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Analysis of approaches for supporting the Open Provenance Model: A case study of the Trident workflow workbench, и . Future Generation Computer Systems (FGCS), 27 (6): 790--796 (2011)IF 2.43, CORE A.Reliable Management of Community Data Pipelines using Scientific Workflows, , , , и . MSR-TR-2009-125. Microsoft Research, (сентября 2009)Building the Trident Scientific Workflow Workbench for Data Management in the Cloud, , , , и . Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP), стр. 41--50. IEEE, (октября 2009)Predictive Analytics with Microsoft Azure Machine Learning, , и . Apress, New York, 2 издание, (2015)GrayWulf: Scalable Software Architecture for Data Intensive Computing, , , , , , , , , и . MSR-TR-2008-186. Microsoft Research, (сентября 2008)Pan-STARRS: Learning to Ride the Data Tsunami, , , , , , , , , и 1 other автор(ы). Microsoft Research eScience Workshop, Microsoft, (декабря 2008)Talk.Automatic Provenance Recording for Scientific Data using Trident, , и . American Geophysical Union (AGU) Fall Meeting, AGU, (2008)Poster.Provenance for Scientific Workflows: Towards Reproducible Research, , , , , и . Data Engineering Bulletin (DEB), 33 (3): 50--59 (сентября 2010)The Open Provenance Model (v1.01), , , , , , , , , и 8 other автор(ы). 16148. Intelligence, Agents, Multimedia Group, University of Southampton, (июля 2008)Phoenix Application Recovery Project.. IEEE Data Eng. Bull., 25 (4): 27-31 (2002)