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

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Description

Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to research time interval data. The introduced tools are combined to design and realize an information system. The presented system is able to performing analytical tasks (avoiding any form of summarizability problems), providing insights, and visualizing results processing millions of intervals within milliseconds the usage of an intuitive SQL-based query language. The guts of the answer is in accordance with a number of bitmap-based indexes, which permit the system to deal with huge amounts of time interval data. 

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