{"title":"Application of Data Mining in Higher Secondary Directorate of Kerala","authors":"S. Mathew, John T. Abraham","doi":"10.1109/SAPIENCE.2016.7684139","DOIUrl":null,"url":null,"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.","PeriodicalId":340137,"journal":{"name":"2016 International Conference on Data Mining and Advanced Computing (SAPIENCE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Data Mining and Advanced Computing (SAPIENCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAPIENCE.2016.7684139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.