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Nateghi, R.; Quiring, S. M.; Guikema, S. D.

Download Berry Linhof Data Mining Techniques Pdf Viewer Free

LINOFF and MICHAEL J. BERRY are the founders of Data Miners, Inc., a consultancy specializing in data mining. They have jointly authored two of the leading data mining titles in the field, Data Mining Techniques and Mastering Data Mining (both from Wiley). Data Mining Techniques By Michael Berry And Gordon Linoff Free Download PDF Document Data mining techniques. Another Files: data mining techniques. Covers a new data mining technique in every chapter along with clear, concise explanations.

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2012-12-01

Data Mining Techniques Pdf

Hurricanes are among the costliest and most destructive natural hazards in the U.S. Accurate hurricaneforecasts are crucial to optimal preparedness and mitigation decisions in the U.S. where 50 percent of the population lives within 50 miles of the coast. We developed a flexible statistical approach to forecast annual number of hurricanes in the Atlantic region during the hurricane season. Our model is based on the method of Random Forest and captures the complex relationship between hurricane activity and climatic conditions through careful variable selection, model testing and validation. We used the National Hurricane Center's Best Track hurricane data from 1949-2011 and sixty-one candidate climate descriptors to develop our model. The model includes information prior to the hurricane season, i.e., from the last three months of the previous year (Oct. through Dec.) and the first five months of the current year (January through May). Our forecast errors are substantially lower than other leading forecasts such as that of the National Oceanic and Atmospheric Administration (NOAA).