Use Cases and Success Stories
The following pages presents use cases and success stories about the work developed in collaboration with NERSC users.
Data analysis techniques include post-processing (e.g., data statistics) of experimental datasets and/or simulation output, as well as the use of mathematical methods (e.g., filtering data) and statistical tests. Data mining usually refers to the application of more advanced mathematical techniques such as classification, clustering, pattern recognition, etc. Read More »