{"id":"https://openalex.org/W2114873666","doi":"https://doi.org/10.1109/iri.2009.5211540","title":"A new framework for an adaptive classifier model","display_name":"A new framework for an adaptive classifier model","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2114873666","doi":"https://doi.org/10.1109/iri.2009.5211540","mag":"2114873666"},"language":"en","primary_location":{"id":"doi:10.1109/iri.2009.5211540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2009.5211540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Information Reuse &amp; Integration","raw_type":"proceedings-article"},"type":"conference-paper","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/A5023620218","display_name":"Iltae Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Iltae Lee","raw_affiliation_strings":["Department of Computer Science, University of Calgary, Calgary, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040230185","display_name":"Keivan Kianmehr","orcid":null},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Keivan Kianmehr","raw_affiliation_strings":["Department of Computer Science, University of Calgary, Calgary, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022258058","display_name":"Negar Koochakzadeh","orcid":null},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Negar Koochakzadeh","raw_affiliation_strings":["Department of Computer Science, University of Calgary, Calgary, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066265052","display_name":"Reda Alhajj","orcid":"https://orcid.org/0000-0001-6657-9738"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]},{"id":"https://openalex.org/I904090387","display_name":"Global University","ror":"https://ror.org/04frhb927","country_code":"LB","type":"education","lineage":["https://openalex.org/I904090387"]}],"countries":["CA","LB"],"is_corresponding":false,"raw_author_name":"Reda Alhajj","raw_affiliation_strings":["Department of Computer Science, Global University, Beirut, Lebanon","Department of Computer Science, University of Calgary, Calgary, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Global University, Beirut, Lebanon","institution_ids":["https://openalex.org/I904090387"]},{"raw_affiliation_string":"Department of Computer Science, University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020310155","display_name":"Jon Rokne","orcid":"https://orcid.org/0000-0002-3439-2917"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jon Rokne","raw_affiliation_strings":["Department of Computer Science, University of Calgary, Calgary, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"138","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9962999820709229,"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"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9962999820709229,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9884999990463257,"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/T10057","display_name":"Face and Expression Recognition","score":0.9871000051498413,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7928468585014343},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.7439466714859009},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7236835956573486},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6770464777946472},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6070663928985596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5941040515899658},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.5269021987915039},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.526772141456604},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5215837359428406},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5027806758880615},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5003452301025391},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46470868587493896},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.44469475746154785},{"id":"https://openalex.org/keywords/margin-classifier","display_name":"Margin classifier","score":0.4390515387058258},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.2573527693748474},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.2493724524974823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7928468585014343},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.7439466714859009},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7236835956573486},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6770464777946472},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6070663928985596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5941040515899658},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.5269021987915039},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.526772141456604},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5215837359428406},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5027806758880615},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5003452301025391},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46470868587493896},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.44469475746154785},{"id":"https://openalex.org/C173102733","wikidata":"https://www.wikidata.org/wiki/Q6760396","display_name":"Margin classifier","level":3,"score":0.4390515387058258},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.2573527693748474},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.2493724524974823},{"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iri.2009.5211540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2009.5211540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Information Reuse &amp; Integration","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":26,"referenced_works":["https://openalex.org/W123676262","https://openalex.org/W259338706","https://openalex.org/W1533009136","https://openalex.org/W1563088657","https://openalex.org/W1588401315","https://openalex.org/W1673310716","https://openalex.org/W2031839470","https://openalex.org/W2038813691","https://openalex.org/W2074650777","https://openalex.org/W2103845148","https://openalex.org/W2107966405","https://openalex.org/W2121423746","https://openalex.org/W2134903366","https://openalex.org/W2140190241","https://openalex.org/W2148603752","https://openalex.org/W2157747774","https://openalex.org/W2168867644","https://openalex.org/W2472578711","https://openalex.org/W2999481039","https://openalex.org/W4233583441","https://openalex.org/W4236187132","https://openalex.org/W4248728904","https://openalex.org/W4285719527","https://openalex.org/W6635310694","https://openalex.org/W6677768686","https://openalex.org/W6680058381"],"related_works":["https://openalex.org/W1999699871","https://openalex.org/W4225124612","https://openalex.org/W2043806667","https://openalex.org/W2021633306","https://openalex.org/W2006801911","https://openalex.org/W2033669961","https://openalex.org/W2971899271","https://openalex.org/W1972167985","https://openalex.org/W209733029","https://openalex.org/W3019226033"],"abstract_inverted_index":{"In":[0,56],"this":[1,103],"paper,":[2],"a":[3,15,29,51],"new":[4,73,84,99],"framework":[5,100],"to":[6,28,34,116],"build":[7],"an":[8],"adaptive":[9],"classifier":[10,52,107],"is":[11,26,54,92],"introduced.":[12],"At":[13],"first,":[14],"clustering":[16,20],"algorithm,":[17],"density-based":[18],"spatial":[19],"of":[21,31,38,120],"applications":[22],"with":[23,82],"noise":[24],"(DBSCAN)":[25],"applied":[27],"set":[30,37,115],"sample":[32],"data":[33,60,85,91,111,114],"form":[35],"initial":[36],"clusters.":[39],"The":[40,98],"clusters":[41],"are":[42],"represented":[43],"as":[44,80],"classes.":[45],"Using":[46],"support":[47],"vector":[48],"machine":[49],"(SVM),":[50],"model":[53,67,76,108],"generated.":[55],"real":[57],"world":[58],"application,":[59],"comes":[61],"in":[62,102],"continuously.":[63],"Therefore,":[64],"if":[65],"the":[66,72,75,83,88,95,106,118,121],"does":[68],"not":[69,78],"learn":[70],"from":[71,94,112],"data,":[74],"may":[77],"perform":[79],"well":[81],"especially":[86],"when":[87],"model's":[89],"training":[90],"different":[93],"test":[96,113],"data.":[97],"proposed":[101],"paper":[104],"rebuilds":[105],"using":[109],"selected":[110],"improve":[117],"accuracy":[119],"model.":[122]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
