Multivariate data analysis of teaching assistant using classification algorithms

Abstract

Data mining is a versatile field of computer science Data mining is applied in the areas of machine learning statistics artificial intelligence and databases Data mining is the process of automation to searching large stores of data it discovers the patterns and trends from large data sets The data mining consists of two types of modelling predictive modelling and descriptive modelling In predictive modelling target field of the data set is known whereas in descriptive modelling target field of the data set is not known Educational data mining is an emerging discipline concerned with evolving methods for exploring the exclusive and increasing large scale data It originates from educational setting and using those approaches to well comprehended students and the settings which they study in In the year 2009 educational researchers introduced an academic Journal of Educational Data Mining for contributing and propagating research results In this research work Teaching Assistant Evaluation TAE data set is used newline