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Attribute selection for environmental science problems

Name: Attribute selection for environmental science problems
Brand: VDM Verlag
SKU: 06831403
Price: 83.09 EUR
Availability: InStock
Author: Kyoko Fukuda
ISBN: 9783639237146

Kyoko Fukuda

Language

English

Book Paperback

Libristo code: 06831403

Publishers VDM Verlag, March 2010

Over the past few years, many data mining techniques have been developed, but encouraging the use of... Full description

Libristo code: 06831403

203 b

83.09 € VAT included

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Over the past few years, many data mining techniques have been developed, but encouraging the use of uncommonly known algorithms is equally important. This book represents the PhD thesis written by the author and has three fundamental aims; 1) to develop a flexibly applicable new attribute selection method, Tree Node Selection (TNS), 2) to introduce the use of theoretical or uncommonly used computer algorithms, the K-Maximum Subarray Algorithm and Ant-Miner, and the unique advanced statistical and mathematical method, Singular Spectrum Analysis, as a data pre-processing method for C4.5 algorithm, and 3) to encourage environmental scientists to use these methods. The methods were tested with benchmark data and various environmental science problems: sea container contamination, the Weed Risk Assessment model and weed spatial analysis for New Zealand Biosecurity, air pollution, climate and health, and defoliation imagery. The analyses and methodologies that are introduced in this book will be useful for students and professionals to investigate many other environmental science problems to help improve the policy and management processes.