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EBOOK
Author Li, Deren, 1939-
Title Spatial data mining : theory and application / Deren Li, Shuliang Wang, Deyi Li.
Imprint Berlin : Springer, 2015.

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Author Li, Deren, 1939-
Subject Data mining.
Geospatial data.
Alt Name Wang, Shuliang, 1974-
Li, Deyi, 1944-
Description 1 online resource (xxviii, 308 pages) : illustrations (some color)
polychrome rdacc
Note "Translation from the Chinese language second edition by Deren Li, Shuliang Wang, Deyi Li, Science Press 2013."
Bibliography Note Includes bibliographical references.
Summary This book is an updated version of a well-received book previously published in Chinese by Science Press of China (the first edition in 2006 and the second in 2013). It offers a systematic and practical overview of spatial data mining, which combines computer science and geo-spatial information science, allowing each field to profit from the knowledge and techniques of the other. To address the spatiotemporal specialties of spatial data, the authors introduce the key concepts and algorithms of the data field, cloud model, mining view, and Deren Li methods. The data field method captures the interactions between spatial objects by diffusing the data contribution from a universe of samples to a universe of population, thereby bridging the gap between the data model and the recognition model. The cloud model is a qualitative method that utilizes quantitative numerical characters to bridge the gap between pure data and linguistic concepts. The mining view method discriminates the different requirements by using scale, hierarchy, and granularity in order to uncover the anisotropy of spatial data mining. The Deren Li method performs data preprocessing to prepare it for further knowledge discovery by selecting a weight for iteration in order to clean the observed spatial data as much as possible. In addition to the essential algorithms and techniques, the book provides application examples of spatial data mining in geographic information science and remote sensing. The practical projects include spatiotemporal video data mining for protecting public security, serial image mining on nighttime lights for assessing the severity of the Syrian Crisis, and the applications in the government project 'the Belt and Road Initiatives'. p>.
Note English.
Online resource; title from PDF title page (SpringerLink, viewed March 30, 2016).
ISBN 9783662485385 (electronic bk.)
3662485389 (electronic bk.)
3662485362 (print)
9783662485361 (print)
9783662485361 (print)
ISBN/ISSN 10.1007/978-3-662-48538-5
OCLC # 945692559
Additional Format Printed edition: 9783662485361


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