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.
Auflage
Softcover reprint of the original 1st ed. 2016
Sprache
Verlagsort
Verlagsgruppe
Springer Fachmedien Wiesbaden GmbH
Zielgruppe
Illustrationen
57
8 farbige Abbildungen, 57 s/w Abbildungen
XXXI, 232 p. 65 illus., 8 illus. in color.
Maße
Höhe: 210 mm
Breite: 148 mm
Dicke: 15 mm
Gewicht
ISBN-13
978-3-658-21516-3 (9783658215163)
DOI
10.1007/978-3-658-15728-9
Schweitzer Klassifikation
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.
