Analyzing Time Interval Data

Introducing an Information System for Time Interval Data Analysis

  • Philipp Meisen

Table of contents

  1. Front Matter
    Pages I-XXXI
  2. Philipp Meisen
    Pages 1-5
  3. Philipp Meisen
    Pages 7-44
  4. Philipp Meisen
    Pages 45-71
  5. Philipp Meisen
    Pages 73-89
  6. Philipp Meisen
    Pages 91-110
  7. Philipp Meisen
    Pages 111-119
  8. Philipp Meisen
    Pages 181-201
  9. Philipp Meisen
    Pages 203-204
  10. Back Matter
    Pages 205-232

About this book


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.

  • 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.


Aggregation On-Line Analytical Processing Bitmap Index Query Language Similarity

Authors and affiliations

  • Philipp Meisen
    • 1
  1. 1.IMARWTH Aachen University IMAAachenGermany

Bibliographic information

  • DOI
  • Copyright Information Springer Fachmedien Wiesbaden GmbH 2016
  • Publisher Name Springer Vieweg, Wiesbaden
  • eBook Packages Computer Science
  • Print ISBN 978-3-658-15727-2
  • Online ISBN 978-3-658-15728-9
  • Buy this book on publisher's site