Tutorial 6
Data Reduction Methods in Data Mining
Abstract:
Data Mining is characterized by big data. While theoretically this may be
advantageous, in practice the data may be too big. The dimensions can
exceed the capacity of the prediction programs, or it may simply take too
long to produce a solution. In this tutorial, after giving a short
introduction to the field, we shall survey methods for reducing data to
within acceptable bounds. Our emphasis shall be on practical methods that
can be usefully applied in a wide range of situations independent of the
prediction methods.