Spatial and Spatiotemporal Data Mining
Chapman & Hall/CRC (Publisher)
Published on 22. June 2021
Book
Hardback
300 pages
978-1-4398-1418-5 (ISBN)
Description
A collaborative effort between a leading academician who has laid foundation to the spatial data mining and a research scientist from a prestigious national laboratory who has over a decade of interdisciplinary research experience, this book covers not only concepts and algorithms, but also includes appropriate examples and exercises suitable for classroom teaching. Although an edited book with chapters written by eminent scholars or experts, the editors have carefully kept the flavor of a textbook. It covers the breadth and depth of the field, including theory and practice, with ample examples and exercises.
More details
Series
Language
English
Place of publication
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Computer scientists working with data mining; geographic information scientists, remote sensing specialists, earth system scientists, transportation analysts, social and economic, scientists, geodemographic analysts.
Illustrations
100 s/w Abbildungen
100 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-4398-1418-5 (9781439814185)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
Editor
University of Minnesota, Minneapolis, USA
Oak Ridge National Laboratory, Tennessee, USA
Content
Fundamental Concepts. Introduction. Spatial Concepts. Core Topics. Clustering. Classification. Prediction. Association Rules. Outliers. Multi-source Data Mining.
Trends and Applications. Spatio-temporal Data Mining. Applications. Afterword. Acknowledgments.
Trends and Applications. Spatio-temporal Data Mining. Applications. Afterword. Acknowledgments.