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书目名称Guide to Intelligent Data Science影响因子(影响力)




书目名称Guide to Intelligent Data Science影响因子(影响力)学科排名




书目名称Guide to Intelligent Data Science网络公开度




书目名称Guide to Intelligent Data Science网络公开度学科排名




书目名称Guide to Intelligent Data Science被引频次




书目名称Guide to Intelligent Data Science被引频次学科排名




书目名称Guide to Intelligent Data Science年度引用




书目名称Guide to Intelligent Data Science年度引用学科排名




书目名称Guide to Intelligent Data Science读者反馈




书目名称Guide to Intelligent Data Science读者反馈学科排名

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Michael R. Berthold,Christian Borgelt,Rosaria Sili

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在前面

https://doi.org/10.1007/978-94-009-5382-6owever, as some of the data preparation steps are motivated by modeling itself, we first discuss the principles of modeling. Many modeling methods will be introduced in the following chapters, but this chapter is devoted to problems and aspects that are inherent in and common to all the methods for analyzing the data.

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Principles of Modeling,owever, as some of the data preparation steps are motivated by modeling itself, we first discuss the principles of modeling. Many modeling methods will be introduced in the following chapters, but this chapter is devoted to problems and aspects that are inherent in and common to all the methods for analyzing the data.

peak-flow

Data Preparation,reater detail (see the following chapters), we have already glimpsed at some fundamental techniques and potential pitfalls in the previous chapter. Before we start modeling, we have to prepare our data set appropriately, that is, we are going to modify our dataset so that the modeling techniques are best supported but least biased.

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