Analysis and Prediction of Student Data Using Data Science: A Review

Autor: Sandeep S. Ganorkar, Varsha Namdeo, Nandita Tiwari
Rok vydání: 2020
Předmět:
Zdroj: Smart Trends in Computing and Communications: Proceedings of SmartCom 2020 ISBN: 9789811552236
DOI: 10.1007/978-981-15-5224-3_44
Popis: Development of algorithm and inferring the data is now the integral part of the data science, used for analyzing and predicting the result of the large form of database using data mining techniques. Clustering and visualization are the key process for cleaning the improper data set and using algorithm, useful parameters from the available students’ data can be identified. The present paper reviews the work done by various researchers on analysis and prediction of students’ data for identifying important attributes.
Databáze: OpenAIRE