Analyzing Time Interval Data
Autor Philipp Meisenen Limba Engleză Paperback – 16 iun 2018
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Specificații
ISBN-13: 9783658215163
ISBN-10: 365821516X
Pagini: 264
Ilustrații: XXXI, 232 p. 65 illus., 8 illus. in color.
Dimensiuni: 148 x 210 x 15 mm
Greutate: 0.35 kg
Ediția:Softcover reprint of the original 1st edition 2016
Editura: Springer Fachmedien Wiesbaden
Locul publicării:Wiesbaden, Germany
ISBN-10: 365821516X
Pagini: 264
Ilustrații: XXXI, 232 p. 65 illus., 8 illus. in color.
Dimensiuni: 148 x 210 x 15 mm
Greutate: 0.35 kg
Ediția:Softcover reprint of the original 1st edition 2016
Editura: Springer Fachmedien Wiesbaden
Locul publicării:Wiesbaden, Germany
Textul de pe ultima copertă
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.
Contents
- Modeling Time Interval Data
- Querying for Time Interval Data
- Similarity of Time Interval Data
- An Information System for Time Interval Data Analysis
Target Groups
- Researchers and students in the field of information management
- Business analysts and dispatchers in the fields of online analytical processing (OLAP), data warehousing (DW), business intelligence (BI), workforce management, and data science
The Author
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.
Caracteristici
Publication in the field of technical sciences Includes supplementary material: sn.pub/extras