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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Performance Comparison between Naïve Bayes, Decision Tree and k-Nearest Neighbor in Searching Alternative Design in an Energy Simulation Tool

Author 1: Ahmad Ashari
Author 2: Iman Paryudi
Author 3: A Min Tjoa

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2013.041105

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 11, 2013.

  • Abstract and Keywords
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Abstract: Energy simulation tool is a tool to simulate energy use by a building prior to the erection of the building. Commonly it has a feature providing alternative designs that are better than the user’s design. In this paper, we propose a novel method in searching alternative design that is by using classification method. The classifiers we use are Naïve Bayes, Decision Tree, and k-Nearest Neighbor. Our experiment shows that Decision Tree has the fastest classification time followed by Naïve Bayes and k-Nearest Neighbor. The differences between classification time of Decision Tree and Naïve Bayes also between Naïve Bayes and k-NN are about an order of magnitude. Based on Percision, Recall, F-measure, Accuracy, and AUC, the performance of Naïve Bayes is the best. It outperforms Decision Tree and k-Nearest Neighbor on all parameters but precision.

Keywords: energy simulation tool; classification method; naïve bayes; decision tree; k-nearest neighbor

Ahmad Ashari, Iman Paryudi and A Min Tjoa, “Performance Comparison between Naïve Bayes, Decision Tree and k-Nearest Neighbor in Searching Alternative Design in an Energy Simulation Tool” International Journal of Advanced Computer Science and Applications(IJACSA), 4(11), 2013. http://dx.doi.org/10.14569/IJACSA.2013.041105

@article{Ashari2013,
title = {Performance Comparison between Naïve Bayes, Decision Tree and k-Nearest Neighbor in Searching Alternative Design in an Energy Simulation Tool},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.041105},
url = {http://dx.doi.org/10.14569/IJACSA.2013.041105},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {11},
author = {Ahmad Ashari and Iman Paryudi and A Min Tjoa}
}


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