{"id":"https://openalex.org/W4242427412","doi":"https://doi.org/10.1080/18756891.2008.9727623","title":"Building an Associative Classifier Based on Fuzzy Association Rules","display_name":"Building an Associative Classifier Based on Fuzzy Association Rules","publication_year":2008,"publication_date":"2008-08-01","ids":{"openalex":"https://openalex.org/W4242427412","doi":"https://doi.org/10.1080/18756891.2008.9727623"},"language":"en","primary_location":{"id":"doi:10.1080/18756891.2008.9727623","is_oa":true,"landing_page_url":"https://doi.org/10.1080/18756891.2008.9727623","pdf_url":null,"source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/18756891.2008.9727623","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062722211","display_name":"Zuoliang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zuoliang Chen","raw_affiliation_strings":["School of Economics and Management , Tsinghua University , Beijing , 100084 , China E-mail: {chenzl, chengq}@sem.tsinghua.edu.cn \u00a0","School of Economics and Management , Tsinghua University , Beijing , 100084 , China E-mail: {chenzl, chengq}@sem.tsinghua.edu.cn"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management , Tsinghua University , Beijing , 100084 , China E-mail: {chenzl, chengq}@sem.tsinghua.edu.cn \u00a0","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Economics and Management , Tsinghua University , Beijing , 100084 , China E-mail: {chenzl, chengq}@sem.tsinghua.edu.cn","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100342994","display_name":"Guoqing Chen","orcid":"https://orcid.org/0000-0001-7386-1133"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqing Chen","raw_affiliation_strings":["School of Economics and Management , Tsinghua University , Beijing , 100084 , China E-mail: {chenzl, chengq}@sem.tsinghua.edu.cn \u00a0","School of Economics and Management , Tsinghua University , Beijing , 100084 , China E-mail: {chenzl, chengq}@sem.tsinghua.edu.cn"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management , Tsinghua University , Beijing , 100084 , China E-mail: {chenzl, chengq}@sem.tsinghua.edu.cn \u00a0","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Economics and Management , Tsinghua University , Beijing , 100084 , China E-mail: {chenzl, chengq}@sem.tsinghua.edu.cn","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062722211"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":{"value":1390,"currency":"GBP","value_usd":1704},"apc_paid":{"value":1390,"currency":"GBP","value_usd":1704},"fwci":7.15448409,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.97118222,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":"3","first_page":"262","last_page":"273"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991999864578247,"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":0.9991999864578247,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.996399998664856,"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":0.9932000041007996,"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/association-rule-learning","display_name":"Association rule learning","score":0.8246802091598511},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.7392057180404663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6828955411911011},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6126815676689148},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5807684063911438},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5673781633377075},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5673395395278931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5353325605392456},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5095689296722412},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.44038981199264526},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4170927107334137},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.377991259098053},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18524736166000366}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8246802091598511},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.7392057180404663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6828955411911011},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6126815676689148},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5807684063911438},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5673781633377075},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5673395395278931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5353325605392456},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5095689296722412},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.44038981199264526},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4170927107334137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.377991259098053},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18524736166000366},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/18756891.2008.9727623","is_oa":true,"landing_page_url":"https://doi.org/10.1080/18756891.2008.9727623","pdf_url":null,"source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/18756891.2008.9727623","is_oa":true,"landing_page_url":"https://doi.org/10.1080/18756891.2008.9727623","pdf_url":null,"source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"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":24,"referenced_works":["https://openalex.org/W1586759373","https://openalex.org/W1623342295","https://openalex.org/W1817561967","https://openalex.org/W1863338380","https://openalex.org/W1973326088","https://openalex.org/W1986967485","https://openalex.org/W1998801147","https://openalex.org/W2022005319","https://openalex.org/W2026248097","https://openalex.org/W2050753348","https://openalex.org/W2091438503","https://openalex.org/W2099133480","https://openalex.org/W2121317427","https://openalex.org/W2123866586","https://openalex.org/W2125055259","https://openalex.org/W2136003390","https://openalex.org/W2139038057","https://openalex.org/W2154642793","https://openalex.org/W2166559705","https://openalex.org/W2982720039","https://openalex.org/W4211007335","https://openalex.org/W4253336088","https://openalex.org/W6639598708","https://openalex.org/W6685041505"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2011676020","https://openalex.org/W1533029210"],"abstract_inverted_index":{"Classification":[0,41],"based":[1],"on":[2,90],"association":[3,24],"rules":[4,25,106],"is":[5,17,50,86],"considered":[6],"to":[7],"be":[8],"effective":[9],"and":[10,63,79,88,107],"advantageous":[11],"in":[12,23,52,74,102],"many":[13],"cases.":[14],"However,":[15],"there":[16],"a":[18],"so-called":[19],"\"sharp":[20],"boundary\"":[21],"problem":[22],"mining":[26,84],"with":[27,42,68,76],"quantitative":[28],"attribute":[29],"domains.":[30,55],"This":[31],"paper":[32],"aims":[33],"at":[34],"proposing":[35],"an":[36],"associative":[37],"classification":[38],"approach,":[39],"namely":[40],"Fuzzy":[43],"Association":[44],"Rules":[45],"(CFAR),":[46],"where":[47],"fuzzy":[48],"logic":[49],"used":[51],"partitioning":[53],"the":[54,59,69,82,111],"In":[56],"doing":[57],"so,":[58],"notions":[60],"of":[61,71,104],"support":[62],"confidence":[64],"are":[65],"extended,":[66],"along":[67],"notion":[70],"compact":[72],"set":[73],"dealing":[75],"rule":[77],"redundancy":[78],"conflict.":[80],"Furthermore,":[81],"corresponding":[83],"algorithm":[85],"introduced":[87],"tested":[89],"benchmarking":[91],"datasets.":[92],"The":[93],"experimental":[94],"results":[95],"revealed":[96],"that":[97],"CFAR":[98],"generated":[99],"better":[100],"understandability":[101],"terms":[103],"fewer":[105],"smother":[108],"boundaries":[109],"than":[110],"traditional":[112],"CBA":[113],"approach":[114],"while":[115],"maintaining":[116],"satisfactory":[117],"accuracy.":[118]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}