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Analyzing Time Interval Data: Introducing an Information System for Time Interval Data Analysis - Softcover

Meisen, Philipp

 
9783658215163: Analyzing Time Interval Data: Introducing an Information System for Time Interval Data Analysis
Softcover
ISBN 10: 365821516X ISBN 13: 9783658215163
Publisher: Springer Vieweg, 2018

Synopsis

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. 

"synopsis" may belong to another edition of this title.

About 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.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

Publisher
Springer Vieweg
Publication date
2018
Language
English
ISBN 10 
365821516X
ISBN 13 
9783658215163
Binding
Paperback
Number of pages
263