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Decision tree is a common classification algorithm, but this classic algorithm shows low efficiency when dealing with massive data structure decision tree. This paper presents a new approach to structuring decision tree. The split calculation of training units in classic algorithm is taken the place by FP Tree path sets. This method can improve the efficiency of decision tree with the presupposition...
Selection of taxation attributes is one difficult question in analyzing the sources of taxation. This paper introduces genetic-algorithm-based rough set attribute reduction algorithm into the job of taxation attribute reduction. By referring to the concept of dependability in rough set, this method optimizes the configuration of fitness function, improves the convergence of original algorithm and...
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