Orders > Conference proceedings > Software, knowledge, information management and applications (SKIMA 2013)
Proceedings of the International Conference on
Software, Knowledge, Information Management and Applications (SKIMA 2013)
Advanced Technology Solutions and Applications in Higher Education and Enterprises |
(from Chapter 6: Classification Algorithms and Applications)
| Full Citation and Abstract
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Title: |
Boost up the performance of naïve Bayesian classifier: using the relevant discriminating attributes |
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Author(s): |
Novia Nurain, Rafiul Sabbir, Md. Shahab Uddin, Chowdhury Mofizur Rahman |
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Address: |
Department of Computer Science and Engineering, United International University, Dhaka-1209, Bangladesh
novia @ cse.uiu.ac.bd, iamrafiul @ gmail.com, tausiq19 @ gmail.com, cmr @ cse.uiu.ac.bd |
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Reference: |
SKIMA 2013 Proceedings pp. 281 - 291 |
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Abstract/
Summary |
This paper introduces an incremental approach to boost up the performance of traditional Naïve Bayesian classifier using only the relevant discriminating attributes. Our proposed incremental modified Naïve Bayesian classifier (IMNBC) performs better than the traditional Naïve Bayesian classifier on all the domain, on which we performed the experiments. Besides, the IMNBC also can eliminate more than half of the original attributes. Moreover, the algorithm typically learns faster, even with fewer training examples to reach high accuracy. |
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