{"id":"https://openalex.org/W4293812158","doi":"https://doi.org/10.1109/tcyb.2022.3198661","title":"Scalable and Efficient Approach for High Temporal Fuzzy Utility Pattern Mining","display_name":"Scalable and Efficient Approach for High Temporal Fuzzy Utility Pattern Mining","publication_year":2022,"publication_date":"2022-08-31","ids":{"openalex":"https://openalex.org/W4293812158","doi":"https://doi.org/10.1109/tcyb.2022.3198661","pmid":"https://pubmed.ncbi.nlm.nih.gov/36044507"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2022.3198661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3198661","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5051196393","display_name":"Taewoong Ryu","orcid":"https://orcid.org/0000-0002-1927-2896"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taewoong Ryu","raw_affiliation_strings":["Department of Computer Engineering, Sejong University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058468656","display_name":"Heonho Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heonho Kim","raw_affiliation_strings":["Department of Computer Engineering, Sejong University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673639","display_name":"Chanhee Lee","orcid":"https://orcid.org/0000-0002-9300-5251"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chanhee Lee","raw_affiliation_strings":["Department of Computer Engineering, Sejong University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056957907","display_name":"Heonmo Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heonmo Kim","raw_affiliation_strings":["Department of Computer Engineering, Sejong University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062373963","display_name":"Bay Vo","orcid":"https://orcid.org/0000-0002-2723-1138"},"institutions":[{"id":"https://openalex.org/I4387155935","display_name":"HUTECH University","ror":"https://ror.org/05xpj2n48","country_code":null,"type":"education","lineage":["https://openalex.org/I4387155935"]},{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Bay Vo","raw_affiliation_strings":["Faculty of Information Technology, HUTECH University, Ho Chi Minh City, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-2723-1138","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, HUTECH University, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I4387155935","https://openalex.org/I47265099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000640263","display_name":"Jerry Chun\u2010Wei Lin","orcid":"https://orcid.org/0000-0001-8768-9709"},"institutions":[{"id":"https://openalex.org/I179863766","display_name":"Western Norway University of Applied Sciences","ror":"https://ror.org/05phns765","country_code":"NO","type":"education","lineage":["https://openalex.org/I179863766"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Jerry Chun-Wei Lin","raw_affiliation_strings":["Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway"],"raw_orcid":"https://orcid.org/0000-0001-8768-9709","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway","institution_ids":["https://openalex.org/I179863766"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003799782","display_name":"Witold Pedrycz","orcid":"https://orcid.org/0000-0002-9335-9930"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Witold Pedrycz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada"],"raw_orcid":"https://orcid.org/0000-0002-9335-9930","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079834335","display_name":"Unil Yun","orcid":"https://orcid.org/0000-0002-3720-0861"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Unil Yun","raw_affiliation_strings":["Department of Computer Engineering, Sejong University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-3720-0861","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.2303,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.96484372,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"53","issue":"12","first_page":"7672","last_page":"7685"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9957000017166138,"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":0.9829000234603882,"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/scalability","display_name":"Scalability","score":0.8269387483596802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8033811450004578},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7761043310165405},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6249632239341736},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5684502124786377},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5303324460983276},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.478960782289505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4358888566493988},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.42949363589286804},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40976595878601074},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14100706577301025},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13497120141983032}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.8269387483596802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8033811450004578},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7761043310165405},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6249632239341736},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5684502124786377},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5303324460983276},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.478960782289505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4358888566493988},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.42949363589286804},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40976595878601074},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14100706577301025},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13497120141983032},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2022.3198661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3198661","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:36044507","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36044507","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4946816280","display_name":null,"funder_award_id":"NRF 2021R1A2C1009388","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1987191780","https://openalex.org/W2000473687","https://openalex.org/W2046858420","https://openalex.org/W2049785083","https://openalex.org/W2051332471","https://openalex.org/W2065571631","https://openalex.org/W2071349372","https://openalex.org/W2094830079","https://openalex.org/W2099398039","https://openalex.org/W2125352627","https://openalex.org/W2151028259","https://openalex.org/W2161637667","https://openalex.org/W2165778966","https://openalex.org/W2277129084","https://openalex.org/W2313140552","https://openalex.org/W2514829721","https://openalex.org/W2521728485","https://openalex.org/W2556768542","https://openalex.org/W2596993382","https://openalex.org/W2607802139","https://openalex.org/W2740622613","https://openalex.org/W2758905143","https://openalex.org/W2760142002","https://openalex.org/W2760494456","https://openalex.org/W2770979795","https://openalex.org/W2796882849","https://openalex.org/W2798264189","https://openalex.org/W2803163798","https://openalex.org/W2804685987","https://openalex.org/W2894761743","https://openalex.org/W2899407706","https://openalex.org/W2907464021","https://openalex.org/W2908474881","https://openalex.org/W2909756225","https://openalex.org/W2915480346","https://openalex.org/W2941358638","https://openalex.org/W2945619585","https://openalex.org/W2967013972","https://openalex.org/W2973857687","https://openalex.org/W2976436416","https://openalex.org/W3007713653","https://openalex.org/W3012975517","https://openalex.org/W3015751214","https://openalex.org/W3045030108","https://openalex.org/W3048323270","https://openalex.org/W3081163379","https://openalex.org/W3082705605","https://openalex.org/W3102927519","https://openalex.org/W3111543298","https://openalex.org/W3111577069","https://openalex.org/W3118643612","https://openalex.org/W3119260152","https://openalex.org/W3121048413","https://openalex.org/W3131072673","https://openalex.org/W3135706878","https://openalex.org/W3214121932","https://openalex.org/W4205522465","https://openalex.org/W4211007335","https://openalex.org/W6767023225","https://openalex.org/W6791247219"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2018871932","https://openalex.org/W2389214306","https://openalex.org/W641279757","https://openalex.org/W370975646","https://openalex.org/W2373300491","https://openalex.org/W1670566515","https://openalex.org/W4242022592","https://openalex.org/W596972243","https://openalex.org/W2295196644"],"abstract_inverted_index":{"Fuzzy":[0],"utility":[1],"(FU)":[2],"pattern":[3,28],"mining":[4,29,120],"with":[5,34,114],"an":[6],"advantage":[7],"in":[8,18,26,64,81,163],"human":[9,44],"reasoning":[10],"has":[11,156],"become":[12],"one":[13],"of":[14,20,59,102,139,165],"the":[15,137,140,153,160],"interesting":[16],"topics":[17],"studies":[19],"knowledge":[21],"discovery.":[22],"The":[23],"discovered":[24],"information":[25],"FU":[27,123],"from":[30,42,88],"real-life":[31,82],"quantitative":[32],"databases":[33],"item":[35],"profits":[36],"is":[37,48],"suitable":[38],"for":[39,119],"interpreting":[40],"data":[41,117],"a":[43,100,109,115],"perspective":[45],"because":[46,91],"it":[47],"not":[49],"expressed":[50],"using":[51],"numerical":[52],"values":[53],"but":[54],"linguistic":[55],"terms":[56,164],"which":[57,77,98],"consist":[58],"natural":[60],"languages.":[61],"State-of-the-art":[62],"approaches":[63,97],"this":[65,105],"literature":[66],"provide":[67],"extended":[68],"results":[69],"by":[70],"considering":[71],"temporal":[72,122],"factors,":[73],"such":[74],"as":[75],"seasons,":[76],"can":[78],"be":[79],"influential":[80],"situations.":[83],"However,":[84],"they":[85,92],"still":[86],"suffer":[87],"scalability":[89],"issues":[90],"are":[93,133],"based":[94],"on":[95,145],"level-wise":[96],"generate":[99],"number":[101],"candidates.":[103,127],"In":[104],"article,":[106],"we":[107],"propose":[108],"scalable":[110],"and":[111,131,148,169],"efficient":[112],"approach":[113],"novel":[116],"structure":[118],"high":[121],"patterns":[124],"without":[125],"generating":[126],"Efficient":[128],"pruning":[129],"techniques":[130],"algorithms":[132,162],"presented":[134],"to":[135],"improve":[136],"performance":[138,158],"proposed":[141],"approach.":[142],"Performance":[143],"experiments":[144],"both":[146],"real":[147],"synthetic":[149],"datasets":[150],"show":[151],"that":[152],"suggested":[154],"algorithm":[155],"better":[157],"than":[159],"state-of-the-art":[161],"runtime,":[166],"memory":[167],"usage,":[168],"scalability.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}