{"id":"https://openalex.org/W2994726635","doi":"https://doi.org/10.1109/access.2019.2958150","title":"Improved Genetic Algorithm for High-Utility Itemset Mining","display_name":"Improved Genetic Algorithm for High-Utility Itemset Mining","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2994726635","doi":"https://doi.org/10.1109/access.2019.2958150","mag":"2994726635"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2958150","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2958150","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08926353.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08926353.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Qiang Zhang","orcid":"https://orcid.org/0000-0002-9824-4294"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Zhang","raw_affiliation_strings":["School of IoT Engineering, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0002-9824-4294","affiliations":[{"raw_affiliation_string":"School of IoT Engineering, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Fang","orcid":"https://orcid.org/0000-0003-0258-7629"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Fang","raw_affiliation_strings":["Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China","School of IoT Engineering, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0003-0258-7629","affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of IoT Engineering, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327203","display_name":"Jun Sun","orcid":"https://orcid.org/0000-0002-9824-4294"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Sun","raw_affiliation_strings":["Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China","School of IoT Engineering, Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of IoT Engineering, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108047863","display_name":"Quan Wang","orcid":"https://orcid.org/0000-0001-5483-0243"},"institutions":[{"id":"https://openalex.org/I4210149408","display_name":"Wuxi Industrial Equipment Installation (China)","ror":"https://ror.org/0475cs869","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210149408"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Wang","raw_affiliation_strings":["Wuxi SensingNet Industrialization Research Institute, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuxi SensingNet Industrialization Research Institute, Wuxi, China","institution_ids":["https://openalex.org/I4210149408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":6.3458,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.9671596,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"176799","last_page":"176813"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9240000247955322,"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":0.9233999848365784,"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":0.69069904088974},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.595171332359314},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5420994758605957},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5262438654899597},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5063070058822632},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.47001388669013977},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.43184414505958557},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4251219928264618},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38881248235702515},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20086121559143066},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19398149847984314}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.69069904088974},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.595171332359314},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5420994758605957},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5262438654899597},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5063070058822632},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47001388669013977},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.43184414505958557},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4251219928264618},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38881248235702515},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20086121559143066},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19398149847984314},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2958150","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2958150","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08926353.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7ca73eeaafbf489e9ff601ad22d58c92","is_oa":true,"landing_page_url":"https://doaj.org/article/7ca73eeaafbf489e9ff601ad22d58c92","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,"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":"IEEE Access, Vol 7, Pp 176799-176813 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2958150","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2958150","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08926353.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4327305291","display_name":null,"funder_award_id":"61673194","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4555050861","display_name":null,"funder_award_id":"61672263","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5073082561","display_name":null,"funder_award_id":"2014M560390","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5876314344","display_name":null,"funder_award_id":"2017YFC1601800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6968623715","display_name":null,"funder_award_id":"2017YFC1601800","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7181329294","display_name":null,"funder_award_id":"2017YFC1601000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2994726635.pdf","grobid_xml":"https://content.openalex.org/works/W2994726635.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W58918046","https://openalex.org/W80315153","https://openalex.org/W1484413656","https://openalex.org/W1512383952","https://openalex.org/W1541288193","https://openalex.org/W1968259950","https://openalex.org/W2042336188","https://openalex.org/W2049785083","https://openalex.org/W2071349372","https://openalex.org/W2076404872","https://openalex.org/W2078619461","https://openalex.org/W2079935819","https://openalex.org/W2084866398","https://openalex.org/W2087876307","https://openalex.org/W2099404336","https://openalex.org/W2110893883","https://openalex.org/W2115482638","https://openalex.org/W2125213524","https://openalex.org/W2125352627","https://openalex.org/W2126105956","https://openalex.org/W2129490689","https://openalex.org/W2140190241","https://openalex.org/W2143428105","https://openalex.org/W2151028259","https://openalex.org/W2151201497","https://openalex.org/W2157169143","https://openalex.org/W2161637667","https://openalex.org/W2166559705","https://openalex.org/W2183819092","https://openalex.org/W2296164026","https://openalex.org/W2343420905","https://openalex.org/W2497712405","https://openalex.org/W2500972218","https://openalex.org/W2507635762","https://openalex.org/W2509363971","https://openalex.org/W2522192076","https://openalex.org/W2580448867","https://openalex.org/W2783483776","https://openalex.org/W2794370109","https://openalex.org/W2808592064","https://openalex.org/W2887380063","https://openalex.org/W2900897168","https://openalex.org/W2904015298","https://openalex.org/W2911787785","https://openalex.org/W2921998402","https://openalex.org/W2930433535","https://openalex.org/W2931526455","https://openalex.org/W2946006864","https://openalex.org/W2966172052","https://openalex.org/W2981458859","https://openalex.org/W3145004415","https://openalex.org/W3203827911","https://openalex.org/W4253572765","https://openalex.org/W6628750762","https://openalex.org/W6760832922","https://openalex.org/W6770122551"],"related_works":["https://openalex.org/W4231775656","https://openalex.org/W2046435967","https://openalex.org/W2383646825","https://openalex.org/W2371018915","https://openalex.org/W2354191502","https://openalex.org/W1972225038","https://openalex.org/W3134658850","https://openalex.org/W2355938171","https://openalex.org/W2780079842","https://openalex.org/W814988660"],"abstract_inverted_index":{"High-utility":[0],"itemset":[1],"mining":[2,12,193],"(HUIM)":[3],"is":[4,36,71,108,125,135,150,189],"an":[5,40,92,97,147],"important":[6],"research":[7],"topic":[8],"in":[9,66,83,127,176],"the":[10,20,28,128,154,169,179,185,194],"data":[11],"field.":[13],"Typically,":[14],"traditional":[15],"HUIM":[16,54,93,202],"algorithms":[17,48,76],"must":[18],"handle":[19],"exponential":[21],"problem":[22],"of":[23,33,62,156,164,178,187,197],"huge":[24],"search":[25,112],"space":[26],"when":[27,192],"database":[29],"size":[30],"or":[31],"number":[32,196],"distinct":[34],"items":[35],"very":[37],"large.":[38],"As":[39],"alternative":[41],"and":[42,184],"effective":[43],"approach,":[44],"evolutionary":[45],"computation":[46],"(EC)-based":[47],"have":[49],"been":[50],"proposed":[51,109,129,170],"to":[52,77,110,138,152],"solve":[53],"problems":[55],"because":[56],"they":[57],"can":[58,172],"obtain":[59],"a":[60,104,120,162],"set":[61,163],"nearly":[63],"optimal":[64],"solutions":[65],"limited":[67],"time.":[68],"However,":[69],"it":[70],"still":[72],"time-consuming":[73,186],"for":[74,114,142],"EC-based":[75,201],"find":[78,173],"complete":[79,174],"high-utility":[80],"itemsets":[81],"(HUIs)":[82],"transactional":[84],"databases.":[85],"To":[86,116],"address":[87],"this":[88],"problem,":[89],"we":[90],"propose":[91],"algorithm":[94,100,171],"based":[95],"on":[96,161],"improved":[98],"genetic":[99],"(HUIM-IGA).":[101],"In":[102,145],"addition,":[103,146],"neighborhood":[105],"exploration":[106],"strategy":[107,124,149],"improve":[111],"efficiency":[113],"HUIs.":[115,144,157],"reduce":[117,139],"missing":[118],"HUIs,":[119],"population":[121],"diversity":[122],"maintenance":[123],"employed":[126,151],"HUIM-IGA.":[130],"An":[131],"individual":[132],"repair":[133],"method":[134],"also":[136],"introduced":[137],"invalid":[140],"combinations":[141],"discovering":[143],"elite":[148],"prevent":[153],"loss":[155],"Experimental":[158],"results":[159],"obtained":[160],"real-world":[165],"datasets":[166],"demonstrate":[167],"that":[168],"HUIs":[175,198],"terms":[177],"given":[180],"minimum":[181],"utility":[182],"threshold,":[183],"HUIM-IGA":[188],"relatively":[190],"lower":[191],"same":[195],"than":[199],"state-of-the-art":[200],"algorithms.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}