Analyzing Student’s Academic Performance Based on Data Mining Approach
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2017, Vol 5, Issue 1
Abstract
Career building is the most cherished part of every engineering student. For an engineering graduate it is necessary to have immense knowledge in their domain to get placed in a reputed company. Data Mining is used to gain knowledge, find the hidden information and also this system applies data mining techniques to the academic dataset. The Academic data includes the Internal (CCET 1, CCET2 and CCET3) marks and the Assignment marks. The final semester marks are predicted from the analyzed result of each student. In order to increase the accuracy, this system introduces reweight enhanced boosting algorithm.
Authors and Affiliations
Kalaivani. S, Priyadharshini. B, Selva Nalini
Keywords
Related Articles
- EP ID EP748492
- DOI 10.21276/ijircst.2017.5.1.4
- Views 55
- Downloads 0
Resource Allocation Using Oracle Primavera P6
Companies are currently involved in projects that are crucial to their performance as a result of market globalization and internationalization, which has increased competitive demands on businesses. These projects must...
Understanding Leadership Values Among Under Graduate Students in UITM: Their Values, Beliefs, and Motivation
UITM has prominently produced a numbers of leaders in Malaysia’s society. If you want to understand the direction of this nation, we must examine the people who will lead the country for the next decades. Where do you fi...
Movie Recommendation System Using Item Based Collaborative Filtering
In today's digital world where there is an endless variety of content consumed such as books, videos, articles, Films, etc., finding material of one's choice has become an infallible task. Digital content on the other ha...
Finding Accuracy in Feature Selection Using Firefly Algorithm with Rough Set theory
Feature selection techniques play a vital role in bioinformatics applications. In addition to the large group of techniques that have already been developed in the machine learning and data mining fields, specific applic...
Performance Enhancement of an Integrated Offshore Wind Farm, Marine Current Farm and PV System with Flywheel Energy Storage System
This paper represents a control strategy to instantaneously realize mitigation in power fluctuation and performance enhancement of offshore wind farm (OWF), PV system and Marine current farm (MCF) coupled to the grid wit...