{"id":"https://openalex.org/W2153086337","doi":"https://doi.org/10.1109/ijcnn.2008.4634264","title":"Information-based dichotomization: A method for multiclass Support Vector Machines","display_name":"Information-based dichotomization: A method for multiclass Support Vector Machines","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2153086337","doi":"https://doi.org/10.1109/ijcnn.2008.4634264","mag":"2153086337"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2008.4634264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","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/A5088336446","display_name":"Patoomsiri Songsiri","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Patoomsiri Songsiri","raw_affiliation_strings":["Department of Computer and Technology, Mahidol Wittayanusorn School National Science High School of Thailand, Department of Computer Engineering, Faculty of Engineering, Chulalongkom University, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Technology, Mahidol Wittayanusorn School National Science High School of Thailand, Department of Computer Engineering, Faculty of Engineering, Chulalongkom University, Bangkok, Thailand","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065724368","display_name":"Boonserm Kijsirikul","orcid":"https://orcid.org/0000-0002-9046-7151"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Boonserm Kijsirikul","raw_affiliation_strings":["Department of Computer Engineering, Faculty of Engineering, Chulalongkom University, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Faculty of Engineering, Chulalongkom University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046169350","display_name":"Thimaporn Phetkaew","orcid":"https://orcid.org/0000-0002-2052-8377"},"institutions":[{"id":"https://openalex.org/I96916377","display_name":"Walailak University","ror":"https://ror.org/04b69g067","country_code":"TH","type":"education","lineage":["https://openalex.org/I96916377"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Thimaporn Phetkaew","raw_affiliation_strings":["School of Informatics, Walailak University, Thailand"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Walailak University, Thailand","institution_ids":["https://openalex.org/I96916377"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088336446"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0536,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80936528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"3284","last_page":"3291"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9986000061035156,"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":0.9986000061035156,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9811999797821045,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9758999943733215,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8640370965003967},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.7763554453849792},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.7092363238334656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6822792291641235},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.6456930637359619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5983282327651978},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5751022100448608},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5254089832305908},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5231641530990601},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5161148309707642},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4724208116531372},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.470891535282135},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46428433060646057},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.45575135946273804},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44790786504745483},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24990445375442505},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.198565274477005}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8640370965003967},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.7763554453849792},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.7092363238334656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6822792291641235},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.6456930637359619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5983282327651978},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5751022100448608},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5254089832305908},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5231641530990601},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5161148309707642},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4724208116531372},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.470891535282135},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46428433060646057},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.45575135946273804},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44790786504745483},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24990445375442505},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.198565274477005},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2008.4634264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1513291100","https://openalex.org/W1658064490","https://openalex.org/W2084812512","https://openalex.org/W2136100740","https://openalex.org/W2148603752","https://openalex.org/W2157239837","https://openalex.org/W2172000360","https://openalex.org/W3163638146","https://openalex.org/W4231172192","https://openalex.org/W6637005232","https://openalex.org/W6680356692","https://openalex.org/W6795924076"],"related_works":["https://openalex.org/W2347829948","https://openalex.org/W2186666570","https://openalex.org/W2215801697","https://openalex.org/W2470590370","https://openalex.org/W1537592868","https://openalex.org/W2353238494","https://openalex.org/W2104406636","https://openalex.org/W2972916162","https://openalex.org/W2544750528","https://openalex.org/W2059786299"],"abstract_inverted_index":{"Approaches":[0],"for":[1,45],"solving":[2],"a":[3,38,47,57],"multiclass":[4],"classification":[5,22,30,49,76],"problem":[6,17],"by":[7],"support":[8],"vector":[9],"machines":[10],"(SVMs)":[11],"are":[12],"typically":[13],"to":[14,77,108],"consider":[15],"the":[16,54,61,68,75,78,81,96],"as":[18],"combination":[19],"of":[20,53,70,80,83],"two-class":[21],"problems.":[23],"Previous":[24],"approaches":[25],"have":[26],"some":[27],"limitations":[28],"in":[29,74],"accuracy":[31,106],"and":[32],"evaluation":[33,101],"time.":[34],"This":[35],"paper":[36],"proposes":[37],"novel":[39],"method":[40,65,98],"that":[41,95],"employs":[42],"information-based":[43],"dichotomization":[44],"constructing":[46],"binary":[48,58,71],"tree.":[50],"Each":[51],"node":[52],"tree":[55],"is":[56,86],"SVM":[59],"with":[60],"minimum":[62],"entropy.":[63],"Our":[64],"can":[66],"reduce":[67],"number":[69,82],"SVMs":[72],"used":[73],"logarithm":[79],"classes":[84],"which":[85],"lower":[87,100],"than":[88],"previous":[89],"methods.":[90,110],"The":[91],"experimental":[92],"results":[93],"show":[94],"proposed":[97],"takes":[99],"time":[102],"while":[103],"it":[104],"maintains":[105],"compared":[107],"other":[109]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"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"}
