Fall 2018

Data Streams II

Friday, Aug. 31, 2018 3:30 pm4:30 pm PDT

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Calvin Lab Auditorium

As the sizes of modern datasets grow, many classical algorithms become prohibitively expensive, as the input is often too large to be stored in the memory of a single compute node. Streaming algorithms are designed to handle massive inputs using limited space: they process a stream of data items 'on the fly' while maintaining a small memory footprint at all times. In this talk I will discuss classical techniques for solving basic statistical estimation problems (e.g., moment estimation, distinct elements) on data streams, as well as recent results on graph analysis in the streaming model.