Temporal and spatio-temporal data mining

"This book presents probable solutions when discovering the spatial sequence patterns by incorporating the information into the sequence of patterns, and introduces new classes of spatial sequence patterns, called flow and generalized spatio-temporal patterns, addressing different scenarios in...

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Bibliographic Details
Main Author: Hsu, Wynne, 1966-
Corporate Author: IGI Global.
Other Authors: Lee, Mong Li., Wang, Junmei, 1975-
Format: Electronic
Language:English
Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2008.
Subjects:
Online Access:View fulltext via EzAccess
Table of Contents:
  • 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.