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The book is about application of data mining techniques for environmental economics data. The data mining techniques involved are Group Method of Data Handling (GMDH), the weighted least square (WLS), step-wise regression, and classification-based association rules. The data for applying those techniques were from World Development Indicator 2003 (WDI 2003), and from www.nationamaster.com. The result from www.nationmaster.com were as follows: that the corruption index was strongly related to the urban SO2 concentration. The corruption index along with NOx emission has a big contribution to the debt of the home country.