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Titlebook: Enterprise Information Systems; 19th International C Slimane Hammoudi,Michał Śmiałek,Joaquim Filipe Conference proceedings 2018 Springer In

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An Approach for Semantically-Enriched Recommendation of Refactorings Based on the Incidence of Code it with a new one, .ntology for .ftware .factoring (OSORE). We also introduce a new tool, our .factoring .commender .tem (RESYS) which is capable of binding our two ontologies. As a result, refactorings are automatically chosen and semantically linked to their respective code smells. We also conduc
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Using a Time-Based Weighting Criterion to Enhance Link Prediction in Social Networks whether two not linked nodes in a network will connect in the future. Several studies have been proposed to solve it. Some of them compute a compatibility degree (link strength) between connected nodes and apply similarity metrics between non-connected nodes in order to identify potential links. Ho
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Efficient Filter-Based Algorithms for Exact Set Similarity Join on GPUs, CPU-based algorithms. In this paper, we propose a parallel algorithm for the set similarity joins harnessing the power of GPU systems through filtering techniques and divide-and-conquer strategies that scale well with data size. Furthermore, we also present parallel algorithms for all data pre-pro
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Triplet Markov Chains Based- Estimation of Nonstationary Latent Variables Hidden with Independent Noxtensively used due to their ability to recover hidden variables from observed ones even for large data. Such models fail, however, to handle nonstationary data when parameters are unknown. The aim of this paper is to show how the recent triplet Markov chains, strictly more general models exhibiting
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Quality of Care Driven Scheduling of Clinical Pathways Under Resource and Ethical Constraintsde a more efficient organisation of the complex multidisciplinary workflows involved. They also support the timely decision making required for meeting strict treatment constraints for patients within limited hospital resources. However, implementing clinical pathways is challenging because of the v
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