Spatial Data Mining

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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 Explores spatiotemporal video data mining for protecting public security, and discerns the brightness of night time light images for evaluating the severity of the Syrian Crisis Honored as a milestone of spatial data mining in the book review of Science Bulletin, and won the Fifth Chinese Excellent Publications Award (Books) for the Chinese edition Includes supplementary material: sn.pub/extras

Autorentext
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, PhD, 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 study of spatial data mining, he was awarded the Fifth Annual InfoSci-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 intelligence, 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.









Inhalt
Introduction.- Principles of spatial data mining.- Data source of SDM1.- Spatial Data Cleaning2.- Usable Methods and Techniques in SDM2.- Data field21.- Cloud Model21.- GIS Data Mining2.- Remote Sensing Image Data Mining23.- Spatial data mining system.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783662485361
    • Genre Information Technology
    • Auflage 1st edition 2015
    • Lesemotiv Verstehen
    • Anzahl Seiten 336
    • Größe H241mm x B160mm x T24mm
    • Jahr 2016
    • EAN 9783662485361
    • Format Fester Einband
    • ISBN 3662485362
    • Veröffentlichung 05.04.2016
    • Titel Spatial Data Mining
    • Autor Deren Li , Deyi Li , Shuliang Wang
    • Untertitel Theory and Application
    • Gewicht 670g
    • Herausgeber Springer Berlin Heidelberg
    • Sprache Englisch

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