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Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing

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Data Mining for Geoinformatics - Methods and Applications (Hardcover, 2014 ed.) Loot Price: R2,269
Discovery Miles 22 690
Data Mining for Geoinformatics - Methods and Applications (Hardcover, 2014 ed.): Guido Cervone, Jessica Lin, Nigel Waters
Data Mining for Geoinformatics - Methods and Applications (Hardcover, 2014 ed.): Guido Cervone, Jessica Lin, Nigel Waters

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Data Mining for Geoinformatics - Methods and Applications (Hardcover, 2014 ed.)

Guido Cervone, Jessica Lin, Nigel Waters

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Loot Price R2,269 Discovery Miles 22 690 | Repayment Terms: R211 pm x 12*

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The rate at which geospatial data is being generated exceeds our computational capabilities to extract patterns for the understanding of a dynamically changing world. Geoinformatics and data mining focuses on the development and implementation of computational algorithms to solve these problems. This unique volume contains a collection of chapters on state-of-the-art data mining techniques applied to geoinformatic problems of high complexity and important societal value. Data Mining for Geoinformatics addresses current concerns and developments relating to spatio-temporal data mining issues in remotely-sensed data, problems in meteorological data such as tornado formation, estimation of radiation from the Fukushima nuclear power plant, simulations of traffic data using OpenStreetMap, real time traffic applications of data stream mining, visual analytics of traffic and weather data and the exploratory visualization of collective, mobile objects such as the flocking behavior of wild chickens. This book is designed for researchers and advanced-level students focused on computer science, earth science and geography as a reference or secondary text book. Practitioners working in the areas of data mining and geoscience will also find this book to be a valuable reference.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Release date: August 2013
First published: 2014
Editors: Guido Cervone • Jessica Lin • Nigel Waters
Dimensions: 235 x 155 x 16mm (L x W x T)
Format: Hardcover
Pages: 166
Edition: 2014 ed.
ISBN-13: 978-1-4614-7668-9
Barcode: 9781461476689
Categories: Books > Computing & IT > Applications of computing > Databases > Data mining
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Books > Earth & environment > Earth sciences
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Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS)
Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
LSN: 1-4614-7668-2

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