Download e-book for kindle: Analyzing Time Interval Data : Introducing an Information by Philipp Meisen

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 allowing clients to investigate time period information. The brought instruments are mixed to layout and become aware of a data procedure. The awarded method is in a position to acting analytical initiatives (avoiding any kind of summarizability problems), offering insights, and visualizing effects processing thousands of durations inside of milliseconds utilizing an intuitive SQL-based question language. the center of the answer is predicated on a number of bitmap-based indexes, which permit the method 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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Nevertheless, from a domain-specific point of view, the correctness of the value is still not guaranteed because the employee did not check the amount at every time point. 18 2 Time Interval Data Analysis the use of a continuous model is unnecessary. , a value based on a mathematical function) can be easily transformed into a discrete property using discretization techniques (Liu et al. 2002). Another aspect that should be considered when reaching a decision regarding a temporal model is the context.

Days may be rolled-up to a level containing members like none, municipal, national, and international holiday). 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".

Data mining) or even more specific in the field of temporal pattern mining, temporal concepts are often used to explain or classify patterns found within a time interval dataset. For example, the frequent occurrence of five periodically arranged time intervals may indicate an interesting observation. Nevertheless, searching for interesting and infrequent patterns may also be of interest, regarding coincidences or abnormal situations. 2. 12, are used to express temporal arrangements of temporal operators.

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


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