{"id":"https://openalex.org/W4310479380","doi":"https://doi.org/10.1145/3561278.3561294","title":"Incremental High Fuzzy Utility Itemset Mining","display_name":"Incremental High Fuzzy Utility Itemset Mining","publication_year":2022,"publication_date":"2022-10-29","ids":{"openalex":"https://openalex.org/W4310479380","doi":"https://doi.org/10.1145/3561278.3561294"},"language":"en","primary_location":{"id":"doi:10.1145/3561278.3561294","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3561278.3561294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Multidisciplinary International Social Networks Conference","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/A5057105630","display_name":"Tzung\u2010Pei Hong","orcid":"https://orcid.org/0000-0001-7305-6492"},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Tzung-Pei Hong","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National University of Kaohsiung, Taiwan"],"raw_orcid":"https://orcid.org/0000-0001-7305-6492","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National University of Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000020501","display_name":"Wei-Teng Hung","orcid":"https://orcid.org/0000-0003-0447-0360"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Teng Hung","raw_affiliation_strings":["Department of Computer Science and Engineering, National Sun Yat-Sen University, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-0447-0360","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Sun Yat-Sen University, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052882672","display_name":"Wei-Ming Huang","orcid":"https://orcid.org/0000-0002-5774-9552"},"institutions":[{"id":"https://openalex.org/I930026050","display_name":"China Steel (Taiwan)","ror":"https://ror.org/02djppw35","country_code":"TW","type":"company","lineage":["https://openalex.org/I930026050"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Ming Huang","raw_affiliation_strings":["Department of Electrical and Control, China Steel Inc., Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-5774-9552","affiliations":[{"raw_affiliation_string":"Department of Electrical and Control, China Steel Inc., Taiwan","institution_ids":["https://openalex.org/I930026050"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005249092","display_name":"Yu\u2010Chuan Tsai","orcid":"https://orcid.org/0000-0002-1704-3408"},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Chuan Tsai","raw_affiliation_strings":["Library and Information Center, National University of Kaohsiung, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-1704-3408","affiliations":[{"raw_affiliation_string":"Library and Information Center, National University of Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057105630"],"corresponding_institution_ids":["https://openalex.org/I192168892"],"apc_list":null,"apc_paid":null,"fwci":1.2761,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84941108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"66","last_page":"69"},"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":0.9941999912261963,"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":0.9840999841690063,"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/data-mining","display_name":"Data mining","score":0.7932467460632324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7113837003707886},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5726296305656433},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5649891495704651},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.557369589805603},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5262352824211121},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.5086732506752014},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.3454012870788574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2673709988594055}],"concepts":[{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7932467460632324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7113837003707886},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5726296305656433},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5649891495704651},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.557369589805603},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5262352824211121},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.5086732506752014},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.3454012870788574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2673709988594055},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3561278.3561294","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3561278.3561294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Multidisciplinary International Social Networks Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W80315153","https://openalex.org/W1963619261","https://openalex.org/W1967721236","https://openalex.org/W1968259950","https://openalex.org/W2059464296","https://openalex.org/W2064853889","https://openalex.org/W2065571631","https://openalex.org/W2083751087","https://openalex.org/W2125352627","https://openalex.org/W2151201497","https://openalex.org/W2153631573","https://openalex.org/W2227925065","https://openalex.org/W2740438124","https://openalex.org/W2770979795","https://openalex.org/W2889494413","https://openalex.org/W2998574808","https://openalex.org/W3039539181","https://openalex.org/W3113469703","https://openalex.org/W3154256082","https://openalex.org/W6671198958","https://openalex.org/W6742353274","https://openalex.org/W6780396083"],"related_works":["https://openalex.org/W2390051172","https://openalex.org/W2297208791","https://openalex.org/W2367209111","https://openalex.org/W2351000793","https://openalex.org/W2366790077","https://openalex.org/W2348276166","https://openalex.org/W3034345083","https://openalex.org/W2607264580","https://openalex.org/W3012205960","https://openalex.org/W1483188779"],"abstract_inverted_index":{"In":[0,30],"data":[1],"mining,":[2],"frequent-pattern":[3],"mining":[4,13,48,123],"methods":[5],"are":[6,53],"used":[7],"for":[8,102],"handling":[9],"binary":[10],"databases.":[11],"Utility":[12],"addresses":[14],"this":[15],"limitation":[16],"by":[17],"considering":[18],"the":[19,26,42,46,65,76,95,99,115,120],"item":[20],"utilities":[21],"and":[22,64],"quantities":[23],"when":[24],"discovering":[25],"high":[27,35,85,105],"utility":[28,36,47,87,107],"itemsets.":[29],"addition,":[31],"to":[32,45,70,83,112],"make":[33],"these":[34],"patterns":[37],"more":[38],"human-explainable,":[39],"we":[40],"use":[41],"fuzzy-set":[43],"theory":[44],"algorithms.":[49],"However,":[50],"real-world":[51],"databases":[52],"usually":[54],"dynamic.":[55],"That":[56],"is,":[57],"new":[58,90],"transactions":[59],"may":[60],"be":[61,71],"intermittently":[62],"added,":[63],"corresponding":[66],"mined":[67],"knowledge":[68],"needs":[69],"updated.":[72],"This":[73],"paper":[74],"uses":[75],"famous":[77],"incremental":[78,116],"strategy,":[79],"fast":[80],"update":[81],"(FUP),":[82],"modify":[84],"fuzzy":[86,106],"itemsets":[88],"from":[89],"coming":[91],"data.":[92],"We":[93],"implement":[94],"FUP":[96],"strategy":[97],"on":[98],"Apriori-based":[100,121],"approach":[101],"maintaining":[103],"up-to-date":[104],"itemsets.We":[108],"also":[109],"conducted":[110],"experiments":[111],"demonstrate":[113],"that":[114],"algorithm":[117],"significantly":[118],"outperforms":[119],"batch":[122],"method.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"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"}
