{"id":"https://openalex.org/W2735259438","doi":"https://doi.org/10.1109/ijcnn.2017.7966086","title":"An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison","display_name":"An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2735259438","doi":"https://doi.org/10.1109/ijcnn.2017.7966086","mag":"2735259438"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","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/A5014752949","display_name":"Md Asafuddoula","orcid":"https://orcid.org/0000-0003-4102-6349"},"institutions":[{"id":"https://openalex.org/I74899385","display_name":"Central Queensland University","ror":"https://ror.org/023q4bk22","country_code":"AU","type":"education","lineage":["https://openalex.org/I74899385"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Md Asafuddoula","raw_affiliation_strings":["Central Queensland University, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"Central Queensland University, Brisbane, Australia","institution_ids":["https://openalex.org/I74899385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026528338","display_name":"Brijesh Verma","orcid":"https://orcid.org/0000-0002-4618-0479"},"institutions":[{"id":"https://openalex.org/I74899385","display_name":"Central Queensland University","ror":"https://ror.org/023q4bk22","country_code":"AU","type":"education","lineage":["https://openalex.org/I74899385"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Brijesh Verma","raw_affiliation_strings":["Central Queensland University, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"Central Queensland University, Brisbane, Australia","institution_ids":["https://openalex.org/I74899385"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mengjie Zhang","raw_affiliation_strings":["Victoria University of Wellington, Wellington, New Zealand"],"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014752949"],"corresponding_institution_ids":["https://openalex.org/I74899385"],"apc_list":null,"apc_paid":null,"fwci":1.2743,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.87924996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1924","last_page":"1931"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9728000164031982,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9718000292778015,"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/random-subspace-method","display_name":"Random subspace method","score":0.8481652140617371},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6740789413452148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6738547086715698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6633776426315308},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6180093884468079},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6163201332092285},{"id":"https://openalex.org/keywords/cascading-classifiers","display_name":"Cascading classifiers","score":0.5696656107902527},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.5391796827316284},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5115069150924683},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5017199516296387},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42484909296035767}],"concepts":[{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.8481652140617371},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6740789413452148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6738547086715698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6633776426315308},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6180093884468079},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6163201332092285},{"id":"https://openalex.org/C40651066","wikidata":"https://www.wikidata.org/wiki/Q5048220","display_name":"Cascading classifiers","level":4,"score":0.5696656107902527},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.5391796827316284},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5115069150924683},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5017199516296387},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42484909296035767}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:acquire.cqu.edu.au:cqu:14887","is_oa":false,"landing_page_url":"http://hdl.cqu.edu.au/10018/1229174","pdf_url":null,"source":{"id":"https://openalex.org/S4306400635","display_name":"Acquire (CQUniversity)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I74899385","host_organization_name":"Central Queensland University","host_organization_lineage":["https://openalex.org/I74899385"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Asafuddoula, M, Verma, B, Zhang, M, (2017). An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison. 14-19 May 2017, International Joint Conference on Neural Networks (IJCNN 2017), Anchorage, AK, USA, IEEE, Piscataway, NJ., p. 1924-1931, http://dx.doi.org/10.1109/IJCNN.2017.7966086","raw_type":"conference"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1540007258","https://openalex.org/W1570592793","https://openalex.org/W1588100052","https://openalex.org/W1614346187","https://openalex.org/W1617053488","https://openalex.org/W1964832275","https://openalex.org/W1968969471","https://openalex.org/W1973129451","https://openalex.org/W1987539707","https://openalex.org/W2009185755","https://openalex.org/W2010858925","https://openalex.org/W2020801795","https://openalex.org/W2024046085","https://openalex.org/W2048933698","https://openalex.org/W2061082730","https://openalex.org/W2089808283","https://openalex.org/W2096625741","https://openalex.org/W2109743529","https://openalex.org/W2112076978","https://openalex.org/W2124951716","https://openalex.org/W2137002202","https://openalex.org/W2138770315","https://openalex.org/W2144197083","https://openalex.org/W2147564534","https://openalex.org/W2158177997","https://openalex.org/W2163942188","https://openalex.org/W2244486986","https://openalex.org/W3120740533","https://openalex.org/W4212883601","https://openalex.org/W4252684946","https://openalex.org/W4252750723","https://openalex.org/W6634164890","https://openalex.org/W6678735051"],"related_works":["https://openalex.org/W2046975922","https://openalex.org/W1933712933","https://openalex.org/W2057416691","https://openalex.org/W4256395896","https://openalex.org/W2743555903","https://openalex.org/W2968660735","https://openalex.org/W2083259201","https://openalex.org/W2137567908","https://openalex.org/W3080944905","https://openalex.org/W2905430408"],"abstract_inverted_index":{"In":[0,11],"this":[1],"paper,":[2],"we":[3,212],"propose":[4],"an":[5,150,166],"incremental":[6],"ensemble":[7,28,41,76,167,203,231],"classifier":[8,77],"learning":[9],"method.":[10],"the":[12,27,69,94,99,111,134,142,145,153,178,200,206,215,219,222,229],"proposed":[13,189,202,216],"method,":[14],"a":[15,44,59,85,122,139],"set":[16,60,127],"of":[17,31,38,54,61,96,128,136,144,221],"accurate":[18],"and":[19,24,33,56,64,73,141,176,197,208,225],"diverse":[20],"classifiers":[21,39,130,156,162,204,224],"are":[22,119,163,183],"generated":[23],"added":[25],"to":[26,58,67,121,152,165],"by":[29],"means":[30],"accuracy":[32,72,89],"diversity":[34,103],"comparison.":[35],"The":[36,106,188],"selection":[37,78],"in":[40,93,138],"starts":[42],"with":[43,87,98,199],"layer":[45,140],"(where":[46],"data":[47,137],"is":[48,79,90,104,108,131,147,191],"partitioned":[49],"into":[50],"any":[51],"given":[52],"number":[53],"clusters":[55,135],"fed":[57],"base":[62,129,155,161,223],"classifiers)":[63],"then":[65],"continues":[66],"improve":[68],"bias-variance":[70],"(i.e.,":[71,115],"diversity).":[74],"Optimal":[75],"done":[80],"through":[81],"accuracy-precedence-diversity":[82],"comparison,":[83,211],"i.e.,":[84],"model":[86],"better":[88,102,227],"preferred":[91],"but":[92],"case":[95],"models":[97],"same":[100],"accuracy,":[101],"preferred.":[105],"comparison":[107],"made":[109],"on":[110,133,193],"class":[112,117,168],"decomposed":[113,120],"accuracies":[114,118],"all":[116],"scalar":[123],"value).":[124],"A":[125],"non-identical":[126],"trained":[132],"center":[143],"cluster":[146],"recorded":[148],"as":[149],"identifier":[151],"corresponding":[154],"set.":[157],"Decisions":[158],"from":[159],"multiple":[160,181],"fused":[164],"output":[169],"using":[170,185],"majority":[171,186],"voting":[172],"for":[173],"each":[174],"pattern":[175],"finally":[177],"decisions":[179],"across":[180],"layers":[182],"combined":[184],"voting.":[187],"method":[190,217],"evaluated":[192],"UCI":[194],"benchmark":[195],"datasets":[196],"compared":[198],"recently":[201],"including":[205],"Bagging":[207],"Boosting.":[209],"Through":[210],"demonstrate":[213],"that":[214],"improves":[218],"performance":[220],"performs":[226],"than":[228],"existing":[230],"methods.":[232]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}