Internformat: Temporal and spatio-temporal data mining

Temporal and spatio-temporal data mining:

"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...

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Bibliographische Detailangaben
Hauptverfasser:	Hsu, Wynne (VerfasserIn), Lee, Mong Li (VerfasserIn), Wang, Junmei (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Hershey ; New York IGI Publishing [2008]
Schlagworte:	Data mining Temporal databases Data Mining
Online-Zugang:	DE-706 DE-1049 DE-898 DE-1050 DE-83 Volltext
Zusammenfassung:	"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
Beschreibung:	Includes bibliographical references and index
Beschreibung:	1 Online-Ressource (x, 280 Seiten) Diagramme
ISBN:	9781599043890

Internformat

MARC


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Datensatz im Suchindex

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dewey-tens	000 - Computer science, information, general works
discipline	Informatik
format	Electronic eBook
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indexdate	2024-08-23T01:08:45Z
institution	BVB
isbn	9781599043890
language	English
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spelling	Hsu, Wynne Verfasser aut Temporal and spatio-temporal data mining Wynne Hsu (National University of Singapore, Singapore), Mong Li Lee (National University of Singapore, Singapore), Junmei Wang (National University of Singapore, Singapore) Hershey ; New York IGI Publishing [2008] © 2008 1 Online-Ressource (x, 280 Seiten) Diagramme txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index "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 Data mining Temporal databases Data Mining (DE-588)4428654-5 gnd rswk-swf Data Mining (DE-588)4428654-5 s DE-604 Lee, Mong Li Verfasser (DE-588)131628313 aut Wang, Junmei Verfasser aut Erscheint auch als Druck-Ausgabe 978-1-59904-387-6 Erscheint auch als Druck-Ausgabe 1-59904-387-4 Erscheint auch als Druck-Ausgabe 978-1-61692-654-0 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-59904-387-6 Verlag URL des Erstveröffentlichers Volltext
spellingShingle	Hsu, Wynne Lee, Mong Li Wang, Junmei Temporal and spatio-temporal data mining Data mining Temporal databases Data Mining (DE-588)4428654-5 gnd
subject_GND	(DE-588)4428654-5
title	Temporal and spatio-temporal data mining
title_auth	Temporal and spatio-temporal data mining
title_exact_search	Temporal and spatio-temporal data mining
title_full	Temporal and spatio-temporal data mining Wynne Hsu (National University of Singapore, Singapore), Mong Li Lee (National University of Singapore, Singapore), Junmei Wang (National University of Singapore, Singapore)
title_fullStr	Temporal and spatio-temporal data mining Wynne Hsu (National University of Singapore, Singapore), Mong Li Lee (National University of Singapore, Singapore), Junmei Wang (National University of Singapore, Singapore)
title_full_unstemmed	Temporal and spatio-temporal data mining Wynne Hsu (National University of Singapore, Singapore), Mong Li Lee (National University of Singapore, Singapore), Junmei Wang (National University of Singapore, Singapore)
title_short	Temporal and spatio-temporal data mining
title_sort	temporal and spatio temporal data mining
topic	Data mining Temporal databases Data Mining (DE-588)4428654-5 gnd
topic_facet	Data mining Temporal databases Data Mining
url	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-59904-387-6
work_keys_str_mv	AT hsuwynne temporalandspatiotemporaldatamining AT leemongli temporalandspatiotemporaldatamining AT wangjunmei temporalandspatiotemporaldatamining

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