Note that this evaluation is most often the bottle-neck of sequential KDD algorithms. Some goodness metrics utilised include information theoretic eg entropy, statistical significance tests eg. In addition this primitive can be used to support some feature-selection methods. Other generic KDD primitives are being considered, for example in support of instance-based learners. Our work includes experiments on synthetic data, for analytical purposes, and also on realistic volumes of commercial data.
Performance is monitored on a number of parallel platforms.