**SSP Group Meeting**

Wednesday, 15th August, 11am-12pm

Division of Informatics, 80 South Bridge, Room F13

## Richard Jensen

**Rough Set Theory - what is it ?**
Rough set theory is a tool for studying imprecision,
vagueness, and uncertainty in data analysis. A rough set is an
approximation of a vague concept by a pair of precise concepts, called
lower and upper approximations (which are a classification of the
domain of interest into disjoint categories). The classification
formally represents knowledge about the problem domain.

I'll be explaining the concepts involved and practical applications,
particularly focussing on rough set attribute reduction for the
reduction of dataset dimensionality.