Analyzing Time Interval Data
Introducing an Information System for Time Interval Data Analysis
Seiten
2016
|
1st ed. 2016
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-15727-2 (ISBN)
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-15727-2 (ISBN)
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.
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.
Modeling Time Interval Data.- Querying for Time Interval Data.- Similarity of Time Interval Data.- An Information System for Time Interval Data Analysis.
Erscheinungsdatum | 14.10.2016 |
---|---|
Zusatzinfo | XXXI, 232 p. 65 illus., 8 illus. in color. |
Verlagsort | Wiesbaden |
Sprache | englisch |
Maße | 148 x 210 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
Schlagworte | Aggregation • algorithms and data structures • bitmap index • Computer networking and communications • Computer Science • data encryption • Data Structures, Cryptology and Information Theory • Information Systems and Communication Service • On-Line Analytical Processing • Operating Systems • query language • Similarity • Software engineering • Software Engineering/Programming and Operating Sys |
ISBN-10 | 3-658-15727-5 / 3658157275 |
ISBN-13 | 978-3-658-15727-2 / 9783658157272 |
Zustand | Neuware |
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