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

Meisen, Philipp

Brossura

ISBN 10: 365821516X ISBN 13: 9783658215163

Casa editrice: Springer Vieweg, 2018

Riassunto

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. 

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Informazioni sull?autore

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.

Dalla quarta di copertina

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.

Dettagli dell?edizione

• Editore: Springer Vieweg
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 365821516X
• ISBN 13: 9783658215163
• Rilegatura: Copertina flessibile
• Numero di pagine: 264
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania