Designing storage efficient decision trees

The problem of designing storage-efficient decision trees from decision tables is examined. It is shown that for most cases, the construction of the storage optimal decision tree is an NP-complete problem, and therefore a heuristic approach to the problem is necessary. A systematic procedure analogous to the information-theoretic heuristic is developed. The algorithm has low computational complexity and performs well experimentally.<
>