Temporal and Spatio-Temporal Data Mining, 1st Edition

  • Wynne Hsu
  • Published By:
  • ISBN-10: 1599043890
  • ISBN-13: 9781599043890
  • Grade Level Range: College Freshman - College Senior
  • 280 Pages | eBook
  • Original Copyright 2007 | Published/Released December 2007
  • This publication's content originally published in print form: 2007

  • Price:  Sign in for price

About

Overview

The recent surge of interest in spatio-temporal databases has resulted in numerous advances, such as: modeling, indexing, and querying of moving objects and spatio-temporal data. Aside from this, rule mining in spatial databases and temporal databases have been studied extensively in data mining research. Temporal and Spatio-Temporal Data Mining examines the problem of mining topological patterns in spatio-temporal databases by imposing the temporal constraints into the process of mining spatial collocation patterns.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Table of Contents.
Preface.
Acknowledgments.
1: Introduction.
2: Time Series Mining: Background and Related Work.
3: Mining Dense Periodic Patterns in Time Series Databases.
4: Mining Sequence Patterns in Evolving Databases.
5: Mining Progressive Confident Rules in Sequence Databases.
6: Early Works in Spatio-Temporal Mining.
7: Mining Topological Patterns in Spatio-Temporal Databases.
8: Mining Flow Patterns in Spatio-Temporal Data.
9: Mining Generalized Flow Patterns.
10: Mining Spatio-Temporal Trees.
11: Mining Spatio-Temporal Graph Patterns.
12: Conclusions and Future Work.
About the Authors.
Index.