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Student Performance Analysis with MapReduce by BHAKTI YOGA is a document available to read on EtoBox.
What is Student Performance Analysis with MapReduce about?
This document discusses analyzing student performance using classification and MapReduce approaches in big data. It proposes using clustering algorithms like k-means to categorize students by their marks. Multiple linear regression algorithms will be used to build a predictive model for student performance, which will be implemented using MapReduce on MongoDB. The model will map student data and reduce it to predict performance and help teachers and students. It reviews several related works analyzing educa
- Author
- BHAKTI YOGA
- Language
- EN