{"id":"https://openalex.org/W2121752784","doi":"https://doi.org/10.1109/fskd.2011.6019745","title":"Build decision tree on support vector machine","display_name":"Build decision tree on support vector machine","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2121752784","doi":"https://doi.org/10.1109/fskd.2011.6019745","mag":"2121752784"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2011.6019745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6019745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5040628272","display_name":"Dexian Zhang","orcid":"https://orcid.org/0000-0002-9958-0791"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]},{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]},{"id":"https://openalex.org/I4210094772","display_name":"Henan University of Engineering","ror":"https://ror.org/007wym039","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210094772"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dexian Zhang","raw_affiliation_strings":["School of Information Science and Engineering Henan University of Technology Henan, P.R. China","Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering Henan University of Technology Henan, P.R. China","institution_ids":["https://openalex.org/I36152291","https://openalex.org/I4210094772","https://openalex.org/I167383011"]},{"raw_affiliation_string":"Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011077051","display_name":"Xiaobo Jin","orcid":"https://orcid.org/0000-0003-1671-1379"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]},{"id":"https://openalex.org/I4210094772","display_name":"Henan University of Engineering","ror":"https://ror.org/007wym039","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210094772"]},{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Bo Jin","raw_affiliation_strings":["School of Information Science and Engineering Henan University of Technology Henan, P.R. China","Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering Henan University of Technology Henan, P.R. China","institution_ids":["https://openalex.org/I36152291","https://openalex.org/I4210094772","https://openalex.org/I167383011"]},{"raw_affiliation_string":"Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., China","institution_ids":["https://openalex.org/I36152291"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040628272"],"corresponding_institution_ids":["https://openalex.org/I167383011","https://openalex.org/I36152291","https://openalex.org/I4210094772"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1643599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"997","last_page":"1001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9914000034332275,"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":0.9914000034332275,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9764000177383423,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/overfitting","display_name":"Overfitting","score":0.794021725654602},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7860527634620667},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7325406670570374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7322272062301636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6655277609825134},{"id":"https://openalex.org/keywords/alternating-decision-tree","display_name":"Alternating decision tree","score":0.5838024616241455},{"id":"https://openalex.org/keywords/tree-kernel","display_name":"Tree kernel","score":0.5812629461288452},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5776011943817139},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5254732370376587},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.521225094795227},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48250508308410645},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.46348363161087036},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.44204580783843994},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.4387429356575012},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4044647216796875},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.3562964200973511},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.3294098377227783},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2573779225349426},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11829185485839844}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.794021725654602},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7860527634620667},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7325406670570374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7322272062301636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6655277609825134},{"id":"https://openalex.org/C120136583","wikidata":"https://www.wikidata.org/wiki/Q4736414","display_name":"Alternating decision tree","level":5,"score":0.5838024616241455},{"id":"https://openalex.org/C140417398","wikidata":"https://www.wikidata.org/wiki/Q16933942","display_name":"Tree kernel","level":5,"score":0.5812629461288452},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5776011943817139},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5254732370376587},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.521225094795227},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48250508308410645},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.46348363161087036},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.44204580783843994},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.4387429356575012},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4044647216796875},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.3562964200973511},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.3294098377227783},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2573779225349426},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11829185485839844},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2011.6019745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6019745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6399999856948853,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320327776","display_name":"Innovation Scientists and Technicians Troop Construction Projects of Henan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W136993337","https://openalex.org/W152751697","https://openalex.org/W1645738616","https://openalex.org/W1833977909","https://openalex.org/W1943652818","https://openalex.org/W1966517947","https://openalex.org/W2084812512","https://openalex.org/W2111620756","https://openalex.org/W2125055259","https://openalex.org/W2127609382","https://openalex.org/W2131064753","https://openalex.org/W2134794978","https://openalex.org/W2134799401","https://openalex.org/W2137900839","https://openalex.org/W2140452754","https://openalex.org/W2154142492","https://openalex.org/W2171583938","https://openalex.org/W2229641681","https://openalex.org/W2982720039","https://openalex.org/W6605586802","https://openalex.org/W6606349838","https://openalex.org/W6636995944","https://openalex.org/W6676949966","https://openalex.org/W6679339993","https://openalex.org/W6689512819"],"related_works":["https://openalex.org/W3013206934","https://openalex.org/W2130792056","https://openalex.org/W32136235","https://openalex.org/W2096302783","https://openalex.org/W3100948281","https://openalex.org/W4211004881","https://openalex.org/W1535136526","https://openalex.org/W1969447452","https://openalex.org/W2075298172","https://openalex.org/W2036663517"],"abstract_inverted_index":{"C4.5":[0,152],"is":[1,17],"a":[2,37],"popular":[3],"classification":[4,13],"method":[5,41],"which":[6,48],"can":[7,97],"give":[8],"the":[9,23,27,30,43,50,53,58,61,72,75,78,81,84,87,91,94,103,109,114,117,121,124,128,131,135,139,143,148,151,165],"explainable":[10],"and":[11,90,133,150],"intuitional":[12],"rules.":[14],"But":[15],"it":[16],"prone":[18],"to":[19,22,56,70,127],"overfitting":[20],"due":[21],"data":[24],"noise":[25],"or":[26],"distribution":[28],"of":[29,52,74,83,93,116,123,130],"instances.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35,107],"proposed":[36],"new":[38],"decision":[39,54,95],"tree":[40,55],"with":[42],"support":[44],"vector":[45],"machine":[46,158],"(SVM-DTR),":[47],"make":[49],"surface":[51,96],"discriminate":[57],"instances":[59],"from":[60,142,156],"different":[62],"categories":[63],"as":[64,66,102,113],"far":[65],"possible.":[67],"SVMis":[68],"used":[69],"measure":[71],"importance":[73],"attribute":[76,88,112],"on":[77,153],"fact":[79],"that":[80,162],"cosine":[82],"angle":[85],"between":[86,147],"axis":[89],"normal":[92],"quantize":[98],"its":[99],"significance.":[100],"Similar":[101],"C4.5,":[104],"each":[105],"time":[106],"choose":[108],"most":[110],"important":[111],"root":[115],"sub-tree.":[118],"We":[119],"analyze":[120],"influence":[122],"kernel":[125,140],"width":[126,141],"magnitude":[129],"gradient":[132],"obtain":[134],"empirical":[136],"settings":[137],"about":[138],"experiments.":[144],"The":[145],"comparisons":[146],"SVM-DTR":[149,163],"5":[154],"datasets":[155],"UCI":[157],"learning":[159],"repository":[160],"show":[161],"achieve":[164],"better":[166],"performance":[167],"than":[168],"C4.5.":[169]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
