Art

J-GLOBAL ID：201902265723410562   Reference number：19A2761769

Prediction for Student Academic Performance Using SMNaive Bayes Model

SmナイーブBayesモデルを用いた学生の学業成績の予測【JST・京大機械翻訳】

Author (8)： Jia Baoting (Computer School, Beijing Information Science and Technology University, Beijing, China) ,  Niu Ke (Computer School, Beijing Information Science and Technology University, Beijing, China) ,  Niu Ke (CAI, School of Computer Science, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia) ,  Hou Xia (Computer School, Beijing Information Science and Technology University, Beijing, China) ,  Li Ning (Computer School, Beijing Information Science and Technology University, Beijing, China) ,  Peng Xueping (CAI, School of Computer Science, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia) ,  Gu Peipei (Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou, China) ,  Jia Ran (School of mechanical engineering, Beijing institute of technology, Beijing, China)
Material： Lecture Notes in Computer Science  (LNBI)
Volume： 11888  Page： 712-725  Publication year： 2019 
JST Material Number： H0078D  ISSN： 0302-9743  Document type： Proceedings
Article type： 原著論文  Country of issue： Germany, Federal Republic of (DEU)  Language： ENGLISH (EN)

Abstract/Point： Predicting students academic p...

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Thesaurus term： *forecast ,  machine learning ,  optimization ,  effectiveness ,  prediction technique ,  algorithm
Semi thesaurus term： 性能予測 ,  Naive Bayes ,  学業成績 ,  Bayes法 , 【Automatic Indexing@JST】

Author keywords (4)： Academic prediction ,  SMNB ,  MLP ,  Two-Step

JST classification (2)： CAI  (JE09000G) ,  Artificial intelligence  (JE08000Z)

Terms in the title (5)： Sm ,  Bayesモデル ,  学生 ,  学業成績 ,  予測