Attribute selection for environmental science problems

Name: Attribute selection for environmental science problems
Brand: VDM Verlag
SKU: 9783639237146
Price: 1875 CZK
Availability: InStock

Autor: Kyoko Fukuda

Jazyk:

Vazba: Brožovaná

Vydavatel: VDM Verlag

Dostupnost: U nakladatele na objednávku

Odesíláme za 17-27 dnů

1 875 Kč

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

Informace o knize

Autor

Kyoko Fukuda

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2010

Stránek

212

EAN

9783639237146

ISBN

3639237145

Enbook ID

06831403

Vydavatel

VDM Verlag

Hmotnost

318

Rozměry

152 x 229 x 12

Kompletní popis

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.

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Attribute selection for environmental science problems

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