Skip to main content
SpringerLink
Log in

Analyzing Time Interval Data

Introducing an Information System for Time Interval Data Analysis

  • Book
  • © 2016

Overview

Authors:
  1. Philipp Meisen

    1. IMA, RWTH Aachen University IMA, Aachen, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Publication in the field of technical sciences

  • Includes supplementary material: sn.pub/extras

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (9 chapters)

  1. Front Matter

    Pages I-XXXI
    Download chapter PDF

  2. Introduction and Motivation

    • Philipp Meisen
    Pages 1-5

  3. Time Interval Data Analysis

    • Philipp Meisen
    Pages 7-44

  4. State of the Art

    • Philipp Meisen
    Pages 45-71

  5. TIDAMODEL: Modeling Time Interval Data

    • Philipp Meisen
    Pages 73-89

  6. TIDAQL: Querying for Time Interval Data

    • Philipp Meisen
    Pages 91-110

  7. TIDADISTANCE: Similarity of Time Interval Data

    • Philipp Meisen
    Pages 111-119

  8. TIDAIS: An Information System for Time Interval Data

    • Philipp Meisen
    Pages 121-179

  9. Results & Evaluation

    • Philipp Meisen
    Pages 181-201

  10. Summary and Outlook

    • Philipp Meisen
    Pages 203-204

  11. Back Matter

    Pages 205-232
    Download chapter PDF
Back to top

Keywords

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. 

Authors and Affiliations

  • IMA, RWTH Aachen University IMA, Aachen, Germany

    Philipp Meisen

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.

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation