Temporal and spatio-temporal data mining

Wynne Hsu, Mong Li Lee, Junmei Wang

"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 spatio-temporal data by modeling them as graphs, providing a comprehensive synopsis on two successful partition-based algorithms designed by the authors"--Provided by publisher.

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Year of publication:	2008
Authors:	Hsu, Wynne
Other Persons:	Lee, Mong Li (contributor) ; Wang, Junmei (contributor)
Institutions:	IGI Global (contributor)
Publisher:	Hershey, Pa : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
Subject:	Data Mining \| Data mining \| Theorie \| Theory \| Räumliches Datenbanksystem \| Zeitliches Datenbanksystem
Description of contents:	Table of Contents [gbv.de]

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Extent:	Online-Ressource(electronic texts (x, 280 p. : ill.))
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references Restricted to subscribers or individual electronic text purchasers Mode of access: World Wide Web Also available in print.
ISBN:	978-1-59904-389-0 ; 1-59904-389-0 ; 1-59904-387-4 ; 978-1-59904-387-6 ; 978-1-61692-654-0 ; 1-59904-387-4 ; 978-1-61692-654-0 ; 978-1-59904-387-6
Other identifiers:	10.4018/978-1-59904-387-6 [DOI]
Classification:	Datenbanken ; Künstliche Intelligenz
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10011726642