Year: 2017
Type: article
Abstract: Education mining is process of analyzing data from different perspectives & summarizing it into educational information.Information that could be used to increase revenue, cut costs, or both.In data mining each & everything becomes intelligent & perform task as human.For that purpose there are various tools, techniques & methods are proposed.Support vector machine is a model for statistics & computer science, to perform supervised learning, methods that are used to make analysis of data & recognize patterns.SVM is mostly used for classification & regression analysis.In same way k-nearest neighbor algorithm is a classification algorithm used to classify data using training examples.In this paper we have reviewed use different classification algorithm in field of education to classify & predict student data.Here we use educational nominal data to classify & discover data pattern to predict future courses, Uses to education mining which is use to classify text analysis in future.
Author: Raj Kumar
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W2581077212