O(∩_∩)O谢谢

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看看，学习学习。

有点贵，在网上其他地方应该也可以下载到

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来积人品啦~~~

回帖如何攒人品。。。。。？

好，谢谢！

thanks for sharing.

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多谢分享！

看一看

谢谢分享，好东西得顶

收藏起，好书！

感谢分享，楼主辛苦了。

看帖回帖积累人品

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谢谢~

积累人品。。。。。。

支持!!!!

However, the risk in the bond market is not by any means absent

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好书，多谢分享

and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but also utilizes specific problem/domain knowledge to suggest specific actions to achieve optimal changes in the value of the target attribute. In particular, the authors suggest a specific implementation of the domain-driven proactive approach for classification trees. The book centers on the core idea of moving observations from one branch of the tree to another. It introduces a novel splitting criterion for decision trees, termed maximal-utility, which max

his book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but also utilizes specific problem/domain knowledge to suggest specific actions to achieve optimal changes in the value of the target attribute. In particular, the authors suggest a specific implementation of the domain-driven proactive approach for classification trees. The book centers on the core idea of moving observations from one branch of the tree to another. It introduces a novel splitting criterion for decision trees, termed maximal-utility, which maximizes the potential for enhancing profitability in the output tree. Two real-world case studies, one of a leading wireless operator and the other of a major security company, are also included and demonstrate how applying the proactive approach to classification tasks can solve business problems. Proactive Data Mining with Decision Trees is intended for researchers, practitioners and advanced-level students.

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thanks for sharing

Thanks so much for sharing your book with us .

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