Data Discretization

• Dividing the range of a continuous attribute into intervals.
• Interval labels can then be used to replace actual data values.
• Reduce the number of values for a given continuous attribute.
• Some classification algorithms only accept categorically attributes.
• This leads to a concise, easy-to-use, knowledge-level representation of mining results. …