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Titlebook: Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Syst; Third International Isabelle Linden,

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樓主: Perforation
21#
發(fā)表于 2025-3-25 04:31:22 | 只看該作者
Studies in Development Economics and Policyted the high added value obtained from visual analytics versus tables of numbers. The research also identified a set of good practices for organisations to employ when embarking on a visual analytics strategy and suggested ways of mitigating potential challenges.
22#
發(fā)表于 2025-3-25 09:13:15 | 只看該作者
Incorporating Uncertainty into Decision-Making: An Information Visualisation Approachion-maker to explore cause and effect relationships and experiment with multiple “what-if” scenarios. We demonstrate the utility of RiDeViz through an application example of a financial decision-making scenario.
23#
發(fā)表于 2025-3-25 15:15:10 | 只看該作者
24#
發(fā)表于 2025-3-25 18:28:32 | 只看該作者
25#
發(fā)表于 2025-3-25 23:52:53 | 只看該作者
A Visual Decision Support System for Helping Physicians to Make A decision on New Drugsis no absolute “right” decision: it depends on the physician’s opinion, practice and patient base. Here, we propose a visual approach for supporting this decision using iconic, interactive and graphical presentation techniques for facilitating the comparison of a new drug with already existent drugs
26#
發(fā)表于 2025-3-26 03:46:05 | 只看該作者
Automatic Traffic Enforcement Camera Operation, Based on a Business Intelligence Systemensor data, traffic reports, and road accident records. In 2014 a business intelligence system was developed to obtain all the data from the sensors of the new project and to merge them with the existing data to run the project effectively and efficiently. The aim of this paper is to present the pro
27#
發(fā)表于 2025-3-26 05:15:08 | 只看該作者
28#
發(fā)表于 2025-3-26 10:01:31 | 只看該作者
29#
發(fā)表于 2025-3-26 13:36:38 | 只看該作者
30#
發(fā)表于 2025-3-26 19:28:58 | 只看該作者
Incorporating Uncertainty into Decision-Making: An Information Visualisation Approachits attained from such decisions. Yet, the explicit incorporation of uncertainty into decision-making poses significant cognitive challenges. The decision-maker could be overloaded, and thus may not effectively take the advantages of the uncertainty information. In this paper, we present an informat
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