A new conditionalentropy 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。
2
The conditionalentropy of decision table will not change in the reduction process.
知识约简后决策表的条件熵等于初始决策表的条件熵。
3
The attribute weight and weighted support of default regular are defined by using the conditionalentropy and a mining algorithm of default regulars are given for inconsistent database.