Most induction algorithms for building predictive models take as input training data in the form of feature vectors. Acquiring the values of features may be costly, and simply acquiring all values may be wasteful, or even prohibitively expensive. Active feature-value acquisition (AFA) elects...

A data mining (DM) process involves multiple stages. A simple, but typical, process might includepreprocessing data, applying a data-mining algorithm, and postprocessing the mining results. Thereare many possible choices for each stage, and only some combinations are valid. Because of thelarge...

A knowledge discovery (KD) process involves pre- data, choosing a data-mining algorithm, and postprocessing the mining results. There are very manychoices for each of these stages, and non-trivial interactions between them. Consequently, both novicesand data-mining specialists need assistance in...

A data mining (DM) process involves multiple stages. A simple, but typical, process might includepreprocessing data, applying a data-mining algorithm, and postprocessing the mining results. Thereare many possible choices for each stage, and only some combinations are valid. Because of thelarge...