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Spatial Data Mining ― Theory and Application
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Spatial Data Mining ― Theory and Application

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:NT$ 3350 元
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903015
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This book, an updated version of a well-received work previously published in Chinese by Science Press of China (first edition in 2006 and second in 2013), offers a systematic and practical overview of spatial data mining. The first part covers the state of the art, the fundamentals and the mining process as a pyramid of spatial data mining, while the second focuses on the theories and the third part presents sample applications. Spatial data has spatiotemporal specialties: volume, velocity, and variety. To address the special needs of spatial data mining, this book introduces the data field, cloud model, mining views, and “Deren Li” methods. Incorporating physical principles in spatial data mining, the data field method bridges the modeling gap between discovery and recognition under field theory; the cloud model method bridges the transforming gap between quantitative data and qualitative concepts under the atomic model; and the mining views method reconciles different requirements under object anisotropy. Inspired by mathematical statistics, the “Deren Li method” overcomes the preprocessing gap between polluted spatial data by selecting the weight for iteration.

In addition to essential algorithms and techniques, the book provides detailed descriptions of the applications of spatial data mining in geographic information science (GIS) and re

mote sensing. Accordingly, it effectively combines computer science and GIS, allowing each field to profit from the knowledge and techniques of the other and significantly advance research on spatial data mining. 

作者簡介

Deren Li,a scientist in photogrammetry and remote sensing, is the membership of the Chinese Academy of Sciences, membership of the Chinese Academy of Engineering, membership of the Euro-Asia International Academy of Science, Professor and PhD supervisor of Wuhan University, Vice-President of the Chinese Society of Geodesy, Photogrammetry and Cartography, Chairman of the Academic Commission of Wuhan University and the National Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS). He has concentrated on the research and education in spatial information science and technology represented by remote sensing (RS), global positioning system (GPS) and geographic information system (GIS). His majors are the analytic and digital photogrammetry, remote sensing, mathematical morphology and its application in spatial databases, theories of object-oriented GIS and spatial data mining in GIS as well as mobile mapping systems, etc. Prof. Deren Li served as Comm. III and Comm. VI president of ISPRS in 1988-1992 and 1992-1996, worked for CEOS in 2002-2004 and president of Asia GIS Association in 2003-2006. He got Dr.h.c. from ETH in 2008. In 2010 he has been elected ISPRS fellow.

Shuliang Wang, Ph.D., a scientist in data science and software engineering, is a professor in Beijing Institute of Technology in China. His research interests include spatial data mining, and software engineering. For his innovatory stud

y of spatial data mining, he was awarded the Fifth Annual InfoSciO-Journals Excellence in Research Awards of IGI Global, IEEE Outstanding Contribution Award for Granular Computing, and one of China’s National Excellent Doctoral Thesis Prizes.

Deyi LI, PhD, a scientist in computer science and artificial in telligence, is the founder of cloud model. He is now a professor in Tsinghua University in China, a membership of Chinese Academy of Engineering and a membership of the Euro-Asia International Academy of Science. His research interests include networked data mining, artificial intelligence with uncertainty, cloud computing, and cognitive physics. For his contribution, he was awarded many international and national prizes or awards, e.g. the Premium Award by IEE Headquarters, the IFAC World Congress Outstanding Paper Award, National Science and Technology Progress Award and so on.

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