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| Title | : | Performance Comparison between Naive Bayes, Decision Tree and k-Nearest Neighbour in Searching Alternative Design in an Energy Simulation Tool |
| Author | : |
Prof. Dr. Techn. Ahmad Ashari, M.I.Kom. (1) Iman Paryudi (2) A Min Tjoa (3) |
| Date | : | 0 2013 |
| Keyword | : | energy simulation tool; classification method; naïve bayes; decision tree; k-nearest neighbor energy simulation tool; classification method; naïve bayes; decision tree; k-nearest neighbor |
| 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 experiments hows 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. |
| Group of Knowledge | : | Ilmu Komputer |
| Original Language | : | English |
| Level | : | Internasional |
| Status | : |
Published
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| No | Title | Action |
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| 1 |
16IJACSA_Volume4No11-November2013-fullpaper.pdf
Document Type : [PAK] Full Dokumen
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| 2 |
Performance Comparison between Naive Bayes, Decision Tree and k-Nearest Neighbour in Searching Alternative Design in an Energy Simulation Tool.pdf
Document Type : [PAK] Cek Similarity
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View |
| 3 |
BK Performance Comparison between Naive Bayes.pdf
Document Type : [PAK] Bukti Korespondensi Penulis
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