众所周知，当训练数据和测试数据的分布或特征空间不同时，许多数据挖掘和机器学习技术很有可能会失败。

Many existing data mining and machine learning techniques fail when training and test data have different distributions or feature spaces.

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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。

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.

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而机器学习、数据挖掘和预测分析都是狭义的范围，高级分析是一个更广泛的范围，包括它们所有。

And whereas machine learning, data mining, and predictive analysis are all narrowly scoped, advanced analytics is a broader scope that includes them all.

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