Difference between revisions of "CATS-Nov-21-2014"
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Revision as of 21:35, 19 November 2014
Title[edit]
Frequency Moments of Data Streams
Speaker[edit]
Brian Brubach
Abstract[edit]
Given a massive data set and limited space, what can we learn from a single pass through the data? This talk will serve as an introduction to streaming algorithms for frequency moments in big data. I will present algorithms for problems such as counting the number of distinct elements in a data stream and finding high frequency elements.
The topics discussed in this talk are from Chapter 7.1 of the Hopcroft-Kannan book: https://www.cs.cmu.edu/~venkatg/teaching/CStheory-infoage/hopcroft-kannan-feb2012.pdf
