Download PDF by Philipp Meisen: Analyzing Time Interval Data : Introducing an Information

By Philipp Meisen

ISBN-10: 3658157275

ISBN-13: 9783658157272

ISBN-10: 3658157283

ISBN-13: 9783658157289

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 discover a knowledge method. The offered approach is able to acting analytical projects (avoiding any form of summarizability problems), offering insights, and visualizing effects processing hundreds of thousands of periods inside of milliseconds utilizing an intuitive SQL-based question language. the guts 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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Extra resources for Analyzing Time Interval Data : Introducing an Information System for Time Interval Data Analysis

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1 Apple falling from tree, example of a time interval and associated information observed, measured or calculated during the process of an apple falling from a tree. , a time interval of [09:45:12, 09:45:57]). During (or after) the observation the properties color, class, weight, fall, and duration were measured. f. 2), it is noticeable that properties may have to be handled differently from a semantical and analytical point of view. For example, the property color can be of interest when filtering, whereas the property class may be useful to determine a price, which can be important when aggregating.

Red apple" as categorization vs. "16 items" as fact). 1 illustrates a first example of a time interval and different types of associated information. 1 Apple falling from tree, example of a time interval and associated information observed, measured or calculated during the process of an apple falling from a tree. , a time interval of [09:45:12, 09:45:57]). During (or after) the observation the properties color, class, weight, fall, and duration were measured. f. 2), it is noticeable that properties may have to be handled differently from a semantical and analytical point of view.

Defined by a discrete or continuous function); if not, limited data can be analyzed by the bounded temporal model by using the minimal and maximal time point of the limited data as boundaries. 9). 9: 2 Time Interval Data Analysis Selection of a time window from an unbounded temporal model to be presented and analyzable in a bounded temporal model. Taking into consideration the above-mentioned findings, a bounded temporal model is used within this book. 4 Temporal Operators A temporal operator for time intervals expresses the relation between typically, but not exclusively, two intervals.

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Analyzing Time Interval Data : Introducing an Information System for Time Interval Data Analysis by Philipp Meisen


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