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Verlag: Auerbach, 2010
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Paperback. Zustand: As New. Reprint. International edition Contents Preface. I. Techniques of data mining 1. An approach to analyzing and modeling systems for real time decisions/John C. Brocklebank Tom Lehman Tom Grant Rich Burgess Lokesh Nagar Himadri Mukherjee Juee Dadhich and Pias Chaklanobish. 2. Ensemble st 310 pp.
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Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2013
ISBN 10: 1461476682 ISBN 13: 9781461476689
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Sprache: Englisch
Verlag: Springer New York, Springer US, 2013
ISBN 10: 1461476682 ISBN 13: 9781461476689
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Taschenbuch. Zustand: Neu. Data Mining for Geoinformatics | Methods and Applications | Guido Cervone (u. a.) | Taschenbuch | xi | Englisch | 2015 | Humana | EAN 9781489985743 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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In den WarenkorbZustand: New. pp. 308 Illus.
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Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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.
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In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 291 pages. 9.10x6.10x0.60 inches. In Stock.
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In den WarenkorbZustand: New. pp. 450.
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In den WarenkorbZustand: New. This book provides a general end-to-end discussion concerning the process of translating raw data to scientific and business decisions. The reader's ability to find patterns in data will be greatly enhanced due to the book's combination of statistical learning with powerful visualization techniques. Num Pages: 308 pages, Illustrations. BIC Classification: UNF. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 233 x 158 x 17. Weight in Grams: 418. . 2009. 1st Edition. paperback. . . . . Books ship from the US and Ireland.