Contextual Comparison of Discovered Knowledge Patterns

Contextual comparison of discovered patterns deals with the interpretation of outputs from data mining algorithms. The vehicle provided to perform such operations is that of contextual interestingness, which allows the allocation of importance and direction to each attribute in a result set. Applying these mechanisms it is not only possible to detect trends in results across time, but also to compare individual result elements.