bokomslag Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories
Data & IT

Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

Berkay Aydin Rafal A Angryk

Pocket

769:-

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

Uppskattad leveranstid 10-16 arbetsdagar

Fri frakt för medlemmar vid köp för minst 249:-

  • 106 sidor
  • 2018
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.
  • Författare: Berkay Aydin, Rafal A Angryk
  • Illustratör: Bibliographie
  • Format: Pocket/Paperback
  • ISBN: 9783319998725
  • Språk: Engelska
  • Antal sidor: 106
  • Utgivningsdatum: 2018-10-18
  • Förlag: Springer International Publishing AG