Fr. 95.00

Spatial and Spatiotemporal Data Mining

English · Hardback

Will be released 15.05.2013

Description

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A collaborative effort between a leading academician who has laid foundation to the spatial data mining and a research scientist from 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 class room 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.
A collaborative effort between a leading academician who has laid foundation to the spatial data mining and a research scientist from 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 class room 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.

List 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.

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.

Product details

Authors Shashi (EDT)/ Vatsavai Shekhar
Assisted by Shashi Shekhar (Editor), Ranga Raju Vatsavai (Editor)
Publisher Taylor & Francis Ltd.
 
Languages English
Product format Hardback
Release 15.05.2013, delayed
 
EAN 9781439814185
ISBN 978-1-4398-1418-5
No. of pages 300
Series Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Subject Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics

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