Analyzing Time Interval Data : Introducing an Information by Philipp Meisen

By Philipp Meisen

Philipp Meisen introduces a version, a question language, and a similarity degree allowing clients to research time period information. The brought instruments are mixed to layout and discover a data process. The awarded approach is able to appearing analytical projects (avoiding any kind of summarizability problems), supplying insights, and visualizing effects processing hundreds of thousands of durations inside of milliseconds utilizing an intuitive SQL-based question language. the center of the answer relies on numerous bitmap-based indexes, which allow the procedure to address large quantities of time period data. 

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1, these solutions cannot be applied satisfactorily in the context of time interval data. 34 2 Time Interval Data Analysis Predictive Analytics In the case of prescriptive analytics the workshops have shown that the need is not rated as high as for descriptive analytics. One of the reasons stated by experts is the assumption that without appropriate descriptive analysis tools, features regarding predictive or prescriptive analysis are difficult to formulate. Another reason, indicated by experts, may be the availability of appropriate, proprietary software.

As a result of these conclusions, the temporal model used within this book is discrete. , "a nondecomposable [indivisible, remark of author] time interval of some fixed, minimal duration" (Dyreson et al. 1994, p. 55)). Linear, Branching, and Circular Temporal Models Another aspect of temporal models addresses the future. Within a linear temporal model only one future is assumed, whereby a branching temporal model allows the existence of at least one but also multiple futures (paths). Moreover, a circular temporal model defines the future to be recurring.

Solving, or at least revealing this problem to the querying user, is an important aspect to ensure correct usage of provided results. 1, several solutions on a conceptual or logical level are presented. 4, the modeling of the time dimension considering an information system for time interval data analysis is introduced and the handling of the mentioned problem is further discussed. Another problem when dealing with the time dimension is the already mentioned variety of additional information attached to a member.

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