Decision tree is a basic learning method in machine learning and data mining.
决策树是机器学习和数据挖掘领域中一种基本的学习方法。
Rough set theory is one of the main subjects in the field of machine learning and data mining.
粗糙集理论是机器学习和数据挖掘领域的重要课题之一，其中属性约简算法是该理论实现应用的主要算法。
Abstract: Recently, the problem of Class-imbalance has become a hotspot in machine learning and data mining.
摘要：最近在机器学习和数据挖掘上，非平衡类问题成为了一个研究热点。
At present, manifold learning has become a hot issue in the field of pattern recognition, machine learning and data mining.
目前，流形学习已成为模式识别、机器学习和数据挖掘领域的研究热点问题。
Many real world problems deal with ordering objects instead of classifying objects, though most research in machine learning and data mining has been focused on the latter.
许多关于数据挖掘和机器学习的研究都集中于分类的研究，然而现实世界涉及到的不仅仅是分类问题，比如对象的排序问题。
Machine learning and data mining techniques are applied to acquire knowledge and build a concept reasoning network based on semantic dictionary and large training set.
在已有的英语语义词典及大量训练集的基础上，应用机器学习、数据挖掘等技术进行知识获取并最终形成若干个概念推理网。
Machine learning and data mining techniques are applied to acquire knowledge and build a concept reasoning network based on semantic dictionary and large training set.
在已有的英语语义词典及大量训练集的基础上，应用机器学习、数据挖掘等技术进行知识获取并最终形成若干个概念推理网。
应用推荐