Evaluate Performance of student by using Normalized data set, Fuzzy and A-priori Like Algorithm

Ruchi Katare, Dheresh Soni
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引用次数: 1

Abstract

The role of smart and talented tutoring system have necessary role in today scenario where every student wants to learn and calculate their subject performance through newly invented proposed system similar as smart and talented tutoring system, whereas less chance of error in comparison of human being. In this system student can check his exam performance through the test of his desired subjects calculate his performance after giving the test. This system has great importance for poor students because they give their test once again after watching some intelligent video and tutorials by these poor students can easily improve their performance. This new concept which is not provided in base paper. Newly invented proposed system using (DM) data mining algorithm with the concept of Fuzzy system (DMFS) to improve the percentage of the result in comparison of previous algorithm by 9%. These concept shows that proposed methodology similar as smart and talented tutoring system is very effective, powerful and efficient in comparison of existing system.
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采用归一化数据集、模糊算法和类先验算法对学生进行评价
智能辅导系统的作用在今天的场景中具有必要的作用,每个学生都想通过类似于智能辅导系统的新发明的系统来学习和计算他们的学科成绩,而与人类相比,错误的可能性更小。在这个系统中,学生可以通过自己想要的科目的考试来检查自己的考试成绩,并在考试后计算自己的成绩。这个系统对贫困学生来说非常重要,因为他们在看了一些智能视频和辅导后再进行测试,可以很容易地提高他们的成绩。这是原纸中没有提供的新概念。新提出的系统采用DM数据挖掘算法,结合模糊系统(DMFS)的概念,与以前的算法相比,结果的百分比提高了9%。这些概念表明,与现有系统相比,所提出的方法是非常有效的、强大的、高效的。
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