{"id":"https://openalex.org/W3202832097","doi":"https://doi.org/10.3390/app11198971","title":"Multi-Objective Optimization for High-Dimensional Maximal Frequent Itemset Mining","display_name":"Multi-Objective Optimization for High-Dimensional Maximal Frequent Itemset Mining","publication_year":2021,"publication_date":"2021-09-26","ids":{"openalex":"https://openalex.org/W3202832097","doi":"https://doi.org/10.3390/app11198971","mag":"3202832097"},"language":"en","primary_location":{"id":"doi:10.3390/app11198971","doi":"https://doi.org/10.3390/app11198971","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app11198971","pdf_url":"https://www.mdpi.com/2076-3417/11/19/8971/pdf?version=1632726633","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2076-3417/11/19/8971/pdf?version=1632726633","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052290693","display_name":"Yalong Zhang","orcid":"https://orcid.org/0000-0002-9995-7659","observed_orcids":["https://orcid.org/0000-0002-9995-7659","https://orcid.org/0009-0001-6430-1051"]},"institutions":[{"id":"https://openalex.org/I4210123686","display_name":"Quzhou University","ror":"https://ror.org/024nfx323","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123686"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yalong Zhang","raw_affiliation_strings":["College of Electrical and Information Engineering, Quzhou University, Quzhou 324000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Quzhou University, Quzhou 324000, China","institution_ids":["https://openalex.org/I4210123686"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101539575","display_name":"Wei An Yu","orcid":"https://orcid.org/0000-0001-8935-4689","observed_orcids":["https://orcid.org/0000-0001-8935-4689"]},"institutions":[{"id":"https://openalex.org/I4210123686","display_name":"Quzhou University","ror":"https://ror.org/024nfx323","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123686"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yu","raw_affiliation_strings":["College of Electrical and Information Engineering, Quzhou University, Quzhou 324000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Quzhou University, Quzhou 324000, China","institution_ids":["https://openalex.org/I4210123686"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115592619","display_name":"Xuan Ma","orcid":"https://orcid.org/0009-0007-0283-1421","observed_orcids":["https://orcid.org/0009-0007-0283-1421"]},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Ma","raw_affiliation_strings":["Faculty of Automation and Information Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Automation and Information Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049564802","display_name":"Hisakazu Ogura","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hisakazu Ogura","raw_affiliation_strings":["Graduate School of Engineering, University of Fukui, Fukui 910-8507, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Fukui, Fukui 910-8507, Japan","institution_ids":["https://openalex.org/I111966504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019832178","display_name":"Dongfen Ye","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210123686","display_name":"Quzhou University","ror":"https://ror.org/024nfx323","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123686"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongfen Ye","raw_affiliation_strings":["College of Electrical and Information Engineering, Quzhou University, Quzhou 324000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Quzhou University, Quzhou 324000, China","institution_ids":["https://openalex.org/I4210123686"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052290693"],"corresponding_institution_ids":["https://openalex.org/I4210123686"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2160},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2160},"fwci":1.5817,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86549806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"11","issue":"19","first_page":"8971","last_page":"8971"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9990000128746033,"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":0.9990000128746033,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":9.999999747378752e-05,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/maximal-frequent-itemset-mining","display_name":"maximal frequent itemset mining","score":0.9890000224113464},{"id":"https://openalex.org/keywords/high-dimensional-data","display_name":"high-dimensional data","score":0.9380000233650208},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"multi-objective optimization","score":0.9580000042915344},{"id":"https://openalex.org/keywords/association-rule-mining","display_name":"association rule mining","score":0.8059999942779541},{"id":"https://openalex.org/keywords/pareto-optimal-solutions","display_name":"Pareto optimal solutions","score":0.8820000290870667},{"id":"https://openalex.org/keywords/evolutionary-algorithms","display_name":"evolutionary algorithms","score":0.47999998927116394},{"id":"https://openalex.org/keywords/big-data","display_name":"big data","score":0.6510000228881836}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6417008638381958},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6409209966659546},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.6222826838493347},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.6069647073745728},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.5736055970191956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48341596126556396},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.4284585118293762},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4135437607765198},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3720436692237854},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.18043556809425354},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12684735655784607},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08212041854858398},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/app11198971","doi":"https://doi.org/10.3390/app11198971","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app11198971","pdf_url":"https://www.mdpi.com/2076-3417/11/19/8971/pdf?version=1632726633","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a8afeea9f8434373a8be0383a3332d45","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/a8afeea9f8434373a8be0383a3332d45","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Sciences, Vol 11, Iss 19, p 8971 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/app11198971","doi":"https://doi.org/10.3390/app11198971","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app11198971","pdf_url":"https://www.mdpi.com/2076-3417/11/19/8971/pdf?version=1632726633","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324595","display_name":"Universiteit Antwerpen","ror":"https://ror.org/008x57b05"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3202832097.pdf","grobid_xml":"https://content.openalex.org/works/W3202832097.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2115482638","https://openalex.org/W2123504579","https://openalex.org/W2136078606","https://openalex.org/W2146713522","https://openalex.org/W2245315005","https://openalex.org/W2288902363","https://openalex.org/W2353765095","https://openalex.org/W2475028978","https://openalex.org/W2497151817","https://openalex.org/W2611565041","https://openalex.org/W2733617736","https://openalex.org/W2778865924","https://openalex.org/W2906954827","https://openalex.org/W2940202102","https://openalex.org/W2963975965","https://openalex.org/W2980490748","https://openalex.org/W2994384010","https://openalex.org/W2995343792","https://openalex.org/W2997167919","https://openalex.org/W2998944545","https://openalex.org/W3005442585","https://openalex.org/W3011086883","https://openalex.org/W3023354860","https://openalex.org/W3028209150","https://openalex.org/W3028414556","https://openalex.org/W3044494610","https://openalex.org/W4236179052","https://openalex.org/W4249281035"],"related_works":["https://openalex.org/W2316176868","https://openalex.org/W7009447163","https://openalex.org/W2141882779","https://openalex.org/W2371283967","https://openalex.org/W2475028978","https://openalex.org/W2373725636","https://openalex.org/W7096835449","https://openalex.org/W2383972685","https://openalex.org/W2056646133","https://openalex.org/W4412353079"],"abstract_inverted_index":{"The":[0],"solution":[1,67,170],"space":[2,68,76],"of":[3,13,17,23,70,74,91,115,135,141,147,166,171,180,197],"a":[4],"frequent":[5,34,89,96,125,136,142,173,184],"itemset":[6,35,90,126,174],"generally":[7],"presents":[8],"exponential":[9],"explosive":[10,66],"growth":[11],"because":[12,69,132],"the":[14,21,24,33,46,88,113,123,145,164,167,172,193,198],"high-dimensional":[15,37,92],"attributes":[16],"big":[18,25,61,202],"data.":[19,93],"However,":[20],"premise":[22],"data":[26,62,203],"association":[27],"rule":[28],"analysis":[29,63],"is":[30],"to":[31,86,120,127],"mine":[32,87],"in":[36,59,64,111,152,201],"transaction":[38,102],"sets.":[39],"Traditional":[40],"and":[41,48,77,156,186,195],"classical":[42],"algorithms":[43],"such":[44],"as":[45,51,53,112],"Apriori":[47],"FP-Growth":[49],"algorithms,":[50,56,148],"well":[52],"their":[54,71],"derivative":[55],"are":[57,138,189],"unacceptable":[58],"practical":[60],"an":[65],"huge":[72],"consumption":[73],"storage":[75],"running":[78],"time.":[79],"A":[80],"multi-objective":[81],"optimization":[82],"algorithm":[83,200],"was":[84,175],"proposed":[85,199],"First,":[94],"all":[95,139,187],"2-itemsets":[97],"were":[98,109,154,183,204],"generated":[99],"by":[100,206],"scanning":[101],"sets":[103],"based":[104],"on":[105],"which":[106],"new":[107],"items":[108],"added":[110],"objects":[114],"population":[116],"evolution.":[117],"Algorithms":[118],"aim":[119],"search":[121],"for":[122],"maximal":[124],"gather":[128],"more":[129],"non-void":[130,133,178],"subsets":[131,134,179],"itemsets":[137],"properties":[140],"itemsets.":[143,191],"During":[144],"operation":[146],"lethal":[149],"gene":[150],"fragments":[151],"individuals":[153,160],"recorded":[155],"eliminated":[157],"so":[158],"that":[159],"may":[161],"resurge.":[162],"Finally,":[163,192],"set":[165],"Pareto":[168],"optimal":[169],"gained.":[176],"All":[177],"these":[181],"solutions":[182],"itemsets,":[185],"supersets":[188],"non-frequent":[190],"practicability":[194],"validity":[196],"proven":[205],"experiments.":[207]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2021-10-11T00:00:00"}