Analyzing Time Interval Data

Introducing an Information System for Time Interval Data Analysis

Philipp Meisen (Autor)

Buch | Softcover

XXXI, 232 Seiten

2018 | Softcover reprint of the original 1st ed. 2016
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-21516-3 (ISBN)

Artikel merken

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	05.03.2022
Zusatzinfo	XXXI, 232 p. 65 illus., 8 illus. in color.
Verlagsort	Wiesbaden
Sprache	englisch
Maße	148 x 210 mm
Gewicht	349 g
Themenwelt	Mathematik / Informatik ► Informatik ► Netzwerke
Schlagworte	Aggregation • bitmap index • On-Line Analytical Processing • query language • Similarity
ISBN-10	3-658-21516-X / 365821516X
ISBN-13	978-3-658-21516-3 / 9783658215163
Zustand	Neuware