<p>Β·Β Β Β Β Β Β Β Β 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 info
Spatial Data Mining: Theory and Application
β Scribed by Deren Li, Shuliang Wang, Deyi Li
- Publisher
- Springer
- Year
- 2016
- Tongue
- English
- Leaves
- 329
- Edition
- 1st ed. 2015
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
Intelligence & Semantics;AI & Machine Learning;Computer Science;Computers & Technology;Data Mining;Databases & Big Data;Computers & Technology;GIS;Graphics & Multimedia;Programming;Computers & Technology;Remote Sensing & GIS;Computer Modelling;Engineering;Engineering & Transportation;Information Systems;Geography;Earth Sciences;Science & Math;Artificial Intelligence;Computer Science;New, Used & Rental Textbooks;Specialty Boutique;Database Storage & Design;Computer Science;New, Used & Rental Text
π SIMILAR VOLUMES
<p><p>Β· 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 informat
<p><p>Β· 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 informat
Springer, 2016. β 308 p. β ISBN: 3662485362, 9783662485361<div class="bb-sep"></div>Presents up-to-date work on core theories and applications of spatial data mining, combining the principles of data mining and geospatial information science<br/>Proposes data fields, cloud model, and mining views me
<P>This volume provides a snapshot of the current state of the art in data mining, presenting it both in terms of technical developments and industrial applications. The collection of chapters is based on works presented at the Australasian Data Mining conferences and industrial forums. </P><P>Autho