Titlebook: Analyzing Time Interval Data ; Introducing an Infor Philipp Meisen Book 2016 Springer Fachmedien Wiesbaden GmbH 2016 Aggregation.On-Line An

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Summary and Outlook,ntroduced, which enables the user to analyze time interval data using known techniques like OLAP, data mining, or similarity searches. The heart of the presented system are bitmap-based index structures, enabling the system to process queries using the presented query language.

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Doctoral Degree Programs in Lawt the outcome of elections, or understand causes. Over the last years, discussions with industrial partners and feedback from several companies showed that the analysis of time interval data created various problems, across different domains.

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Christian Schneijderberg,Ulrich TeichlerIn section 2.2, the different features required by an information system are discussed. The introduced terms, temporal aspects, and presented features are results of several workshops with users from different domains (e.g., service providers like ground-handlers, airlines, call centers, and hospita

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Christian Schneijderberg,Ulrich Teichlerthesis by additional analysis. In any way, the acceptance of a query language depends on several design criteria. Snodgrass (1995, pp. 282–284) introduced six measures useful to make appropriate design decisions when specifying a language: expressive power, consistency, clarity, minimality, orthogon

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https://doi.org/10.1007/978-94-007-0507-4he information system. In addition, the user acceptance and usability are criteria to be validated. In the first section of this chapter, i.e. section 8.1, the fulfillment of the features requested is validated.

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https://doi.org/10.1007/978-94-007-0507-4ntroduced, which enables the user to analyze time interval data using known techniques like OLAP, data mining, or similarity searches. The heart of the presented system are bitmap-based index structures, enabling the system to process queries using the presented query language.

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Doctoral Degree Programs in Lawt the outcome of elections, or understand causes. Over the last years, discussions with industrial partners and feedback from several companies showed that the analysis of time interval data created various problems, across different domains.

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Christian Schneijderberg,Ulrich Teichlerthesis by additional analysis. In any way, the acceptance of a query language depends on several design criteria. Snodgrass (1995, pp. 282–284) introduced six measures useful to make appropriate design decisions when specifying a language: expressive power, consistency, clarity, minimality, orthogonality, and independence.

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