Sai Sujith Mangalapalli, Sai Venkata Pavan Kumar Munnangi, Mallikharjuna Abhiram Mulpuri, Sahithi Snigdha Reddy Goguladinne, Subrahmanyam Kodukula, Satish Thatavarthi
{"title":"Data Mining in Education: A Review of Current Practices","authors":"Sai Sujith Mangalapalli, Sai Venkata Pavan Kumar Munnangi, Mallikharjuna Abhiram Mulpuri, Sahithi Snigdha Reddy Goguladinne, Subrahmanyam Kodukula, Satish Thatavarthi","doi":"10.1109/ICAIS56108.2023.10073932","DOIUrl":null,"url":null,"abstract":"A significant amount of data is physically kept on hard drives or virtually stored in the cloud in the real world. Data is retained for a variety of purposes, such as learning, accessing, understanding, and so forth. Large amounts of data must be stored using an excellent infrastructure, which is quite expensive. Data mining tools were made available to help with this issue. Numerous industries, including healthcare, education, business, forensics, and law enforcement, use data mining techniques. This article surveys the significance of data mining techniques in the context of education. In addition to, the concurrent approaches are examined..","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIS56108.2023.10073932","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A significant amount of data is physically kept on hard drives or virtually stored in the cloud in the real world. Data is retained for a variety of purposes, such as learning, accessing, understanding, and so forth. Large amounts of data must be stored using an excellent infrastructure, which is quite expensive. Data mining tools were made available to help with this issue. Numerous industries, including healthcare, education, business, forensics, and law enforcement, use data mining techniques. This article surveys the significance of data mining techniques in the context of education. In addition to, the concurrent approaches are examined..