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Titlebook: Investment Industry Claims Debunked; Smart Personal Finan Robert P. Kurshan Book 2022 The Editor(s) (if applicable) and The Author(s), unde

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樓主: protocol
21#
發(fā)表于 2025-3-25 04:58:23 | 只看該作者
Book 2022of a pension, and general advice about healthcare.?.Although the book is written to beaccessible to those with little or no prior knowledge of ?nance, the studies and conclusions presented here bene?t a multitude of financial investors..
22#
發(fā)表于 2025-3-25 07:57:47 | 只看該作者
23#
發(fā)表于 2025-3-25 12:44:50 | 只看該作者
enactments. The framework hinges on an inductive-learning technique for discovering a special kind of predictive process models, which can support the run-time prediction of a given performance measure (e.g., the remaining processing time/steps) for an ongoing process instance, based on a modular r
24#
發(fā)表于 2025-3-25 17:51:13 | 只看該作者
Robert P. Kurshanpport energy managers to (1) use the analytical and graphical methodology to determine the best investment option that satisfies the designed evaluation parameters, such as return on investment (ROI) and greenhouse gas (GHG) emissions; (2) develop a DGEI optimization model to solve energy investment
25#
發(fā)表于 2025-3-25 20:14:08 | 只看該作者
26#
發(fā)表于 2025-3-26 00:29:52 | 只看該作者
Robert P. Kurshannizations really do. Recent breakthroughs in process mining resulted in powerful techniques to discover the real processes, to detect deviations from normative process models, and to analyze bottlenecks and waste. Process mining and other data science techniques can be used to improve processes with
27#
發(fā)表于 2025-3-26 06:59:41 | 只看該作者
Robert P. Kurshanirtual machines hosted and managed by a infrastructure as a service provider, or they can purchase access to a database service, maintained by a software as a service provider, without physically launching a virtual machine instance for the database. In a database service, application owners do not
28#
發(fā)表于 2025-3-26 10:30:52 | 只看該作者
29#
發(fā)表于 2025-3-26 13:24:27 | 只看該作者
30#
發(fā)表于 2025-3-26 17:01:44 | 只看該作者
Robert P. Kurshan items may not be directly identified using only metrics collected from the source code. CVM-TD is a model to support the identification of technical debt by considering the developer point of view when identifying TD through code comment analysis. In this paper, we investigate the use of CVM-TD wit
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