Application of Data Mining in Higher Secondary Directorate of Kerala

S. Mathew, John T. Abraham
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引用次数: 1

Abstract

In this paper, we discuss Data Mining and its application in Higher Secondary Directorate of Kerala. Data Mining process has a set of functionalities among which classification has wide application in real world data processing. We examine the Naïve Bayes classification techniques. In the third section, we explain Naïve Bayes Theorem using an experiment. This experiment covers attributes like School Type, Candidate Type, Study Type, Districts, etc. These attribute values, we are using to analysing the result of Higher Secondary First Year Improvement Examination held in September 2015. This will improve the performance and data processing speed of Higher Education Directorate. This paper demonstrates the application of Data Mining in Higher Secondary Examination result. This will help further research and will improvise the activity of Higher Secondary Directorate.
数据挖掘在喀拉拉邦高等中学理事会的应用
本文讨论了数据挖掘及其在喀拉拉邦高等中学的应用。数据挖掘过程具有一系列功能,其中分类在实际数据处理中有着广泛的应用。我们检查Naïve贝叶斯分类技术。在第三节中,我们用一个实验来解释Naïve贝叶斯定理。这个实验涵盖了学校类型、候选人类型、学习类型、地区等属性。我们使用这些属性值来分析2015年9月举行的高中一年级改进考试的结果。这将提高高等教育理事会的绩效和数据处理速度。本文论述了数据挖掘在高中考试成绩中的应用。这将有助于进一步的研究,并将即兴发挥高等中学理事会的活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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