Big Data, Analytics and the Architecture of Computation
Thursday, 14 November 2013 from 09:30 to 13:30 (GMT)
San Francisco, California
London, United Kingdom
Workshop jointly hosted by the Irish Centre for High End Computing (ICHEC) and the Social Sciences Computing Hub at the Whitaker Institute
The half-day workshop will introduce some novel statistical methods and computational techniques involved in big data analytics, including the issue of cleaning the data sets and automated classification, and visualization. The workshop will also discuss both the conventional and emerging innovative computational solutions for working with big data.
The computations will be implemented in the R environment and the extensibility of the environment will be discussed.
This workshop will be beneficial to a wide range of researchers across Social Sciences, Humanities, Natural and Physical Sciences.
09:30 - Introduction to data analytics What is it, why is it important, where is it used
09:50 - Data analytics: Computation The R environment, Visualization and Extensibility
10:15 - BREAK
10:45 - Introduction to techniques and their implementation Cleaning, basic stats, regression, time series, automated classification
11:45 - BREAK
12:00 – ‘Big data’ and computer architecture What is ‘big data’, where they come from, the conventional and emerging computing solutions
12:30 - Q&A, discussion
13:00 - END/LUNCH
Dr. Adam Ralph, ICHEC
Dr. Bruno Voisin, ICHEC
Dr. Michael Browne, ICHEC
Dr. Srinivas Raghavendra, NUIG
Contact: Gráinne Larkin, Whitaker Institute email@example.com