Title :
A New Data Mining Model for Forest-Fire Cellular Automata
Author :
Gu, Pingping ; Zheng, Yuhui
Author_Institution :
Comput. Sci. Dept., Tan Kah Kee Coll. Xiamen Univ., Zhangzhou, China
Abstract :
In this paper, we do research on principle and application of Cellular Automata (CA), and then design a model of data mining for forest-fire CA based on Fuzzy KModes. In our experiment we focus on the data set generated by forest-fire CA and the results prove that we have detected some valuable essential rule about fire happening and forest growth. Further, we point out that our model is useful for those applications using CA as simulator.
Keywords :
cellular automata; data mining; fires; forestry; CA; data mining model; fire happening; forest growth; forest-fire cellular automata; fuzzy kmodes; Automata; Computational modeling; Data mining; Data models; Educational institutions; Fires; Vegetation; Cellular Automata; Clustering; Forest-Fire Science; Fuzzy K-Modes;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2012 Fifth International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-1-4673-0470-2
DOI :
10.1109/ICICTA.2012.16
