{"id":"https://openalex.org/W4388819977","doi":"https://doi.org/10.1109/tkde.2023.3334300","title":"RNP-Miner: Repetitive Nonoverlapping Sequential Pattern Mining","display_name":"RNP-Miner: Repetitive Nonoverlapping Sequential Pattern Mining","publication_year":2023,"publication_date":"2023-11-20","ids":{"openalex":"https://openalex.org/W4388819977","doi":"https://doi.org/10.1109/tkde.2023.3334300"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2023.3334300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3334300","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5106698563","display_name":"Meng Geng","orcid":"https://orcid.org/0009-0003-6806-4553"},"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":"Meng Geng","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","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":false,"raw_author_name":"Youxi Wu","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380302","display_name":"Yan Li","orcid":"https://orcid.org/0000-0002-1126-9772"},"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":"Yan Li","raw_affiliation_strings":["School of Economics and Management, Hebei University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374956","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0002-0232-1444"},"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":"Jing Liu","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038682039","display_name":"Philippe Fournier\u2010Viger","orcid":"https://orcid.org/0000-0002-7680-9899"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Philippe Fournier-Viger","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"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 and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"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/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xindong Wu","raw_affiliation_strings":["Research Center for Knowledge Engineering, Zhejiang Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Knowledge Engineering, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5106698563"],"corresponding_institution_ids":["https://openalex.org/I184843921"],"apc_list":null,"apc_paid":null,"fwci":10.0211,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.98161767,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"36","issue":"9","first_page":"4874","last_page":"4889"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9362000226974487,"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/computer-science","display_name":"Computer science","score":0.7848613858222961},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6674906611442566},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.6671154499053955},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6108298301696777},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5669323801994324},{"id":"https://openalex.org/keywords/sequence-database","display_name":"Sequence database","score":0.5359732508659363},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.42263495922088623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34698307514190674},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3457137942314148},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11549487709999084}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7848613858222961},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6674906611442566},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.6671154499053955},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6108298301696777},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5669323801994324},{"id":"https://openalex.org/C41584329","wikidata":"https://www.wikidata.org/wiki/Q175902","display_name":"Sequence database","level":3,"score":0.5359732508659363},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.42263495922088623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34698307514190674},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3457137942314148},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11549487709999084},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2023.3334300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3334300","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1128271767","display_name":null,"funder_award_id":"62120106008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5992500747","display_name":null,"funder_award_id":"61976240","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8082894880","display_name":null,"funder_award_id":"62372154","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1488856884","https://openalex.org/W1641039719","https://openalex.org/W1966788367","https://openalex.org/W1985716338","https://openalex.org/W1990800901","https://openalex.org/W2029955663","https://openalex.org/W2068383400","https://openalex.org/W2112971308","https://openalex.org/W2142827986","https://openalex.org/W2168196587","https://openalex.org/W2297283352","https://openalex.org/W2550062805","https://openalex.org/W2567142519","https://openalex.org/W2758905143","https://openalex.org/W2762034449","https://openalex.org/W2768284362","https://openalex.org/W2799813871","https://openalex.org/W2801870222","https://openalex.org/W2803163798","https://openalex.org/W2804685987","https://openalex.org/W2894761743","https://openalex.org/W2901050187","https://openalex.org/W2909794169","https://openalex.org/W2914790282","https://openalex.org/W2963212997","https://openalex.org/W2963904543","https://openalex.org/W2973857687","https://openalex.org/W2983146142","https://openalex.org/W2997546679","https://openalex.org/W3001340981","https://openalex.org/W3006291958","https://openalex.org/W3007713653","https://openalex.org/W3012405335","https://openalex.org/W3013769259","https://openalex.org/W3038220444","https://openalex.org/W3041824740","https://openalex.org/W3046961612","https://openalex.org/W3089065677","https://openalex.org/W3102927519","https://openalex.org/W3119260152","https://openalex.org/W3132245688","https://openalex.org/W3149458374","https://openalex.org/W3161620509","https://openalex.org/W3161798535","https://openalex.org/W3169551350","https://openalex.org/W3177259441","https://openalex.org/W3183930927","https://openalex.org/W3185497437","https://openalex.org/W3191240255","https://openalex.org/W3199517509","https://openalex.org/W3199713267","https://openalex.org/W3210621838","https://openalex.org/W3212326024","https://openalex.org/W4200051806","https://openalex.org/W4200373901","https://openalex.org/W4206197977","https://openalex.org/W4206625749","https://openalex.org/W4210655911","https://openalex.org/W4210775951","https://openalex.org/W4221118047","https://openalex.org/W4225272929","https://openalex.org/W4280591200","https://openalex.org/W4285612676","https://openalex.org/W4289766427","https://openalex.org/W4292622242","https://openalex.org/W4313639335","https://openalex.org/W4315631098","https://openalex.org/W4319866307","https://openalex.org/W4327920415","https://openalex.org/W6680970901"],"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":{"Sequential":[0],"pattern":[1,46,70,95,114],"mining":[2,97],"(SPM)":[3],"is":[4],"an":[5,112],"important":[6],"branch":[7],"of":[8,30,59,66,68,77,79,91,107,121,140],"knowledge":[9],"discovery":[10],"that":[11,155],"aims":[12],"to":[13],"mine":[14],"frequent":[15,175],"sub-sequences":[16],"(patterns)":[17],"in":[18,71],"a":[19,44,49,166],"sequential":[20,94],"database.":[21],"Various":[22],"SPM":[23,34,52],"methods":[24,38],"have":[25],"been":[26],"investigated,":[27],"and":[28,98,145,161,173,186],"most":[29],"them":[31],"are":[32],"classical":[33,174],"methods,":[35],"since":[36],"these":[37],"only":[39,54],"consider":[40],"whether":[41],"or":[42],"not":[43],"given":[45],"occurs":[47],"within":[48],"sequence.":[50],"Classical":[51],"can":[53,164,187],"find":[55],"the":[56,64,69,75,89,100,105,119,126,133,138,158,178,183],"common":[57],"features":[58],"sequences,":[60],"but":[61],"it":[62],"ignores":[63],"number":[65,106],"occurrences":[67],"each":[72],"sequence,":[73],"i.e.,":[74],"degree":[76],"interest":[78],"specific":[80],"users.":[81],"To":[82,103,117,136],"solve":[83],"this":[84,86],"problem,":[85],"paper":[87],"addresses":[88],"issue":[90],"repetitive":[92],"nonoverlapping":[93],"(RNP)":[96],"proposes":[99],"RNP-Miner":[101,110,124,156],"algorithm.":[102],"reduce":[104],"candidate":[108,127],"patterns,":[109],"adopts":[111],"itemset":[113],"join":[115],"strategy.":[116],"improve":[118],"efficiency":[120],"support":[122,128],"calculation,":[123],"utilizes":[125],"calculation":[129],"algorithm":[130],"based":[131],"on":[132],"position":[134],"dictionary.":[135],"validate":[137],"performance":[139,169],"RNP-Miner,":[141],"10":[142],"competitive":[143],"algorithms":[144,179],"20":[146],"sequence":[147],"databases":[148],"were":[149,180],"selected.":[150],"The":[151],"experimental":[152],"results":[153],"verify":[154],"outperforms":[157],"other":[159],"algorithms,":[160],"using":[162,182],"RNPs":[163],"achieve":[165],"better":[167],"clustering":[168],"than":[170],"raw":[171],"data":[172],"patterns.":[176],"All":[177],"developed":[181],"PyCharm":[184],"environment":[185],"be":[188],"downloaded":[189],"from":[190],"<uri":[191],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[192],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/wuc567/Pattern-Mining/tree/master/RNP-Miner</uri>":[193],".":[194]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
