Analyzing Time Interval Data
Introducing an Information System for Time Interval Data Analysis
Autoren: Meisen, Philipp
Vorschau- Publication in the field of technical sciences
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- Über dieses Buch
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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.
- Über die Autor*innen
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Philipp Meisen holds a doctoral degree from RWTH Aachen, where he was a research group leader at the Chair of Information Management in Mechanical Engineering.
- Inhaltsverzeichnis (9 Kapitel)
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Introduction and Motivation
Seiten 1-5
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Time Interval Data Analysis
Seiten 7-44
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State of the Art
Seiten 45-71
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TIDAMODEL: Modeling Time Interval Data
Seiten 73-89
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TIDAQL: Querying for Time Interval Data
Seiten 91-110
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Inhaltsverzeichnis (9 Kapitel)
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Bibliografische Information
- Bibliographic Information
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- Buchtitel
- Analyzing Time Interval Data
- Buchuntertitel
- Introducing an Information System for Time Interval Data Analysis
- Autoren
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- Philipp Meisen
- Copyright
- 2016
- Verlag
- Springer Vieweg
- Copyright Inhaber
- Springer Fachmedien Wiesbaden GmbH
- eBook ISBN
- 978-3-658-15728-9
- DOI
- 10.1007/978-3-658-15728-9
- Hardcover ISBN
- 978-3-658-15727-2
- Softcover ISBN
- 978-3-658-21516-3
- Auflage
- 1
- Seitenzahl
- XXXI, 232
- Anzahl der Bilder
- 57 schwarz-weiß Abbildungen, 8 Abbildungen in Farbe
- Themen
