Andrew Knight

Threshold Interval Indexing Techniques for Complicated Uncertain Data

Buch

Uncertain data is an increasingly prevalent topic in database research, given the advance of instruments that inherently generate uncertainty in their data. In particular, the problem of indexing uncertain data for range queries has received considerable attention. This book presents a novel indexing strategy focusing on one-dimensional uncertain continuous data, called threshold interval indexing. Threshold interval indexing is able to balance I/O cost and computational cost to achieve an optimal overall query performance by using a dynamic interval tree and storing x-bounds. This book also presents two variants, called the strong threshold… Mehr

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Produktdetails

Weitere Autoren: Rege, Manjeet / Yu, Qi

ISBN: 978-3-659-44900-0
EAN: 9783659449000
Produktnummer: 37413646
Verlag: LAP Lambert Academic Publishing
Sprache: Englisch
Erscheinungsjahr: 2013
Seitenangabe: 112 S.
Masse: H22.0 cm x B15.0 cm x D0.7 cm 185 g
Abbildungen: Paperback
Gewicht: 185

Über den Autor

Andrew Knight is a professional software engineer whose interests include data management, programming languages, system design, and test engineering. Andrew graduated from Rochester Institute of Technology with a combined BS/MS in Computer Science in 2010. He has since worked for IBM and NetApp in Raleigh, North Carolina, USA.