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Titlebook: Cooperative Information Systems; 28th International C Mohamed Sellami,Paolo Ceravolo,Hervé Panetto Conference proceedings 2022 The Editor(s

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A Data Connector Store for International Data Spaceslem of designing an application to support the broker service provider’s role in operating in an IDS-based ecosystem. This research, therefore, follows a Design Science approach in a three-step process. First, it investigates problems of practical relevance elicited from the IDSA guidelines in combi
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0302-9743 ed with the Enterprise Design, Operations and Computing conference, EDOC 2022, in October 2022 in Bozen-Bolzano, Italy. .The 15 regular papers presented together with 5 research in progress papers were carefully reviewed and selected from 68 submissions. The conference focuses on technical, economic
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Free Printers and Pricey Ink Cartridges,m rare data. In addition, Bi2E employs adaptive margin . which makes embedded representation more flexible by only using a small amount of feature information. Experiments on link prediction benchmarks demonstrate the proposed key capabilities of Bi2E. Moreover, we set a new state-of-the-art on two low connectivity knowledge graph benchmarks.
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,Why So Many Prices End with “9”,ction of the state space graph of the system preserving the observation of both the attacker and the controller. The language induced by this function is proven to be controllable, observable and supremal no matter the relation that exists between the observations of the attacker and the controller.
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,The Economics of Manufacturers’ Rebates,cted a comprehensive user study as well as a comparison to several non-interactive data imputation techniques. We show that our approach significantly outperforms state-of-the-art approaches regarding accuracy as well as preserves user satisfaction and enables domain experts to preprocess large-scale data in an interactive manner.
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,Why So Many Prices End with “9”,-score of 0.76 for recommending the discovery algorithm that maximizes quality criteria. Moreover, our method supports a more in-depth investigation of the process discovery problem by mapping log behavior and discovery techniques.
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