Knowledge Commons of Institute of Automation,CAS
Data Augmentation and Deep Neuro-fuzzy Network for Student Performance Prediction with MapReduce Framework | |
Amlan Jyoti Baruah1; Siddhartha Baruah2 | |
发表期刊 | International Journal of Automation and Computing |
ISSN | 1476-8186 |
2021 | |
卷号 | 18期号:6页码:981-992 |
摘要 | The main aim of an educational institute is to offer high-quality education to students. The system to achieve better quality in the educational system is to find the knowledge from educational data and to discover the attributes that manipulate the performance of students. Student performance prediction is a major issue in education and training, specifically in the educational data mining system. This research presents the student performance prediction approach with the MapReduce framework based on the proposed fractional competitive multi-verse optimization-based deep neuro-fuzzy network. The proposed fractional competitive multi-verse optimization-based deep neuro-fuzzy network is derived by integrating fractional calculus with competitive multi-verse optimization. The MapReduce framework is designed with the mapper and the reducer phase to perform the student performance prediction mechanism with the deep learning classifier. The input data is partitioned at the mapper phase to perform the data transformation process, and thereby the features are selected using the distance measure. The selected unique features are employed for the data segmentation process, and thereafter the prediction strategy is accomplished at the reducer phase by the deep neuro-fuzzy network classifier. The proposed method obtained the performance in terms of mean square error, root mean square error and mean absolute error with the values of 0.338 3, 0.581 7, and 0.391 5, respectively. |
关键词 | Educational data mining (EDA) MapReduce framework deep neuro-fuzzy network student performance data augmentation |
DOI | 10.1007/s11633-021-1312-1 |
七大方向——子方向分类 | 其他 |
国重实验室规划方向分类 | 其他 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/46104 |
专题 | 学术期刊_Machine Intelligence Research |
作者单位 | 1.Department of Computer Science and Engineering, Assam Kaziranga University, Jorhat 785006, India 2.Department of Computer Application, Jorhat Engineering College, Jorhat 785007, India |
推荐引用方式 GB/T 7714 | Amlan Jyoti Baruah,Siddhartha Baruah. Data Augmentation and Deep Neuro-fuzzy Network for Student Performance Prediction with MapReduce Framework[J]. International Journal of Automation and Computing,2021,18(6):981-992. |
APA | Amlan Jyoti Baruah,&Siddhartha Baruah.(2021).Data Augmentation and Deep Neuro-fuzzy Network for Student Performance Prediction with MapReduce Framework.International Journal of Automation and Computing,18(6),981-992. |
MLA | Amlan Jyoti Baruah,et al."Data Augmentation and Deep Neuro-fuzzy Network for Student Performance Prediction with MapReduce Framework".International Journal of Automation and Computing 18.6(2021):981-992. |
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IJAC-2021-05-121.pdf(1583KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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