{"id":"https://openalex.org/W2125500223","doi":"https://doi.org/10.1109/fuzz.2002.1006622","title":"Fuzzy data mining for discovering changes in association rules over time","display_name":"Fuzzy data mining for discovering changes in association rules over time","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2125500223","doi":"https://doi.org/10.1109/fuzz.2002.1006622","mag":"2125500223"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz.2002.1006622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2002.1006622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291)","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/A5044090887","display_name":"Wai-Ho Au","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Wai-Ho Au","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong, China","Dept. of Comput., Hong Kong Polytech. Univ., Kowloon, China"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Dept. of Comput., Hong Kong Polytech. Univ., Kowloon, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107049960","display_name":"Keith C. C. Chan","orcid":"https://orcid.org/0000-0001-7962-6564"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"K.C.C. Chan","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong, China","Dept. of Comput., Hong Kong Polytech. Univ., Kowloon, China"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Dept. of Comput., Hong Kong Polytech. Univ., Kowloon, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044090887"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":2.4012,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.92200176,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"890","last_page":"895"},"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":0.9466999769210815,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9415000081062317,"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":0.896589994430542},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7751392126083374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7358745336532593},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6265915036201477},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5612176060676575},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.46863532066345215},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4199034571647644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35002467036247253},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11590498685836792}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.896589994430542},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7751392126083374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7358745336532593},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6265915036201477},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5612176060676575},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.46863532066345215},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4199034571647644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35002467036247253},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11590498685836792},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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":2,"locations":[{"id":"doi:10.1109/fuzz.2002.1006622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2002.1006622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.19.4959","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.4959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www4.comp.polyu.edu.hk/~cswhau/fuzz-ieee02.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W20184837","https://openalex.org/W1484413656","https://openalex.org/W1566934627","https://openalex.org/W1943206716","https://openalex.org/W2000473687","https://openalex.org/W2019486799","https://openalex.org/W2068515539","https://openalex.org/W2069176735","https://openalex.org/W2114624736","https://openalex.org/W2124938353","https://openalex.org/W2139038057","https://openalex.org/W2154642793","https://openalex.org/W2160671582","https://openalex.org/W2166559705","https://openalex.org/W2166827105","https://openalex.org/W2997167919","https://openalex.org/W6600858232","https://openalex.org/W6628750762","https://openalex.org/W6633852714","https://openalex.org/W6655095229","https://openalex.org/W6678607793","https://openalex.org/W6680605952","https://openalex.org/W6682837551","https://openalex.org/W6685041505"],"related_works":["https://openalex.org/W2751920613","https://openalex.org/W2415164632","https://openalex.org/W2238349241","https://openalex.org/W2355668701","https://openalex.org/W2370453500","https://openalex.org/W2079402849","https://openalex.org/W2359717995","https://openalex.org/W2392697706","https://openalex.org/W366033468","https://openalex.org/W2391054147"],"abstract_inverted_index":{"Association":[0],"rule":[1],"mining":[2,9,57,90,120,137,196],"is":[3,41,95,101,167,192],"an":[4,96],"important":[5,97],"topic":[6],"in":[7,28,36,64,72,93,115,142,156,177,195,200],"data":[8,30,45,56,114,119,136],"research.":[10],"Many":[11],"algorithms":[12,58,121],"have":[13,59,187],"been":[14],"developed":[15,124],"for":[16,85,125],"such":[17],"task":[18],"and":[19,47,68,197],"they":[20],"typically":[21],"assume":[22],"that":[23,43,103,189],"the":[24,29,44,49,62,79,89,108,112,116,154,161,172,178],"underlying":[25],"associations":[26,50,65,94],"hidden":[27],"are":[31,83,122],"stable":[32],"over":[33,53,145,203],"time.":[34,54,146,204],"However,":[35],"real":[37],"world":[38],"domains,":[39],"it":[40,100],"possible":[42],"characteristics":[46],"hence":[48],"change":[51,176],"significantly":[52],"Existing":[55],"not":[60,123],"taken":[61],"changes":[63,92,141,155,199],"into":[66],"consideration":[67],"this":[69,126,129],"can":[70],"result":[71],"severe":[73],"degradation":[74],"of":[75,91],"performance,":[76],"especially":[77],"when":[78],"discovered":[80,162],"association":[81,143,157,173,201],"rules":[82,144,151,174,202],"used":[84],"classification":[86],"(prediction).":[87],"Although":[88],"problem":[98],"because":[99],"common":[102],"we":[104,131],"need":[105],"to":[106,139,152,169],"predict":[107,170],"future":[109],"based":[110],"on":[111,160,183],"historical":[113],"past,":[117],"existing":[118],"task.":[127],"In":[128],"paper,":[130],"introduce":[132],"a":[133,184],"new":[134],"fuzzy":[135,150,163],"technique":[138],"discover":[140],"Our":[147],"approach":[148,166,191],"mines":[149],"represent":[153],"rules.":[158],"Based":[159],"rules,":[164],"our":[165,190],"able":[168],"how":[171],"will":[175],"future.":[179],"The":[180],"experimental":[181],"results":[182],"real-life":[185],"database":[186],"shown":[188],"very":[193],"effective":[194],"predicting":[198]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
