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Accurately learned air quality of second-hand housing is very important for home buyer. In order to provide home buyer with a simple and novel approach to get air quality of second-hand housing, this paper firstly presents air quality of second-hand housing forecast method using random forest that is one of the data mining algorithm. According to hedonic price theory, by training the random forest...
As the economic globalization is growing more mature, the three main management systems of quality, environment and occupational safety and health have already been a standard mode in which enterprises carry on the internationalization management. However, it shall help to reduce the repetitive managements, greatly promote the efficiency of standardization management, easily implement the networking...
Nowdays, IDS (Intrusion Detection System) is a hot topic in the information security. The main function of IDS is distinguishing and predicting normal or abnormal behaviors. This paper is to propose a model used on IDS, it is based on rough set (RS) theory and fuzzy support vector machine (FSVM). Firstly, the model set rough set as a preprocessor of FSVM. Rough set can reduce dimensions of attributes...
The progress in experimental and computational structural biology has led to a rapid growth of experimentally resolved structures and computational models of protein-protein interactions. However, distinguishing between the physiological and non-physiological interactions remains a challenging problem. In this work, two related problems of interface classification have been addressed. The first problem...
This paper presents a DEA-MARS two-stage nonparametric model. It measures the distribution of the efficiency of the Information Technology (IT) investment in the equipment manufacturing industry and identifies the key factors that influence the efficiency of the IT investment. The measurement shows that there is comparatively large difference in the investment efficiency. The empirical research indicates...
Effective dynamic scheduling is an essential element in the process of intelligent road construction. The primary goal of this paper is to outline a two stage framework of dynamic scheduling for construction using layered fuzzy inference and radial basis function (RBF) neural network. The layered fuzzy inference presents an initial model which embeds the experts' knowledge by Zadah fuzzy theory and...
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