R. Raju, N. Kalaiselvi, Aathiqa Sulthana M, D. I., Selvarani A
{"title":"教育数据挖掘:综合研究","authors":"R. Raju, N. Kalaiselvi, Aathiqa Sulthana M, D. I., Selvarani A","doi":"10.1109/ICSCAN49426.2020.9262399","DOIUrl":null,"url":null,"abstract":"Nowadays a huge amount of data is being generated in nook and corner of the world and the educational sector is no such exception. Since the pursuance of education is on growing trend, the data being generated demands to be analyzed. The research on student data analysis involving data mining infused with machine learning technique is rapidly increasing. Data Analysis can be applied to educational data to draw out useful information and to establish important relations among different variables. Educational Data Analysis is used to analyze the student data to predict the student behavior or performance in examination beforehand. This study is based on various machine learning algorithms for educational data Analysis. The main target is to analyze the implementation of various machine learning approaches on educational data used for the purpose of prediction.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"99 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Educational Data Mining: A Comprehensive Study\",\"authors\":\"R. Raju, N. Kalaiselvi, Aathiqa Sulthana M, D. I., Selvarani A\",\"doi\":\"10.1109/ICSCAN49426.2020.9262399\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays a huge amount of data is being generated in nook and corner of the world and the educational sector is no such exception. Since the pursuance of education is on growing trend, the data being generated demands to be analyzed. The research on student data analysis involving data mining infused with machine learning technique is rapidly increasing. Data Analysis can be applied to educational data to draw out useful information and to establish important relations among different variables. Educational Data Analysis is used to analyze the student data to predict the student behavior or performance in examination beforehand. This study is based on various machine learning algorithms for educational data Analysis. The main target is to analyze the implementation of various machine learning approaches on educational data used for the purpose of prediction.\",\"PeriodicalId\":6744,\"journal\":{\"name\":\"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)\",\"volume\":\"99 1\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCAN49426.2020.9262399\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCAN49426.2020.9262399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nowadays a huge amount of data is being generated in nook and corner of the world and the educational sector is no such exception. Since the pursuance of education is on growing trend, the data being generated demands to be analyzed. The research on student data analysis involving data mining infused with machine learning technique is rapidly increasing. Data Analysis can be applied to educational data to draw out useful information and to establish important relations among different variables. Educational Data Analysis is used to analyze the student data to predict the student behavior or performance in examination beforehand. This study is based on various machine learning algorithms for educational data Analysis. The main target is to analyze the implementation of various machine learning approaches on educational data used for the purpose of prediction.