Finding Needles in Haystacks: Tools for Finding Structure in Large Datasets
University of Oxford
Several groups have introduced terms such as KDD (knowledge discovery in databases), Data Mining, Machine Learning and Neural Networks for the challenges of finding structure in large databases. Statisticians have been nowhere near as good at inventing catchy titles nor of promoting their wares, but have an outstanding track record of developing useful tools first! We are only now beginning work on microarrays, so the examples will mainly be drawn from biological imaging, particularly functional and structural MRI of human brains.
The aim of the talk will be to give an overview of the statistical toolbox
and some of its limitations, including