Air-combat behavior data mining based on truncation method |
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Authors: | Yunfei Yin Guanghong Gong Liang Han |
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Institution: | 1. College of Computer Science, Chongqing University, Chongqing 400044, P. R. China;School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, P. R. China 2. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, P. R. China |
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Abstract: | This paper considers the problem of applying data mining techniques to aeronautical field. The truncation method, which is one of the techniques in the aeronautical data mining, can be used to efficiently handle the air-combat behavior data. The technique of air-combat behavior data mining based on the truncation method is proposed to discover the air-combat rules or patterns. The simulation platform of the air-combat behavior data mining that supports two fighters is implemented. The simulation experimental results show that the proposed air-combat behavior data mining technique based on the truncation method is feasible whether in efficiency or in effectiveness. |
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Keywords: | air-combat truncation method behavior mining basic fighter maneuvers (BFMs) data mining |
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