{"id":"https://openalex.org/W2139207995","doi":"https://doi.org/10.1109/icpr.2006.643","title":"Hybrid Kernel Machine Ensemble for Imbalanced Data Sets","display_name":"Hybrid Kernel Machine Ensemble for Imbalanced Data Sets","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2139207995","doi":"https://doi.org/10.1109/icpr.2006.643","mag":"2139207995"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2006.643","doi":"https://doi.org/10.1109/icpr.2006.643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2006.643","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th International Conference on Pattern Recognition (ICPR'06)","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W2139207995"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"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/A5073217958","display_name":"Peng Li","orcid":"https://orcid.org/0000-0003-1066-6642","observed_orcids":["https://orcid.org/0000-0003-1066-6642","https://orcid.org/0000-0002-9428-6374"]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Peng Li","raw_affiliation_strings":["Biomedical Engineering Research Center, Nanyang Technological University, Singapore","Nanyang Technological University (Singapore)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Research Center, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University (Singapore)","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109105937","display_name":"Kap Luk Chan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kap Luk Chan","raw_affiliation_strings":["Biomedical Engineering Research Center, Nanyang Technological University, Singapore","Nanyang Technological University (Singapore)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Research Center, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University (Singapore)","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109939753","display_name":"Wen Pinn Fang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wen Fang","raw_affiliation_strings":["Biomedical Engineering Research Center, Nanyang Technological University, Singapore","Nanyang Technological University (Singapore)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Research Center, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University (Singapore)","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.743,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.64094154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1108","last_page":"1111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9984999895095825,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9984999895095825,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.0006000000284984708,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.0,"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/class-imbalance","display_name":"class imbalance","score":0.9330000281333923},{"id":"https://openalex.org/keywords/support-vector-machine-ensemble","display_name":"support vector machine ensemble","score":0.6980000138282776},{"id":"https://openalex.org/keywords/one-class-svm","display_name":"one-class support vector machine","score":0.6600000262260437},{"id":"https://openalex.org/keywords/minority-class-representation","display_name":"minority class representation","score":0.8460000157356262},{"id":"https://openalex.org/keywords/binary-classification","display_name":"binary classification","score":0.45500001311302185}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8747692108154297},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.802751362323761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6959919929504395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6917023658752441},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6665703058242798},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6603730320930481},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6460416316986084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6090564727783203},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5470957159996033},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5332056879997253},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4564128518104553},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4503525495529175},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.4232701361179352},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3775736093521118},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15452000498771667},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icpr.2006.643","doi":"https://doi.org/10.1109/icpr.2006.643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2006.643","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th International Conference on Pattern Recognition (ICPR'06)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.513.7828","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.513.7828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www0.cs.ucl.ac.uk/staff/P.Li/publication/ICPR2006.pdf","raw_type":"text"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:174513","doi":null,"is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/174513/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"In: Tang, YY and Wang, SP and Lorette, G and Yeung, DS and Yan, H, (eds.) (pp. pp. 1108-1111). IEEE Computer Society Press: Los Alamitos, US. (2006)","raw_type":"Proceedings paper"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W85350352","https://openalex.org/W1551909886","https://openalex.org/W1941659294","https://openalex.org/W2016648380","https://openalex.org/W2023299139","https://openalex.org/W2084812512","https://openalex.org/W2132870739","https://openalex.org/W2148143831","https://openalex.org/W2148603752","https://openalex.org/W2154312163","https://openalex.org/W2158275940","https://openalex.org/W2982720039"],"related_works":["https://openalex.org/W148048567","https://openalex.org/W2010789233","https://openalex.org/W2126734246","https://openalex.org/W1480663908","https://openalex.org/W2889445182","https://openalex.org/W3134596118","https://openalex.org/W2154108938","https://openalex.org/W2296497900","https://openalex.org/W2585036687","https://openalex.org/W2049806947"],"abstract_inverted_index":{"A":[0,54],"two-class":[1],"imbalanced":[2],"data":[3,9,18,63,106],"problem":[4],"(IDP)":[5],"emerges":[6],"when":[7],"the":[8,17,38,47,51,62,65,76,80,96,109],"from":[10,19,64,91],"majority":[11],"class":[12,21,67],"are":[13,22],"compactly":[14],"clustered":[15],"and":[16,103],"minority":[20,52],"scattered.":[23],"Though":[24],"a":[25],"discriminative":[26],"binary":[27],"support":[28,108],"vector":[29],"machine":[30],"(SVM)":[31],"can":[32,58,88],"be":[33,59],"trained":[34,60],"by":[35],"manually":[36],"balancing":[37],"data,":[39],"its":[40],"performance":[41],"is":[42,71],"usually":[43],"poor":[44],"due":[45],"to":[46],"inadequate":[48],"representation":[49],"of":[50,79,83,111],"class.":[53],"recognition-based":[55],"one-class":[56],"SVM":[57],"using":[61],"well-represented":[66],"only.":[68],"However,":[69],"it":[70],"not":[72],"highly":[73],"discriminative.":[74],"Exploiting":[75],"complementary":[77],"natures":[78],"two":[81],"types":[82],"SVMs":[84],"in":[85,94],"an":[86],"ensemble":[87],"bring":[89],"benefits":[90],"both":[92,101],"worlds":[93],"addressing":[95],"IDP.":[97],"Experimental":[98],"results":[99],"on":[100],"artificial":[102],"real":[104],"benchmark":[105],"sets":[107],"feasibility":[110],"our":[112],"proposed":[113],"method":[114]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2016-06-24T00:00:00"}