Then, according to the features of the generalized information table, the algorithms of acquiring minimal attribute reduction, attribute value reduction and minimum decision algorithm are put forward.
首先介绍了决策表、广义信息表的构造及特点，然后给出了求决策表的最小属性约简及最小决策算法的计算方法。
Minimum entropy is chosen as a heuristic strategy in decision tree (DT) learning algorithm such as ID3.
决策树的学习算法，比如id3算法，选用最小信息熵作为启发式信息。
The source distribution in decision region of quantizer is considered in this algorithm, and the decision level of quantizer is derived from the procedure of searching the minimum R D Lagrangian cost.
这种算法考虑了信源在量化器量化判决区域的分布，通过寻找最小的拉格朗日率失真费用函数，获得量化器的判决电平。
MDRBR algorithm USES uniform minimum support threshold for mining default decision rules, the method can not effectively mine the interesting default decision rules to users.
MDRBR算法采用单一的规则支持度阈值进行缺省规则的挖掘，这不利于有效地挖掘出用户感兴趣的缺省规则。
Finally, the experiment process is introduced, comparing with the binary decision tree based on minimum entropy heuristic information, the results show the algorithm proposed in this paper is valid.
最后，给出了实验过程，与用熵作启发式的二叉决策树的比较结果表明了本文算法的有效性。
Finally, the experiment process is introduced, comparing with the binary decision tree based on minimum entropy heuristic information, the results show the algorithm proposed in this paper is valid.
最后，给出了实验过程，与用熵作启发式的二叉决策树的比较结果表明了本文算法的有效性。
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