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 allowing clients to research time period information. The brought instruments are mixed to layout and notice a knowledge process. The offered approach is in a position to acting analytical projects (avoiding any form of summarizability problems), delivering insights, and visualizing effects processing hundreds of thousands of durations inside of milliseconds utilizing an intuitive SQL-based question language. the guts of the answer is predicated on a number of bitmap-based indexes, which permit the procedure to address large quantities of time period data. 

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Tuesdays, weekdays, or days of July. 2 Features of Time Interval Data Analysis Information System 35 Prescriptive Analytics The aim of prescriptive analytics is to optimize upcoming situations by knowing what should ideally happen and rate different outcomes. The arguments mentioned in the case of predictive analytics apply, as well, in the case of prescriptive analytics. There are several tools used by data scientist enabling prescriptive analytics. However, the access to time interval data is quite difficult.

Data Linkage & Collection An information system for time interval data analysis has to provide interfaces enabling the loading of data into the system. During the first development phases and workshops several different ways on loading data into the system were discussed. Furthermore, scalability and data integrity were important topics when discussing the topic of data collection. 4 shows the subsumed features requested. 4: List of requested features for the information system considering data collection.

1. Leap Years The Gregorian calendar differentiates between common years and leap years. The former has 365 days, whereas the latter has 366 days (adding 28 2 Time Interval Data Analysis the 29th of February, namely the leap day). Depending on the level of aggregation used when analyzing temporal data, the existence of a leap day within a year may or may not invalidate the results. , sum or count) are not comparable between a leap year and a common year. , by comparing sorted sets ignoring the additional day).

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


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