109/iri.2007.4296642","mag":"2124695969"},"language":"en","primary_location":{"id":"doi:10.1109/iri.2007.4296642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2007.4296642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Information Reuse and Integration","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/A5042628946","display_name":"Yu He","orcid":"https://orcid.org/0000-0003-1323-4730"},"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"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yu He","raw_affiliation_strings":["Department of Computer Science, University of Vermont, Burlington, VT, USA","University of Vermont, Burlington,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Vermont, Burlington, VT, USA","institution_ids":["https://openalex.org/I111236770"]},{"raw_affiliation_string":"University of Vermont, Burlington,","institution_ids":["https://openalex.org/I111236770"]}]},{"author_position":"middle","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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xindong Wu","raw_affiliation_strings":["Department of Computer Science, University of Vermont, Burlington, VT, USA","University of Vermont, Burlington,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Vermont, Burlington, VT, USA","institution_ids":["https://openalex.org/I111236770"]},{"raw_affiliation_string":"University of Vermont, Burlington,","institution_ids":["https://openalex.org/I111236770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084641325","display_name":"Xingquan Zhu","orcid":"https://orcid.org/0000-0003-4129-9611"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xingquan Zhu","raw_affiliation_strings":["Department of Computer Science & Engineering, Florida Atlanticiv, Boca Raton, FL, USA","Dept. of Computer Science & Engineering, Florida Atlantic University, Boca Raton, FL 33431. xqzhu@cse.fau.edu"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Florida Atlanticiv, Boca Raton, FL, USA","institution_ids":["https://openalex.org/I63772739"]},{"raw_affiliation_string":"Dept. of Computer Science & Engineering, Florida Atlantic University, Boca Raton, FL 33431. xqzhu@cse.fau.edu","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072963545","display_name":"Abdullah N. Arslan","orcid":"https://orcid.org/0000-0002-3979-6371"},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdullah N. Arslan","raw_affiliation_strings":["Department of Computer Science, University of Vermont, Burlington, VT, USA","Dept. of Computer Science, University of Vermont, Burlington, VT 05401. aarslan@cs.uvm.edu"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Vermont, Burlington, VT, USA","institution_ids":["https://openalex.org/I111236770"]},{"raw_affiliation_string":"Dept. of Computer Science, University of Vermont, Burlington, VT 05401. aarslan@cs.uvm.edu","institution_ids":["https://openalex.org/I111236770"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5042628946"],"corresponding_institution_ids":["https://openalex.org/I111236770"],"apc_list":null,"apc_paid":null,"fwci":3.165,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.930735,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"329","last_page":"334"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9754999876022339,"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/heuristic","display_name":"Heuristic","score":0.7620996236801147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7357471585273743},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6445404291152954},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6255801916122437},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.6066832542419434},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5845891833305359},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5442254543304443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3950038254261017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26031360030174255},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14671337604522705}],"concepts":[{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.7620996236801147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7357471585273743},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6445404291152954},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6255801916122437},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.6066832542419434},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5845891833305359},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5442254543304443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3950038254261017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26031360030174255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14671337604522705},{"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iri.2007.4296642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2007.4296642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Information Reuse and Integration","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W136395746","https://openalex.org/W1484413656","https://openalex.org/W1514735749","https://openalex.org/W1520949038","https://openalex.org/W1608194207","https://openalex.org/W2053767428","https://openalex.org/W2072783440","https://openalex.org/W2119423166","https://openalex.org/W2145635625","https://openalex.org/W2147694185","https://openalex.org/W2150045644","https://openalex.org/W2151077154","https://openalex.org/W2151198139","https://openalex.org/W2153517105","https://openalex.org/W2158454296"],"related_works":["https://openalex.org/W2390900636","https://openalex.org/W4390176295","https://openalex.org/W2112284452","https://openalex.org/W4285106477","https://openalex.org/W2370815826","https://openalex.org/W2433057514","https://openalex.org/W2373436826","https://openalex.org/W2167961874","https://openalex.org/W2035653613","https://openalex.org/W2136066520"],"abstract_inverted_index":{"Frequent":[0],"pattern":[1,100],"mining":[2,101],"from":[3],"sequences":[4],"is":[5,45,79,107,123],"a":[6,50,58,72,98,112,115,168],"crucial":[7],"step":[8],"for":[9,160],"many":[10,32],"domain":[11],"experts,":[12],"such":[13,53],"as":[14],"molecular":[15],"biologists,":[16],"to":[17,28,37,48,61,81,85,151],"discover":[18],"rules":[19],"or":[20],"patterns":[21,90,139],"hidden":[22],"in":[23,182],"their":[24],"data.":[25,166],"In":[26,42,56,95],"order":[27],"find":[29,89],"specific":[30,169],"patterns,":[31],"existing":[33],"tools":[34],"require":[35,71],"users":[36],"specify":[38],"gap":[39,54,63,93,105],"constraints":[40,106],"beforehand.":[41],"reality,":[43],"it":[44,78],"often":[46],"nontrivial":[47],"let":[49],"user":[51],"provide":[52],"constraints.":[55,94],"addition,":[57],"change":[59],"made":[60],"the":[62,127,157,171,176,183,187],"values":[64],"may":[65],"give":[66],"completely":[67],"different":[68],"results,":[69],"and":[70,87,109,114,155,163],"separate":[73],"time-consuming":[74],"re-mining":[75],"procedure.":[76],"Consequently":[77],"desirable":[80],"develop":[82],"an":[83],"algorithm":[84],"automatically":[86],"efficiently":[88],"without":[91,103],"user-specified":[92,104],"this":[96],"paper,":[97],"frequent":[99,135,153],"problem":[102],"presented":[108],"studied.":[110],"Given":[111,167],"sequence":[113],"support":[116,122,159,189],"threshold":[117,129],"value,":[118],"all":[119],"subsequences":[120,136,154],"whose":[121],"not":[124],"less":[125],"than":[126,192],"given":[128],"value":[130],"will":[131],"be":[132],"discovered.":[133],"These":[134],"then":[137],"form":[138],"later":[140],"on.":[141],"Two":[142],"heuristic":[143,179],"methods":[144],"(one-way":[145],"vs":[146],"two-way":[147],"scan)":[148],"are":[149],"proposed":[150],"mine":[152],"estimate":[156],"maximum":[158,188],"both":[161],"artificial":[162],"real":[164],"world":[165],"pattern,":[170],"simulated":[172],"results":[173],"demonstrate":[174],"that":[175],"one-way":[177],"scan":[178],"performs":[180],"better":[181],"sense":[184],"of":[185],"estimating":[186],"with":[190],"more":[191],"ninety":[193],"percent":[194],"accuracy.":[195]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}