Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories
tarafından
Aydin, Berkay. author.
Başlık
:
Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories
Yazar
:
Aydin, Berkay. author.
ISBN
:
9783319998732
Yazar
:
Aydin, Berkay. author.
Edisyon
:
1st ed. 2018.
Fiziksel Niteleme
:
XIII, 106 p. 33 illus., 32 illus. in color. online resource.
Seri
:
SpringerBriefs in Computer Science,
Özet
:
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.
Konu Başlığı
:
Information systems.
Geographical information systems.
Regional economics.
Information Systems and Communication Service. http://scigraph.springernature.com/things/product-market-codes/I18008
Geographical Information Systems/Cartography. http://scigraph.springernature.com/things/product-market-codes/J13000
Regional/Spatial Science. http://scigraph.springernature.com/things/product-market-codes/W49000
Yazar Ek Girişi
:
Angryk, Rafal. A.
Ek Kurum Yazar
:
SpringerLink (Online service)
Elektronik Erişim
:
Materyal Türü | Barkod | Yer Numarası | Durumu/İade Tarihi |
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Electronic Book | 222044-1001 | QA75.5 -76.95 | Springer E-Book Collection |