{"id":"https://openalex.org/W1992968840","doi":"https://doi.org/10.4028/www.scientific.net/amm.373-375.1085","title":"A New Optimal Binary Tree SVM Multi-Class Classification Algorithm","display_name":"A New Optimal Binary Tree SVM Multi-Class Classification Algorithm","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W1992968840","doi":"https://doi.org/10.4028/www.scientific.net/amm.373-375.1085","mag":"1992968840"},"language":"en","primary_location":{"id":"doi:10.4028/www.scientific.net/amm.373-375.1085","doi":"https://doi.org/10.4028/www.scientific.net/amm.373-375.1085","is_oa":true,"landing_page_url":"https://doi.org/10.4028/www.scientific.net/amm.373-375.1085","pdf_url":null,"source":{"id":"https://openalex.org/S128754310","display_name":"Applied Mechanics and Materials","issn_l":"1660-9336","issn":["1660-9336","1662-7482","2297-8941"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310317839","host_organization_name":"Trans Tech Publications","host_organization_lineage":["https://openalex.org/P4310317839"],"host_organization_lineage_names":["Trans Tech Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Mechanics and Materials","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.4028/www.scientific.net/amm.373-375.1085","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yu Ping Qin","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I97009856","display_name":"Bohai University","ror":"https://ror.org/01kdzej58","country_code":"CN","type":"education","lineage":["https://openalex.org/I97009856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Ping Qin","raw_affiliation_strings":["Bohai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bohai University","institution_ids":["https://openalex.org/I97009856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031792231","display_name":"Peng Da Qin","orcid":"https://orcid.org/0000-0002-4324-5660","observed_orcids":["https://orcid.org/0000-0002-4324-5660"]},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Da Qin","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yi Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I97009856","display_name":"Bohai University","ror":"https://ror.org/01kdzej58","country_code":"CN","type":"education","lineage":["https://openalex.org/I97009856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wang","raw_affiliation_strings":["Bohai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bohai University","institution_ids":["https://openalex.org/I97009856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056753224","display_name":"Shu Xian Lun","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I97009856","display_name":"Bohai University","ror":"https://ror.org/01kdzej58","country_code":"CN","type":"education","lineage":["https://openalex.org/I97009856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Xian Lun","raw_affiliation_strings":["Bohai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bohai University","institution_ids":["https://openalex.org/I97009856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2605,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55001263,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"biblio":{"volume":"373-375","issue":null,"first_page":"1085","last_page":"1088"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.42289999127388,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.42289999127388,"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":0.2433999925851822,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.23659999668598175,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.8610000014305115},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"multi-class classification","score":0.984000027179718},{"id":"https://openalex.org/keywords/binary-trees","display_name":"binary trees","score":0.75},{"id":"https://openalex.org/keywords/hyperellipsoids","display_name":"hyperellipsoids","score":0.640999972820282},{"id":"https://openalex.org/keywords/classification-speed","display_name":"classification speed","score":0.46000000834465027},{"id":"https://openalex.org/keywords/classification-accuracy","display_name":"classification accuracy","score":0.5149999856948853}],"concepts":[{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.6412538290023804},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6293464303016663},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5894867181777954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5613406896591187},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.553936779499054},{"id":"https://openalex.org/C11829167","wikidata":"https://www.wikidata.org/wiki/Q751292","display_name":"Random binary tree","level":3,"score":0.5191634893417358},{"id":"https://openalex.org/C57489055","wikidata":"https://www.wikidata.org/wiki/Q190046","display_name":"Ellipsoid","level":2,"score":0.5189528465270996},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5185428261756897},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5108234882354736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4847940504550934},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.41903257369995117},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.41777199506759644},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4143609404563904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3866148591041565},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4028/www.scientific.net/amm.373-375.1085","doi":"https://doi.org/10.4028/www.scientific.net/amm.373-375.1085","is_oa":true,"landing_page_url":"https://doi.org/10.4028/www.scientific.net/amm.373-375.1085","pdf_url":null,"source":{"id":"https://openalex.org/S128754310","display_name":"Applied Mechanics and Materials","issn_l":"1660-9336","issn":["1660-9336","1662-7482","2297-8941"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310317839","host_organization_name":"Trans Tech Publications","host_organization_lineage":["https://openalex.org/P4310317839"],"host_organization_lineage_names":["Trans Tech Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Mechanics and Materials","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.4028/www.scientific.net/amm.373-375.1085","doi":"https://doi.org/10.4028/www.scientific.net/amm.373-375.1085","is_oa":true,"landing_page_url":"https://doi.org/10.4028/www.scientific.net/amm.373-375.1085","pdf_url":null,"source":{"id":"https://openalex.org/S128754310","display_name":"Applied Mechanics and Materials","issn_l":"1660-9336","issn":["1660-9336","1662-7482","2297-8941"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310317839","host_organization_name":"Trans Tech Publications","host_organization_lineage":["https://openalex.org/P4310317839"],"host_organization_lineage_names":["Trans Tech Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Mechanics and Materials","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2156909104","https://openalex.org/W6600319451","https://openalex.org/W6600424091","https://openalex.org/W6605731416","https://openalex.org/W6649969617"],"related_works":["https://openalex.org/W2781675902","https://openalex.org/W2004049408","https://openalex.org/W2354687562","https://openalex.org/W2351618983","https://openalex.org/W2387089138","https://openalex.org/W2147696015","https://openalex.org/W2371072119","https://openalex.org/W2376851399","https://openalex.org/W2393684182","https://openalex.org/W1972646511"],"abstract_inverted_index":{"A":[0],"improved":[1],"binary":[2,28,44],"tree":[3,29,45],"SVM":[4],"multi-class":[5],"classification":[6,99,102,128,131],"algorithm":[7,97,123],"is":[8,76],"proposed.":[9],"Firstly,":[10],"constructing":[11],"the":[12,21,32,43,47,51,56,61,69,73,77,80,87,91,96,106,109,122,127],"minimum":[13],"hyper":[14,33],"ellipsoid":[15,34],"for":[16,38],"each":[17],"class":[18,71,78,112],"sample":[19,52],"in":[20,42,105],"feather":[22],"space,":[23],"and":[24,68,90,101,115,130],"then":[25],"generating":[26],"optimal":[27],"according":[30],"to":[31,53],"volume,":[35],"training":[36],"sub-classifier":[37],"every":[39],"non-leaf":[40],"node":[41,63,75],"at":[46],"same":[48],"time.":[49],"For":[50],"be":[54],"classified,":[55],"sub-classifiers":[57],"are":[58,84,113,119],"used":[59],"from":[60],"root":[62],"until":[64],"one":[65],"leaf":[66,74],"node,":[67],"corresponding":[70],"of":[72,79,111],"sample.":[81],"The":[82],"experiments":[83],"done":[85],"on":[86],"Statlog":[88],"database,":[89],"experimental":[92],"results":[93],"show":[94],"that":[95,108],"improves":[98],"precision":[100,129],"speed,":[103],"especially":[104],"situation":[107],"number":[110],"more":[114],"their":[116],"distribution":[117],"area":[118],"equal":[120],"approximately,":[121],"can":[124],"greatly":[125],"improve":[126],"speed.":[132]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2016-06-24T00:00:00"}
