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A Sketch-Based Architecture for Mining Frequent Items and Itemsets from Distributed Data Streams.

, , , и . CCGRID, стр. 245-253. IEEE Computer Society, (2011)

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Eugenio Rivera

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Using Mining@Home for Distributed Ensemble Learning., , и . Globe, том 7450 из Lecture Notes in Computer Science, стр. 100-111. Springer, (2012)From Parallel Data Mining to Grid-Enabled Distributed Knowledge Discovery., и . RSFDGrC, том 4482 из Lecture Notes in Computer Science, стр. 25-36. Springer, (2007)Using Grids for Exploiting the Abundance of Data in Science., и . Scalable Comput. Pract. Exp., (2010)Towards a Cloud-Based Framework for Urban Computing, The Trajectory Analysis Case., , и . CGC, стр. 16-23. IEEE Computer Society, (2013)Fault-Tolerant Distributed Knowledge Discovery Services for Grids., и . CISIS, стр. 1036-1041. IEEE Computer Society, (2012)A Comprehensive Validation Methodology for Trajectory Pattern Mining of GPS Data., , и . DASC/PiCom/DataCom/CyberSciTech, стр. 819-826. IEEE Computer Society, (2016)Predictive Models for Energy-Efficient Clouds: An Analysis on Real-Life and Synthetic Data., и . CIT/IUCC/DASC/PICom, стр. 1538-1543. IEEE, (2015)Towards Parallel Multi-density Clustering for Urban Hotspots Detection., , и . PDP, стр. 245-248. IEEE, (2021)Balancing Speedup and Accuracy in Smart City Parallel Applications., , и . Euro-Par Workshops, том 10104 из Lecture Notes in Computer Science, стр. 224-235. Springer, (2016)Using Clouds for Smart City Applications., , , , и . CloudCom (2), стр. 234-237. IEEE Computer Society, (2013)978-0-7695-5095-4.