EAN: 9783662485361

SPATIAL DATA MINING - DEREN LI SHULIANG WANG DE...

· 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'.

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