功能强大的决策树分类算法，是C4.5的改进版本，但在精度，速度和内存开销上均有了很大的改进。目前由rulequest公司管理，其可执行程序版本为商业版本，此GPL许可的源代码对外发布。-Both C4.5 and C5.0 can produce classifiers expressed either as decision trees or rulesets. In many applications, rulesets are preferred because they are simp

功能强大的决策树回归算法，是C4.5的改进版本，但在精度，速度和内存开销上均有了很大的改进。目前由rulequest公司管理，其可执行程序版本为商业版本，此GPL许可的源代码对外发布。-Powerful decision tree regression algorithm is an improved version of C4.5, but in the precision, speed and memory overhead has been greatly improved. Curren

个人实现的slab算法，通过一个巨大的数组模拟内存，然后对这块内存进行slab的管理-The slab algorithm individuals to achieve, through a huge array of analog memory, and this memory management slab