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Analyzing Time Interval Data

Analyzing Time Interval Data

author:
Philipp Meisen
 
publisher:
Springer Fachmedien Wiesbaden
 
edition:
1
 
publication year:
2016
 
language:
English
 
ISBN:
9783658157289
 
pages:
250
 
format:
ileio (leitura online e APP)
 

Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to analyze time interval data. The introduced tools are combined to design and realize an information system. The presented system is capable of performing analytical tasks (avoiding any type of summarizability problems), providing insights, and visualizing results processing millions of intervals within milliseconds using an intuitive SQL-based query language. The heart of the solution is based on several bitmap-based indexes, which enable the system to handle huge amounts of time interval data.

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Personal
License type Print permissions
Acesso Perpétuo unlimited


Online reading: one user per session (no simultaneous sessions allowed)
Offline reading (with APP): maximum of 2 simultaneous devices

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