By Philipp Meisen
Philipp Meisen introduces a version, a question language, and a similarity degree permitting clients to investigate time period information. The brought instruments are mixed to layout and detect a data approach. The provided approach is able to appearing analytical initiatives (avoiding any form of summarizability problems), supplying insights, and visualizing effects processing hundreds of thousands of periods inside milliseconds utilizing an intuitive SQL-based question language. the center of the answer is predicated on numerous bitmap-based indexes, which allow the process to address large quantities of time period data.
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Additional info for Analyzing Time Interval Data : Introducing an Information System for Time Interval Data Analysis
Such an example can typically be found in production environments. 2 Machine performance, example of a time interval and associated information observed, measured, or calculated during the execution of a task by a machine. , [09:00, 12:30]. The example defines four 10 2 Time Interval Data Analysis properties associated to the time interval: machine, items, maximal capacity, and needed resources. , when used to calculate the utilization of the machine over time). In addition, the needed resources property is of special interest regarding aggregation.
Aviation, logistic, groundhandling, call-center, hospitals, temporary employment, and linguistic. , more than 20 experts), were held between 2012 and 2015. The following sections present features derived from the results of the workshops and complemented by an extended literature research. 3). These features can also be understood as functional requirements. , regarding the performance or robustness) are not discussed in detail. 3). 1 Analytical Capabilities In the field of data analysis, a distinction is made between different analytical techniques.
4. 2 Features of Time Interval Data Analysis Information System As noted in the introduction of this chapter, several workshops with analysts from different domains were organized addressing the issues occurring when analyzing time interval data. " was held with 64 international companies (mainly aviation industry, logistics providers, and ground-handling service providers) during the "Inform Users Conference 2012". , regarding the query language or special visualizations). , aviation, logistic, groundhandling, call-center, hospitals, temporary employment, and linguistic.
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