{"id":"https://openalex.org/W2038397187","doi":"https://doi.org/10.1109/grc.2009.5255169","title":"The Maximal Frequent Pattern mining of DNA sequence","display_name":"The Maximal Frequent Pattern mining of DNA sequence","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2038397187","doi":"https://doi.org/10.1109/grc.2009.5255169","mag":"2038397187"},"language":"en","primary_location":{"id":"doi:10.1109/grc.2009.5255169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2009.5255169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Granular Computing","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/A5100856665","display_name":"Shuang Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuang Bai","raw_affiliation_strings":["Department of Computer Science and Technology, University of Nanchang, Nanchang, China","Department of Computer Science and Technology, Nanchang University, 330031, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Nanchang, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Nanchang University, 330031, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100935943","display_name":"Bai Si-xue","orcid":null},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si-Xue Bai","raw_affiliation_strings":["Department of Computer Science and Technology, University of Nanchang, Nanchang, China","Department of Computer Science and Technology, Nanchang University, 330031, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Nanchang, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Nanchang University, 330031, China","institution_ids":["https://openalex.org/I141649914"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100856665"],"corresponding_institution_ids":["https://openalex.org/I141649914"],"apc_list":null,"apc_paid":null,"fwci":1.4806,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.88012401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"43","issue":null,"first_page":"23","last_page":"26"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9943000078201294,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9919000267982483,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.7772392630577087},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.5990046262741089},{"id":"https://openalex.org/keywords/dna","display_name":"DNA","score":0.533548891544342},{"id":"https://openalex.org/keywords/dna-sequencing","display_name":"DNA sequencing","score":0.523193359375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5028354525566101},{"id":"https://openalex.org/keywords/sequence-database","display_name":"Sequence database","score":0.46474096179008484},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.4549334943294525},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4408488869667053},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4369122385978699},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2277194857597351},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18184050917625427},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.16222456097602844}],"concepts":[{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.7772392630577087},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.5990046262741089},{"id":"https://openalex.org/C552990157","wikidata":"https://www.wikidata.org/wiki/Q7430","display_name":"DNA","level":2,"score":0.533548891544342},{"id":"https://openalex.org/C51679486","wikidata":"https://www.wikidata.org/wiki/Q380546","display_name":"DNA sequencing","level":3,"score":0.523193359375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5028354525566101},{"id":"https://openalex.org/C41584329","wikidata":"https://www.wikidata.org/wiki/Q175902","display_name":"Sequence database","level":3,"score":0.46474096179008484},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4549334943294525},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4408488869667053},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4369122385978699},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2277194857597351},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18184050917625427},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.16222456097602844},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/grc.2009.5255169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2009.5255169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Granular Computing","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":8,"referenced_works":["https://openalex.org/W1986925690","https://openalex.org/W2043449219","https://openalex.org/W2055043387","https://openalex.org/W2102716925","https://openalex.org/W2168196587","https://openalex.org/W4236236547","https://openalex.org/W4249181092","https://openalex.org/W6830600432"],"related_works":["https://openalex.org/W2391115647","https://openalex.org/W1964670850","https://openalex.org/W2388168350","https://openalex.org/W2012697571","https://openalex.org/W2069759208","https://openalex.org/W2037896692","https://openalex.org/W2797268647","https://openalex.org/W2390900636","https://openalex.org/W2532889016","https://openalex.org/W2136066520"],"abstract_inverted_index":{"The":[0,15,46,120],"DNA":[1,16,44,60,68,87,126],"sequence":[2,17,127],"data":[3,11,128],"is":[4,50],"one":[5],"of":[6,37,58,66,85],"the":[7,30,43,54,59,64,67,70,73,80,86,90,109,113,117,125],"basic":[8],"and":[9,24,56],"important":[10],"among":[12],"biological":[13],"data.":[14],"pattern":[18,32,49,76,93,103],"mining":[19,33,84],"has":[20],"got":[21],"wide":[22],"attention":[23],"rapid":[25],"development.":[26],"Traditional":[27],"algorithms":[28],"for":[29,79],"sequential":[31],"may":[34],"generate":[35],"lots":[36],"redundant":[38],"patterns":[39,83],"when":[40],"dealing":[41],"with":[42,124],"sequence.":[45,61,88],"maximal":[47,75,81,91,101],"frequent":[48,82,92,102],"preferable":[51],"to":[52],"express":[53],"function":[55],"structure":[57],"Base":[62],"on":[63,96],"characteristics":[65],"sequence,":[69],"author":[71],"develops":[72],"joined":[74],"segments":[77,94],"algorithm-JMPS,":[78],"First,":[89],"base":[95],"adjacent":[97],"generated.":[98],"Then,":[99],"longer":[100],"can":[104,122],"be":[105],"obtained":[106],"by":[107],"combining":[108],"above":[110],"segments,":[111],"at":[112],"same":[114],"time":[115],"deleting":[116],"nonmaximal":[118],"patterns.":[119],"algorithm":[121],"deal":[123],"efficiently.":[129]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}