{"id":"https://openalex.org/W4319866307","doi":"https://doi.org/10.1109/tkde.2023.3241213","title":"MCoR-Miner: Maximal Co-Occurrence Nonoverlapping Sequential Rule Mining","display_name":"MCoR-Miner: Maximal Co-Occurrence Nonoverlapping Sequential Rule Mining","publication_year":2023,"publication_date":"2023-01-31","ids":{"openalex":"https://openalex.org/W4319866307","doi":"https://doi.org/10.1109/tkde.2023.3241213"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2023.3241213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3241213","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/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":true,"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/A5100438525","display_name":"Chengqi Zhang","orcid":"https://orcid.org/0000-0001-5715-7154"},"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":"Chang Zhang","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/A5028750131","display_name":"Jie Li","orcid":null},"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":"Jie 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/A5023025722","display_name":"Wei Song","orcid":"https://orcid.org/0000-0003-0649-8850"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Song","raw_affiliation_strings":["North China University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083305062","display_name":"Zhenlian Qi","orcid":"https://orcid.org/0009-0005-7484-9124"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenlian Qi","raw_affiliation_strings":["Guangdong Eco-Engineering Polytechnic, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Eco-Engineering Polytechnic, Guangzhou, China","institution_ids":[]}]},{"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":"last","author":{"id":"https://openalex.org/A5080738591","display_name":"Xindong Wu","orcid":"https://orcid.org/0000-0003-2396-1704"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Xindong Wu","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100380302"],"corresponding_institution_ids":["https://openalex.org/I184843921"],"apc_list":null,"apc_paid":null,"fwci":15.0316,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.98946047,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"35","issue":"9","first_page":"9531","last_page":"9546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":1.0,"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":1.0,"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":0.9890999794006348,"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/T11106","display_name":"Data Management and Algorithms","score":0.964900016784668,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7836912870407104},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6858890056610107},{"id":"https://openalex.org/keywords/prefix","display_name":"Prefix","score":0.5889374017715454},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.5549060106277466},{"id":"https://openalex.org/keywords/backtracking","display_name":"Backtracking","score":0.5287969708442688},{"id":"https://openalex.org/keywords/trie","display_name":"Trie","score":0.5204184651374817},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.5131223797798157},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.49004828929901123},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4610013961791992},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4606386125087738},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.43104687333106995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31605398654937744},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2549043893814087},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.22327086329460144},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1309995949268341}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836912870407104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6858890056610107},{"id":"https://openalex.org/C141603448","wikidata":"https://www.wikidata.org/wiki/Q134830","display_name":"Prefix","level":2,"score":0.5889374017715454},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.5549060106277466},{"id":"https://openalex.org/C156884757","wikidata":"https://www.wikidata.org/wiki/Q798554","display_name":"Backtracking","level":2,"score":0.5287969708442688},{"id":"https://openalex.org/C190290938","wikidata":"https://www.wikidata.org/wiki/Q387015","display_name":"Trie","level":3,"score":0.5204184651374817},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5131223797798157},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.49004828929901123},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4610013961791992},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4606386125087738},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.43104687333106995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31605398654937744},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2549043893814087},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.22327086329460144},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1309995949268341},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/tkde.2023.3241213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3241213","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"}],"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":68,"referenced_works":["https://openalex.org/W1985716338","https://openalex.org/W1990142825","https://openalex.org/W1998959019","https://openalex.org/W2022798908","https://openalex.org/W2029955663","https://openalex.org/W2139644595","https://openalex.org/W2297283352","https://openalex.org/W2394978971","https://openalex.org/W2537091826","https://openalex.org/W2550062805","https://openalex.org/W2567142519","https://openalex.org/W2737512123","https://openalex.org/W2758905143","https://openalex.org/W2762034449","https://openalex.org/W2768284362","https://openalex.org/W2788448133","https://openalex.org/W2799813871","https://openalex.org/W2801870222","https://openalex.org/W2803163798","https://openalex.org/W2804685987","https://openalex.org/W2888288031","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/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/W3097350645","https://openalex.org/W3102927519","https://openalex.org/W3119260152","https://openalex.org/W3132245688","https://openalex.org/W3161620509","https://openalex.org/W3161798535","https://openalex.org/W3166193317","https://openalex.org/W3169551350","https://openalex.org/W3177259441","https://openalex.org/W3183930927","https://openalex.org/W3185497437","https://openalex.org/W3191240255","https://openalex.org/W3199713267","https://openalex.org/W3203005438","https://openalex.org/W3210621838","https://openalex.org/W3210712593","https://openalex.org/W3212326024","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/W4226373478","https://openalex.org/W4229068720","https://openalex.org/W4280591200","https://openalex.org/W4285612676","https://openalex.org/W4289766427","https://openalex.org/W4312634424","https://openalex.org/W4313639335","https://openalex.org/W6811236885"],"related_works":["https://openalex.org/W54192826","https://openalex.org/W2074308207","https://openalex.org/W2395357979","https://openalex.org/W2795037468","https://openalex.org/W3092113474","https://openalex.org/W1754202134","https://openalex.org/W1820781522","https://openalex.org/W2800763970","https://openalex.org/W2117862195","https://openalex.org/W2379943282"],"abstract_inverted_index":{"The":[0],"aim":[1],"of":[2,25,31,58,61,73,90,109,137,169],"sequential":[3,51,77,110],"pattern":[4,197],"mining":[5,29,53,80],"(SPM)":[6],"is":[7],"to":[8,38,105,125],"discover":[9],"potentially":[10],"useful":[11],"information":[12],"from":[13,206],"a":[14,122,162],"given":[15],"sequence.":[16],"Although":[17],"various":[18],"SPM":[19],"methods":[20],"have":[21],"been":[22],"investigated,":[23],"most":[24],"these":[26],"focus":[27],"on":[28,176],"all":[30],"the":[32,42,59,71,83,88,107,127,130,135,142,154,167],"patterns.":[33],"However,":[34],"users":[35],"sometimes":[36],"want":[37],"mine":[39],"patterns":[40],"with":[41,101],"same":[43],"specific":[44],"prefix":[45,131],"pattern,":[46],"called":[47],"co-occurrence":[48,75,196],"pattern.":[49,132],"Since":[50],"rule":[52,78],"can":[54,203],"make":[55],"better":[56,65,191],"use":[57,108],"results":[60,181],"SPM,":[62],"and":[63,81,97,145,189,201],"obtain":[64],"recommendation":[66,192],"performance,":[67],"this":[68],"paper":[69],"addresses":[70],"issue":[72],"maximal":[74,155],"nonoverlapping":[76],"(MCoR)":[79],"proposes":[82],"MCoR-Miner":[84,93,120,140,160,184],"algorithm.":[85],"To":[86,112,133,150,165],"improve":[87],"efficiency":[89],"support":[91,115],"calculation,":[92],"employs":[94],"depth-first":[95],"search":[96],"backtracking":[98],"strategies":[99],"equipped":[100],"an":[102],"indexing":[103],"mechanism":[104],"avoid":[106,151],"searching.":[111],"obviate":[113],"useless":[114],"calculations":[116],"for":[117,153],"some":[118],"sequences,":[119],"adopts":[121],"filtering":[123],"strategy":[124],"prune":[126],"sequences":[128],"without":[129],"reduce":[134],"number":[136],"candidate":[138],"patterns,":[139],"applies":[141],"frequent":[143,195],"item":[144],"binomial":[146],"enumeration":[147],"tree":[148],"strategies.":[149],"searching":[152],"rules":[156],"through":[157],"brute":[158],"force,":[159],"uses":[161],"screening":[163],"strategy.":[164],"validate":[166],"performance":[168,193],"MCoR-Miner,":[170],"eleven":[171],"competitive":[172,187],"algorithms":[173,200],"were":[174],"conducted":[175],"eight":[177],"sequences.":[178],"Our":[179],"experimental":[180],"showed":[182],"that":[183],"outperformed":[185],"other":[186],"algorithms,":[188],"yielded":[190],"than":[194],"mining.":[198],"All":[199],"datasets":[202],"be":[204],"downloaded":[205],"<uri":[207],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[208],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/wuc567/Pattern-Mining/tree/master/MCoR-Miner</uri>":[209],".":[210]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}