{"id":"https://openalex.org/W2393720760","doi":null,"title":"Study on Classification Algorithm Based on Three Classification Support Vector Machine","display_name":"Study on Classification Algorithm Based on Three Classification Support Vector Machine","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2393720760","mag":"2393720760"},"language":"en","primary_location":{"id":"mag:2393720760","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTotal-HBGG201505006.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764956812","display_name":"Journal of North University of China","issn_l":"1673-3193","issn":["1673-3193"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4324304531","host_organization_name":"North University of China","host_organization_lineage":["https://openalex.org/P4324304531"],"host_organization_lineage_names":["North University of China"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of North University of China","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhai Ji","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405280936","display_name":"Tianjin College, University of Science and Technology Beijing","ror":"https://ror.org/03mf3yy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405280936"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhai Ji","raw_affiliation_strings":["Tianjin College, University of Science and Technology Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin College, University of Science and Technology Beijing","institution_ids":["https://openalex.org/I4405280936"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4405280936"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.3774000108242035,"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":0.3774000108242035,"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/T12676","display_name":"Machine Learning and ELM","score":0.2605000138282776,"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":0.18310000002384186,"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/multiclass-classification","display_name":"multi-class classification","score":0.9599999785423279},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.878000020980835},{"id":"https://openalex.org/keywords/least-squares-support-vector-machine","display_name":"least squares support vector machine","score":0.7379999756813049}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8125324249267578},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6860973238945007},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.6083934307098389},{"id":"https://openalex.org/C34872919","wikidata":"https://www.wikidata.org/wiki/Q7092302","display_name":"One-class classification","level":3,"score":0.5968343019485474},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5205724835395813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5102009773254395},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.5006983280181885},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.48819953203201294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45523619651794434},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.45012688636779785},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.44648364186286926},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.42064422369003296},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4179116487503052},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3567582368850708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34169596433639526},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34119656682014465},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3348209261894226},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2393720760","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTotal-HBGG201505006.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764956812","display_name":"Journal of North University of China","issn_l":"1673-3193","issn":["1673-3193"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4324304531","host_organization_name":"North University of China","host_organization_lineage":["https://openalex.org/P4324304531"],"host_organization_lineage_names":["North University of China"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of North University of China","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2125251729","https://openalex.org/W2373750669","https://openalex.org/W3145390605","https://openalex.org/W2076300071","https://openalex.org/W2046050158","https://openalex.org/W1558785121","https://openalex.org/W2092300136","https://openalex.org/W2366538410","https://openalex.org/W1775659408","https://openalex.org/W7052996152"],"abstract_inverted_index":{"Solving":[0],"multi-class":[1],"classification":[2],"problems":[3],"by":[4,15,87],"means":[5],"of":[6,50,62],"support":[7],"vector":[8],"machine":[9],"is":[10,80,85],"a":[11],"hot":[12],"topic":[13],"researched":[14],"many":[16],"scholars.Firstly,Least":[17],"Square":[18],"Support":[19],"Vector":[20],"Classification-Regression":[21],"algorithm":[22,79],"was":[23],"analyzed":[24],"in":[25],"the":[26,51,59,63,70,78,83,90],"M":[27],"space.Then":[28],"two":[29],"new":[30],"multi-classification":[31,72],"algorithms":[32],"for":[33],"Kclasses:1-v-1-v-r(one":[34],"versus":[35,37,40,42],"one":[36,41],"rest)and":[38],"1-v-1-v-1(one":[39],"one)were":[43],"proposed":[44],"based":[45,68],"on":[46,69],"tri-classification":[47],"algorithm.When":[48],"all":[49],"data":[52],"set":[53],"were":[54,66],"classified,adding":[55],"correction":[56],"and":[57,82],"ignoring":[58],"low":[60],"accuracy":[61,84],"sub":[64],"classifiers":[65],"used,which":[67],"existing":[71],"algorithm.The":[73],"numerical":[74],"experiments":[75],"show":[76],"that":[77],"effective":[81],"improved":[86],"4.61%":[88],"after":[89],"correction.":[91]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2016-06-24T00:00:00"}