Spatial and spatiotemporal data mining Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

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.

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