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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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31#
發(fā)表于 2025-3-26 23:39:59 | 只看該作者
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.
32#
發(fā)表于 2025-3-27 03:14:11 | 只看該作者
33#
發(fā)表于 2025-3-27 07:07:42 | 只看該作者
Book 2016ity problems), providing insights, and visualizing results processing millions of intervals within milliseconds using an intuitive SQL-based query language. The heart of the solution is based on several bitmap-based indexes, which enable the system to handle huge amounts of time interval data.?
34#
發(fā)表于 2025-3-27 09:56:17 | 只看該作者
35#
發(fā)表于 2025-3-27 14:19:52 | 只看該作者
rocessing millions of intervals within milliseconds using an intuitive SQL-based query language. The heart of the solution is based on several bitmap-based indexes, which enable the system to handle huge amounts of time interval data.?978-3-658-21516-3978-3-658-15728-9
36#
發(fā)表于 2025-3-27 19:44:06 | 只看該作者
37#
發(fā)表于 2025-3-28 00:36:59 | 只看該作者
38#
發(fā)表于 2025-3-28 02:22:41 | 只看該作者
Time Interval Data Analysis, are results of several workshops with users from different domains (e.g., service providers like ground-handlers, airlines, call centers, and hospitals, as well as linguists and production workers) and aligned with an extended literature research.
39#
發(fā)表于 2025-3-28 07:57:14 | 只看該作者
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40#
發(fā)表于 2025-3-28 10:46:28 | 只看該作者
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