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 63
- Downloads 0
Real Time Tracking System using GPS
Public transportation is highly cost effective and environmental friendly solution for commuters. But the unreliability of the system because of lack of communication often prevents its widespread use. This paper describ...
Cloud Learning For Virtual Campus
Taking in mind the growing Cloud Computing technology in every field including education and it’s becoming an adoptable technology for many of the organizations with its dynamic scalability and usage of virtualized resou...
Novel Arrangement of Boost Converters for Conduction Modes
Position control of motors is widely used in many aspects of life, including commercial, household, and industrial settings. More than seventy percent of electrical demand is projected to be motor load. The motors in thi...
Permeability Behavior of Sand-Kaolin Mixtures through Laboratory Tests
Permeability or Hydraulic conductivity of soil is basic property of soil that needs to be taken into consideration when planning a Civil engineering project. In most of the Civil engineering projects a low permeable soil...
Big Data Analytics: Challenges, Tools
The big data have various challenges like heterogeneity, scale, timeliness, complexity, privacy problem. This paper addresses these challenges. As Data is being collected at huge amount of scale, in a broad range of appl...