Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories
SpringerBriefs in Computer Science

Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

    • 42,99 €
    • 42,99 €

Descrizione dell’editore

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.

GENERE
Computer e internet
PUBBLICATO
2018
15 ottobre
LINGUA
EN
Inglese
PAGINE
119
EDITORE
Springer International Publishing
DIMENSIONE
11,3
MB

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