The week's pick
Reseach Article
Data Mining: Analysis of student database using Classification Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 141 - Number 8 |
| Year of Publication: 2016 |
| Authors: K. Sumathi, S. Kannan, K. Nagarajan |
10.5120/ijca2016909703
|
K. Sumathi, S. Kannan, K. Nagarajan . Data Mining: Analysis of student database using Classification Techniques. International Journal of Computer Applications. 141, 8 ( May 2016), 22-27. DOI=10.5120/ijca2016909703
Abstract
Data Analysis can be categorized into two forms. One is used for extracting models describing important classes; another is to predict future trends. Data classification can be used to generate models which are further used to predict the unknown classes. The accuracy of the models can be examined by checking the percentage of correctly classified instance. Lot of classification algorithms is available nowadays. One of the most commonly used algorithms is decision tree because of its simplicity of implementation and easier to understand when compared to other classification algorithms. J48 is the one of the effective classification method. In this paper, J48 algorithm is applied for analyzing student dataset which includes academic year, department, academic grade and job position
References
- Jasser, Muhammed Basheer, et al. "Mining Students’ Characteristics and Effects on University Preference Choice: A Case Study of Applied Marketing in Higher Education." International Journal of Computer Applications 67.21 (2013): 1-5.
- Bassil, Youssef. "A Data Warehouse Design for A Typical University Information System." arXiv preprint arXiv:1212.2071 (2012).
- Giordana.A and neri.F,(1995) “Search intensive concept induction Evolutionary computations”, 3(4) 375-416, Doi10.1162/evco.1995.3.4.375
- Yu, Chong Ho, et al. "A data mining approach for identifying predictors of student retention from sophomore to junior year." Journal of Data Science 8.2 (2010): 307-325.
- Ahmed, Abeer Badr El Din, and Ibrahim Sayed Elaraby. "Data Mining: A prediction for Student's Performance UsingClassification Method." World Journal of Computer Application and Technology 2.2 (2014): 43-47.
- Tariq O. Fadl Elsid, Mirghani. A. Eltahir “Data Mining: Classification Techniques of Students’ Database A Case Study of the Nile Valley University, North Sudan”, International Journal of Computer Trends and Technology (IJCTT) – volume 16 number 5 – Oct 2014
- Jasser, Muhammed Basheer, et al. "Mining Students’ Characteristics and Effects on University Preference Choice: A Case Studyof Applied Marketing in Higher Education." International Journal of Computer Applications 67.21 (2013): 1-5.
Index Terms
Keywords