{"id":"https://openalex.org/W2122339779","doi":"https://doi.org/10.1109/icmlc.2011.6016766","title":"A novel associative classification algorithm: A combination of LAC and CMAR with new measure of weighted effect of each rule group","display_name":"A novel associative classification algorithm: A combination of LAC and CMAR with new measure of weighted effect of each rule group","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2122339779","doi":"https://doi.org/10.1109/icmlc.2011.6016766","mag":"2122339779"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2011.6016766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2011.6016766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Machine Learning and Cybernetics","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/A5001724366","display_name":"Pei-Yi Hao","orcid":"https://orcid.org/0000-0003-3300-3710"},"institutions":[{"id":"https://openalex.org/I89178830","display_name":"National Kaohsiung University of Applied Sciences","ror":"https://ror.org/04wydzr61","country_code":"TW","type":"education","lineage":["https://openalex.org/I89178830"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Pei-Yi Hao","raw_affiliation_strings":["Department of Information Management, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan","Department of Information Management , National Kaohsiung University of Applied Sciences , Kaohsiung , Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I89178830"]},{"raw_affiliation_string":"Department of Information Management , National Kaohsiung University of Applied Sciences , Kaohsiung , Taiwan","institution_ids":["https://openalex.org/I89178830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090963453","display_name":"Yude Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I89178830","display_name":"National Kaohsiung University of Applied Sciences","ror":"https://ror.org/04wydzr61","country_code":"TW","type":"education","lineage":["https://openalex.org/I89178830"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-De Chen","raw_affiliation_strings":["Department of Information Management, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan","Department of Information Management , National Kaohsiung University of Applied Sciences , Kaohsiung , Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I89178830"]},{"raw_affiliation_string":"Department of Information Management , National Kaohsiung University of Applied Sciences , Kaohsiung , Taiwan","institution_ids":["https://openalex.org/I89178830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001724366"],"corresponding_institution_ids":["https://openalex.org/I89178830"],"apc_list":null,"apc_paid":null,"fwci":1.4779,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88469716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"891","last_page":"896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9958999752998352,"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":0.9900000095367432,"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/associative-property","display_name":"Associative property","score":0.8696398138999939},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.7240524291992188},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6381471753120422},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.562992513179779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.54816073179245},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5450260639190674},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.48503607511520386},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.48141881823539734},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43503546714782715},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41801512241363525},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3958742916584015},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38298529386520386},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36858415603637695}],"concepts":[{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.8696398138999939},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.7240524291992188},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6381471753120422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.562992513179779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.54816073179245},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5450260639190674},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.48503607511520386},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.48141881823539734},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43503546714782715},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41801512241363525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3958742916584015},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38298529386520386},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36858415603637695},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2011.6016766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2011.6016766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Machine Learning and Cybernetics","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/W146100937","https://openalex.org/W1506285740","https://openalex.org/W1584683538","https://openalex.org/W1585743408","https://openalex.org/W2064853889","https://openalex.org/W2118938540","https://openalex.org/W2136565860","https://openalex.org/W2154642793","https://openalex.org/W2166559705","https://openalex.org/W2167681385","https://openalex.org/W2998574808","https://openalex.org/W4252403066","https://openalex.org/W6605896687","https://openalex.org/W6630198464","https://openalex.org/W6635046684","https://openalex.org/W6635088690","https://openalex.org/W6682837551","https://openalex.org/W6684495928"],"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/W1533029210","https://openalex.org/W2148338580","https://openalex.org/W2069475801"],"abstract_inverted_index":{"In":[0,61],"recent,":[1],"Association":[2],"Classification":[3],"not":[4],"only":[5],"has":[6,11],"widely":[7],"adopted":[8],"but":[9],"also":[10],"performed":[12],"well":[13],"in":[14,71],"data":[15,86],"mining.":[16,60],"The":[17,94],"literatures":[18],"have":[19,31],"been":[20],"argued":[21],"that":[22,99],"the":[23],"small":[24],"disjunction":[25],"and":[26,49],"using":[27],"multiple":[28],"class-association":[29],"rules":[30],"significant":[32],"effect":[33],"on":[34,41,45,90],"classification":[35],"accuracy.":[36,105],"This":[37,81],"paper":[38,82],"is":[39,103],"based":[40,44],"CMAR":[42],"(Classification":[43],"Multiple":[46],"Class-Association":[47],"Rules)":[48],"Adriano":[50],"Veloso":[51],"proposed":[52,92,101],"Lazy":[53],"Associative":[54],"Classifier":[55],"algorithm":[56,73,102],"for":[57,88],"Small":[58],"Disjunction":[59],"addition,":[62],"we":[63],"collocate":[64],"with":[65],"a":[66],"new":[67],"weight":[68,76],"calculation":[69],"method":[70],"our":[72,91,100],"to":[74],"solve":[75],"bias":[77],"problem":[78],"of":[79],"CMAR.":[80],"uses":[83],"UCI":[84],"26":[85],"set":[87],"experiment":[89],"algorithm.":[93],"finally":[95],"results":[96],"convincingly":[97],"demonstrated":[98],"high":[104]},"counts_by_year":[{"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"}
