基于新的条件熵的入侵检测算法 关键词：新的条件熵；离散化；入侵检测；知识约减 [gap=1456]Key words：new conditional entropy；discretization；intrusion detection；knowledge reduction
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A new conditional entropy and knowledge reduction algorithms are proposed.
提出新的条件信息熵及其高效知识约简算法。
A new QBC method is presented by combining vote entropy and class conditional posterior maximum entropy for learning TAN classifier.
同时提出了基于投票熵与类条件后验最大熵相结合的QBC算法。
The paper offer a new heuristic attribute reduction algorithm based on conditional granularity entropy, though running an example, we show that this algorithm is effective.
提出了一种基于条件粒度熵的属性约简的启发式算法，通过例子分析，表明该算法是有效的。
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