Editor/Reviewer login
Frequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
Home Archives Volume 5 Issue 4 ijcatr05041007

IJCATR Volume 5 Issue 4

A Review on Classification and Prediction Based Data Mining to Predict Slow Learners in Senior Secondary Schools

Sohajbir Singh Ubha Gaganpreet Kaur Bhalla
10.7753/IJCATR0504.1007
keywords : KDD (Knowledge Discovery in Database), J48 Algorithm, Naïve Bayesian Classifier, WEKA data mining tool.

PDF
One of the biggest challenges that higher education faces today is predicting the paths of students. Institutions would like to know, for example, which students will enrol in which course, and which students will need assistance in particular subject. The new interesting subject that is being offered by institution to interact more students. How management get better information about student, their result, about the success of new offered courses, the answer is data mining .it helps to institution to take decision .data mining is the better tool to predict the result of the student. In this paper, I will discuss about data mining their different phases, advantages of data mining in the field of academics, some results and tools used for data mining and their applications.
@artical{s542016ijcatr05041007,
Title = "A Review on Classification and Prediction Based Data Mining to Predict Slow Learners in Senior Secondary Schools",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "5",
Issue ="4",
Pages ="215 - 217",
Year = "2016",
Authors ="Sohajbir Singh Ubha Gaganpreet Kaur Bhalla"}
  • This is a review paper highlighted on Data Mining.
  • Paper focuses on use of Data Mining in Schools.
  • Paper demonstrates use of Data mining for improvement of results in school.
  • The different tools used for Data Mining.
Copyright © 2012-2024 International Journal of Computer Applications Technology and Research All Rights Reserved.