Abstract of “Sampling-based Randomized Algorithms for Big Data Analytics” by Matteo Riondato, Ph.D., Brown University, MayAnalyzing huge datasets becomes prohibitively slow when the dataset does not fit in mai

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Date: 2016-07-30 12:22:15 Network theory Mathematics Graph theory Discrete mathematics Networks Network analysis Betweenness centrality Centrality Association rule learning Eli Upfal Shortest path problem		Abstract of “Sampling-based Randomized Algorithms for Big Data Analytics” by Matteo Riondato, Ph.D., Brown University, MayAnalyzing huge datasets becomes prohibitively slow when the dataset does not fit in mai Add to Reading List Source URL: matteo.rionda.to Download Document from Source Website File Size: 1,76 MB Share Document on Facebook

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