Data preparation for KDD through automatic reasoning based on description logic
The success of KDD largely depends on ad-hoc and costly tasks of data preparation. We proposed automatic data preparation mechanisms to support these tasks. The framework has been valuated statistically in several real KDD projects. It has demonstrated to save an average of 30% of the time in data preparation. It is capable of reducing time in every KDD projects of that uses XML data.
data preparation kdd automatic reasoning description logic data mining