Spatial and Spatiotemporal Data Mining

Spatial and Spatiotemporal Data Mining

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Hardback
$89.95
ISBN 9781439814185
Cat# K10726
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Features

  • Provides a self-contained introduction to spatial data mining, with detailed algorithm descriptions and pseudo code for representative algorithms •
  • Emphasizes the peculiarities of spatial data, compares and contrasts spatial data with general data mining algorithms, and shows how ignoring spatial aspects leads to errors and potentially wrong conclusions
  • Presents ample examples and case studies
  • Focuses on unifying terminology and presenting main concepts in easy and accessible manner for this multi-disciplinary field
  • Includes exercises and project ideas, along with a dedicated website with lecture notes, data, and software for key algorithms, making the book useful as a textbook

Summary

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.

Table of Contents

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

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