Pure Data

Authors: Li, Deren, Wang, Shuliang, Li, Deyi
Presents up-to-date work on core theories and applications of spatial data mining, combining the principles of data mining and geospatial information science
Proposes data fields, cloud model, and mining views methods, and presents empirical applications in the context of GIS and remote sensing

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.

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