Analyzing time interval data : introducing an information system for time interval data analysis / Philipp Meisen.
2016
QA402
Available Online

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Title Analyzing time interval data : introducing an information system for time interval data analysis / Philipp Meisen.
ISBN 9783658157289 (electronic book)
3658157283 (electronic book)
9783658157272
3658157275
DOI https://doi.org/10.1007/978-3-658-15728-9
Published Wiesbaden : Springer Vieweg, 2016.
Language English
Description 1 online resource
Item Number 10.1007/978-3-658-15728-9 doi
Call Number QA402
Dewey Decimal Classification 519.5
Summary 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Description based on print version record.
Available in Other Form Analyzing Time Interval Data.
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Modeling Time Interval Data
Querying for Time Interval Data
Similarity of Time Interval Data
An Information System for Time Interval Data Analysis.

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