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Symbolic value partition refers to the problem of dividing each attribute domain of a data table into a family of disjoint subsets. It could help obtaining a new data table with less attributes and smaller attribute domains, thus facilitating further machine learning processing. The optimal symbolic value partition (OSVP) problem of supervised data, where… (More)

The symbolic value partition problem is more general than the reduct problem and more complicated than the discretization problem. In this paper, we point out that the symbolic value partition problem can be converted into a series of reduct problems and propose an algorithm called reduction based symbolic value partition (RBSVP) whose all possible outputs… (More)

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