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Article:A Generalized Data mining Framework for Placement Chance Prediction Problems
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 31 - Number 3 |
| Year of Publication: 2011 |
| Authors: Sudheep Elayidom, Sumam Mary Idikkula, Joseph Alexander |
10.5120/3807-5257
|
Sudheep Elayidom, Sumam Mary Idikkula, Joseph Alexander . Article:A Generalized Data mining Framework for Placement Chance Prediction Problems. International Journal of Computer Applications. 31, 3 ( October 2011), 40-47. DOI=10.5120/3807-5257
Abstract
Data Mining is such a promising technology whose worth becomes evident when it can be applied to a domain where a common man is benefited. This paper is an attempt to help the prospective students to make wise career decisions using technologies like data mining using decision trees, Naïve Bayes and artificial neural networks. A student enters his Entrance Rank, Gender (M/F), Sector (rural/urban) and Reservation category. Based on the entered information the Network or the decision tree will return which branch of study is Excellent, Good, Average or poor for him/her. Also in this paper we compare the performance of the models on the same data and propose a generalized data mining framework for problems of similar nature.
References
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