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The acquired sensor signals were divided in to 5, 10 and 15 s interval house windows to generate three different data units and 112 features had been defined from the natural information. To obtain more effective function subsets, these features were placed by making use of Gain Ratio feature choice algorithm. Afterward, composing behaviors had been categorized by C4.5 Decision Trees, Bayesian Networks and k-Nearest Neighbor techniques. Because of the experiments, 74.26%, 67.86%, and 87.56% accuracy classificatio