New Approaches to Analytics in Big Data
The term "Big Data" is partly hype, but is a real problem/opportunity that is here to stay. It will require a fresh look at a number of issues in computational science. This talk will address two main issues, one involving visualization and the other in the dreaded "curse of dimensionality." It will be shown that, ironically, big data will make some old, rather neglected methods suddenly useful.
This will require huge computation, though, and some parallel algorithms will be proposed.
Norm Matloff is a professor of computer science at the University of California, Davis. The author of "The Art of R Programming," his interests are in parallel computation and data science.