DATA MINING: DISCRETIZATION OF ATTRIBUTE VALUES USING THE THEORY OF ROUGH SETS AND CLUSTERING
The pre-processing issues of the non-numeric information that are relevant in the field of the data mining, particularly, the discretization processes of the continuous values of data attributes are considered. The result of the discretization is the transformation of the infinite number of continuous attribute values into a sufficiently large number of finite intervals. A method is proposed that includes algorithms for discretization of the various data types, meets the criteria for splitting and merging intervals, and increases the controllability of the processes. The estimation of the computational complexity of algorithms is executed.