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A Generalized Data mining Framework for Placement Chance Prediction Problems

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Author(s): Jyoti Vashishtha | Sumam Mary Idikkula | Joseph Alexander

Journal: International Journal of Computer Applications
ISSN 0975-8887

Volume: 31;
Issue: 3;
Start page: 40;
Date: 2011;
Original page

Keywords: Confusion matrix | Data mining | Decision trees | neural networks | Placement chance prediction

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, Naive 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.
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