Title: Mining with Massive Data: Parallelism to the Rescue
Speaker: Sergei Vassilvitskii, Yahoo! Research
Date: Monday, March 19, 2012 11:00am - 12:00pm
Location: DIMACS Center, CoRE Bldg, Room 431, Rutgers University, Busch Campus, Piscataway, NJ
Abstract:
The MapReduce paradigm has become a standard for large scale parallel data processing and is used widely in the industry in companies ranging from eHarmony and New York Times to Yahoo!, Google and Facebook. Using examples from data mining including clustering and community detection we describe new algorithmic tools that allow us to solve problems on a massive scale.
DIMACS/CCICADA Interdisciplinary Series, Complete Spring Calendar 2012