SpringerBriefs in Computer Science

Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

Authors: Aydin, Berkay, Angryk, Rafal

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  • ISBN 978-3-319-99873-2
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About this book

This SpringerBrief provides an overview within data mining of spatiotemporal frequent pattern mining from evolving regions to the perspective of relationship modeling among the spatiotemporal objects, frequent pattern mining algorithms, and data access methodologies for mining algorithms. While the focus of this book is to provide readers insight into the mining algorithms from evolving regions, the authors also discuss data management for spatiotemporal trajectories, which has become increasingly important with the increasing volume of trajectories.

This brief describes state-of-the-art knowledge discovery techniques to computer science graduate students who are interested in spatiotemporal data mining, as well as researchers/professionals, who deal with advanced spatiotemporal data analysis in their fields. These fields include GIS-experts, meteorologists, epidemiologists, neurologists, and solar physicists.

Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook $54.99
price for USA in USD
  • ISBN 978-3-319-99873-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-319-99872-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-319-99873-2
DOI
10.1007/978-3-319-99873-2
Softcover ISBN
978-3-319-99872-5
Series ISSN
2191-5768
Edition Number
1
Number of Pages
XIII, 106
Number of Illustrations
1 b/w illustrations, 32 illustrations in colour
Topics