{"id":"https://openalex.org/W2031324919","doi":"https://doi.org/10.1016/s1088-467x(99)00028-1","title":"Mining association rules from quantitative data","display_name":"Mining association rules from quantitative data","publication_year":1999,"publication_date":"1999-11-01","ids":{"openalex":"https://openalex.org/W2031324919","doi":"https://doi.org/10.1016/s1088-467x(99)00028-1","mag":"2031324919"},"language":"en","primary_location":{"id":"doi:10.1016/s1088-467x(99)00028-1","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s1088-467x(99)00028-1","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-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/I98298690","display_name":"I-Shou University","ror":"https://ror.org/04d7e4m76","country_code":"TW","type":"education","lineage":["https://openalex.org/I98298690"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"T Hong","raw_affiliation_strings":["Department of Information Management, Graduate School of Management Science, I-Shou University, Kaohsiung, Taiwan 84008, ROC"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, Graduate School of Management Science, I-Shou University, Kaohsiung, Taiwan 84008, ROC","institution_ids":["https://openalex.org/I98298690"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5057105630"],"corresponding_institution_ids":["https://openalex.org/I98298690"],"apc_list":null,"apc_paid":null,"fwci":8.2343,"has_fulltext":false,"cited_by_count":260,"citation_normalized_percentile":{"value":0.97154414,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"3","issue":"5","first_page":"363","last_page":"376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9858999848365784,"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":0.9465000033378601,"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/association-rule-learning","display_name":"Association rule learning","score":0.8391120433807373},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.814682126045227},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.7684471607208252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7567188739776611},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.7077435255050659},{"id":"https://openalex.org/keywords/transaction-data","display_name":"Transaction data","score":0.5415182113647461},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5072457194328308},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5062434077262878},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4881211221218109},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.45636317133903503},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4536036252975464},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.42974743247032166},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4126230776309967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2477818727493286},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2401372790336609}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8391120433807373},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.814682126045227},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.7684471607208252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7567188739776611},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.7077435255050659},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.5415182113647461},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5072457194328308},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5062434077262878},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4881211221218109},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.45636317133903503},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4536036252975464},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.42974743247032166},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4126230776309967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2477818727493286},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2401372790336609},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/s1088-467x(99)00028-1","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s1088-467x(99)00028-1","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W119304297","https://openalex.org/W185569888","https://openalex.org/W1504694836","https://openalex.org/W1506285740","https://openalex.org/W1538285186","https://openalex.org/W1557723087","https://openalex.org/W1570697393","https://openalex.org/W1647965853","https://openalex.org/W1728588243","https://openalex.org/W1966036744","https://openalex.org/W1970104171","https://openalex.org/W1973865630","https://openalex.org/W1981344294","https://openalex.org/W1985020755","https://openalex.org/W2000473687","https://openalex.org/W2011829091","https://openalex.org/W2011972735","https://openalex.org/W2013017122","https://openalex.org/W2015487637","https://openalex.org/W2023502885","https://openalex.org/W2036959577","https://openalex.org/W2042250206","https://openalex.org/W2068515539","https://openalex.org/W2077450947","https://openalex.org/W2078631263","https://openalex.org/W2083484964","https://openalex.org/W2100176599","https://openalex.org/W2100406636","https://openalex.org/W2125055259","https://openalex.org/W2136000097","https://openalex.org/W2136508073","https://openalex.org/W2144077504","https://openalex.org/W2144501809","https://openalex.org/W2166559705","https://openalex.org/W2506154138","https://openalex.org/W2912565176","https://openalex.org/W3039539181"],"related_works":["https://openalex.org/W3036124657","https://openalex.org/W2405429603","https://openalex.org/W3089830354","https://openalex.org/W2989589039","https://openalex.org/W3005442585","https://openalex.org/W1616165289","https://openalex.org/W4200222668","https://openalex.org/W2700330155","https://openalex.org/W3135630555","https://openalex.org/W3014936414"],"abstract_inverted_index":{"Data-mining":[0],"is":[1],"the":[2,22,66,93,96],"process":[3],"of":[4,95],"extracting":[5,49],"desirable":[6],"knowledge":[7,51],"or":[8],"interesting":[9,50,72],"patterns":[10],"from":[11,52],"existing":[12],"databases":[13],"for":[14,48],"specific":[15],"purposes.":[16],"Most":[17],"conventional":[18],"data-mining":[19,46],"algorithms":[20],"identify":[21],"relationships":[23],"among":[24],"transactions":[25,30,53],"using":[26],"binary":[27],"values,":[28],"however,":[29],"with":[31,82],"quantitative":[32,56],"values":[33],"are":[34],"commonly":[35],"seen":[36],"in":[37,76],"real-world":[38],"applications.":[39],"This":[40],"paper":[41],"thus":[42],"proposes":[43],"a":[44],"new":[45],"algorithm":[47,60,69],"stored":[54],"as":[55],"values.":[57],"The":[58],"proposed":[59,97],"integrates":[61],"fuzzy":[62,73],"set":[63],"concepts":[64],"and":[65],"apriori":[67],"mining":[68],"to":[70,91],"find":[71],"association":[74],"rules":[75],"given":[77],"transaction":[78],"data":[79],"sets.":[80],"Experiments":[81],"student":[83],"grades":[84],"at":[85],"I-Shou":[86],"University":[87],"were":[88],"also":[89],"made":[90],"verify":[92],"performance":[94],"algorithm.":[98]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":14}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}