{"id":"https://openalex.org/W4205757082","doi":"https://doi.org/10.1109/bigdata52589.2021.9671342","title":"Joint Utility and Frequency for Pattern Classification","display_name":"Joint Utility and Frequency for Pattern Classification","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4205757082","doi":"https://doi.org/10.1109/bigdata52589.2021.9671342"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata52589.2021.9671342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671342","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-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/A5100659446","display_name":"Lin Qi","orcid":"https://orcid.org/0009-0009-6210-2065"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Lin","raw_affiliation_strings":["Jinan University of Birmingham Joint Institute, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Jinan University of Birmingham Joint Institute, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000962921","display_name":"Wensheng Gan","orcid":"https://orcid.org/0000-0002-5781-8116"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wensheng Gan","raw_affiliation_strings":["Jinan University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042050762","display_name":"Yongdong Wu","orcid":"https://orcid.org/0000-0002-0850-724X"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongdong Wu","raw_affiliation_strings":["Jinan University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390326","display_name":"Jiahui Chen","orcid":"https://orcid.org/0000-0001-7128-9778"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Chen","raw_affiliation_strings":["Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068618830","display_name":"Chien\u2010Ming Chen","orcid":"https://orcid.org/0000-0002-6502-472X"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chien-Ming Chen","raw_affiliation_strings":["Shandong University of Science and Technology, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100659446"],"corresponding_institution_ids":["https://openalex.org/I159948400"],"apc_list":null,"apc_paid":null,"fwci":0.5672,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64604941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"5524","last_page":"5533"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9855999946594238,"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":0.9793999791145325,"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":0.6299906969070435},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.4956256151199341},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48785972595214844},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4729672968387604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39220064878463745},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2078937292098999}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6299906969070435},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.4956256151199341},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48785972595214844},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4729672968387604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39220064878463745},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2078937292098999}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata52589.2021.9671342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671342","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"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":48,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1498871448","https://openalex.org/W1591033376","https://openalex.org/W2031324919","https://openalex.org/W2033727591","https://openalex.org/W2070896531","https://openalex.org/W2081420846","https://openalex.org/W2099404336","https://openalex.org/W2115274736","https://openalex.org/W2115482638","https://openalex.org/W2125352627","https://openalex.org/W2138061404","https://openalex.org/W2143428105","https://openalex.org/W2151028259","https://openalex.org/W2151201497","https://openalex.org/W2161637667","https://openalex.org/W2170860445","https://openalex.org/W2182491292","https://openalex.org/W2183819092","https://openalex.org/W2229420030","https://openalex.org/W2288772698","https://openalex.org/W2508886577","https://openalex.org/W2522335225","https://openalex.org/W2587325413","https://openalex.org/W2597997664","https://openalex.org/W2736317519","https://openalex.org/W2774847083","https://openalex.org/W2783483776","https://openalex.org/W2804685987","https://openalex.org/W2900897168","https://openalex.org/W2907464021","https://openalex.org/W2908474881","https://openalex.org/W2937863287","https://openalex.org/W2961234535","https://openalex.org/W2963025680","https://openalex.org/W2973857687","https://openalex.org/W2997234453","https://openalex.org/W3007713653","https://openalex.org/W3008729672","https://openalex.org/W3012975517","https://openalex.org/W3038983263","https://openalex.org/W3050413979","https://openalex.org/W3156031410","https://openalex.org/W3204616723","https://openalex.org/W6628750762","https://openalex.org/W6629658345","https://openalex.org/W6678646327","https://openalex.org/W6802797615"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2368431569"],"abstract_inverted_index":{"High-frequency":[0],"itemset":[1,6,96],"mining":[2,7],"(HFIM)":[3],"and":[4,16,69,74,83,109,140,142],"high-utility":[5,35],"(HUIM)":[8],"aim":[9],"to":[10,32,93],"discover":[11],"itemsets":[12,36,40,132,136],"with":[13],"high":[14,17],"occurrence":[15],"utility,":[18,141],"respectively,":[19],"in":[20,49,55,158],"a":[21,63],"transaction":[22],"database.":[23],"A":[24],"number":[25],"of":[26,100,107,131,160],"efficient":[27],"algorithms":[28,43,90,114,124],"have":[29],"been":[30],"developed":[31],"identify":[33],"these":[34,113],"(HUIs)":[37],"or":[38],"high-frequency":[39],"(HFIs).":[41],"Such":[42],"play":[44],"an":[45],"increasingly":[46],"important":[47],"role":[48],"many":[50],"occasions":[51],"especially":[52],"for":[53,71],"analysis":[54],"commercial":[56],"enterprises.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61],"propose":[62],"new":[64,76],"model":[65],"called":[66],"joint":[67],"utility":[68,108],"frequency":[70,139],"pattern":[72],"classification,":[73],"two":[75,116],"algorithms,":[77],"namely":[78],"UFC":[79,84,145,153],"<inf":[80,85,146,154],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[81,86,147,155],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">gen</inf>":[82,156],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">fast</inf>":[87,148],".":[88],"Both":[89],"are":[91],"designed":[92],"categorize":[94],"each":[95],"into":[97],"different":[98,129],"type":[99],"patterns":[101],"by":[102],"setting":[103],"the":[104,143,151],"minimum":[105],"thresholds":[106],"frequency.":[110],"We":[111],"compare":[112],"on":[115,138],"datasets.":[117],"The":[118],"experimental":[119],"results":[120],"show":[121],"that":[122],"both":[123],"can":[125],"successfully":[126],"collect":[127],"three":[128],"types":[130],"from":[133],"all":[134],"candidate":[135],"based":[137],"list-based":[144],"algorithm":[149,157],"outperforms":[150],"level-wise-based":[152],"terms":[159],"execution":[161],"time.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
