{"id":"https://openalex.org/W2166113419","doi":"https://doi.org/10.1109/fuzz.2001.1007323","title":"A fuzzy AprioriTid mining algorithm with reduced computational time","display_name":"A fuzzy AprioriTid mining algorithm with reduced computational time","publication_year":2002,"publication_date":"2002-11-14","ids":{"openalex":"https://openalex.org/W2166113419","doi":"https://doi.org/10.1109/fuzz.2001.1007323","mag":"2166113419"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz.2001.1007323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2001.1007323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297)","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 Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan, R.O.C","institution_ids":["https://openalex.org/I192168892"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5057105630"],"corresponding_institution_ids":["https://openalex.org/I192168892"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.17845243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"360","last_page":"363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9950000047683716,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.709031343460083},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7009903788566589},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.6564928889274597},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.6559278964996338},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6212557554244995},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.5043753385543823},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4982321262359619},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4732761085033417},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4327702522277832},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4173698127269745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33745765686035156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.709031343460083},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7009903788566589},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.6564928889274597},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.6559278964996338},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6212557554244995},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.5043753385543823},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4982321262359619},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4732761085033417},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4327702522277832},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4173698127269745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33745765686035156},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz.2001.1007323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2001.1007323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1538285186","https://openalex.org/W1570697393","https://openalex.org/W1973865630","https://openalex.org/W1985020755","https://openalex.org/W2000473687","https://openalex.org/W2023502885","https://openalex.org/W2031324919","https://openalex.org/W2100176599","https://openalex.org/W2100406636","https://openalex.org/W2136508073","https://openalex.org/W2166559705","https://openalex.org/W2912565176","https://openalex.org/W3039539181","https://openalex.org/W4211007335","https://openalex.org/W6634266418","https://openalex.org/W6650563137","https://openalex.org/W6675462168","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":{"Most":[0],"conventional":[1],"data":[2],"mining":[3,32,55,84],"algorithms":[4],"identify":[5],"the":[6,26,36,44,59,75,79,88,96,101,109],"relation":[7],"among":[8],"transactions":[9,45],"with":[10,14,46,78],"binary":[11],"values.":[12,48],"Transactions":[13],"quantitative":[15,47,69],"values":[16],"are,":[17],"however,":[18],"commonly":[19],"seen":[20],"in":[21,82],"real":[22],"world":[23],"applications.":[24],"In":[25],"past,":[27],"we":[28],"proposed":[29],"a":[30],"fuzzy":[31,54,64,91],"algorithm":[33,56,105],"based":[34,57],"on":[35,58,108],"Apriori":[37],"approach":[38,61],"to":[39,62,93],"explore":[40],"interesting":[41],"knowledge":[42],"from":[43,67],"This":[49],"paper":[50],"proposes":[51],"another":[52],"new":[53],"AprioriTid":[60],"find":[63],"association":[65],"rules":[66],"given":[68],"transactions.":[70],"Each":[71],"item":[72],"uses":[73],"only":[74],"linguistic":[76,112],"term":[77],"maximum":[80],"cardinality":[81],"later":[83],"processes,":[85],"thus":[86],"making":[87],"number":[89],"of":[90,100],"regions":[92],"be":[94],"processed":[95],"same":[97],"as":[98],"that":[99],"original":[102],"items.":[103],"The":[104],"therefore":[106],"focuses":[107],"most":[110],"important":[111],"terms":[113],"for":[114],"reduced":[115],"time":[116],"complexity.":[117]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}