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書目名稱Guide to Intelligent Data Science影響因子(影響力)




書目名稱Guide to Intelligent Data Science影響因子(影響力)學科排名




書目名稱Guide to Intelligent Data Science網(wǎng)絡公開度




書目名稱Guide to Intelligent Data Science網(wǎng)絡公開度學科排名




書目名稱Guide to Intelligent Data Science被引頻次




書目名稱Guide to Intelligent Data Science被引頻次學科排名




書目名稱Guide to Intelligent Data Science年度引用




書目名稱Guide to Intelligent Data Science年度引用學科排名




書目名稱Guide to Intelligent Data Science讀者反饋




書目名稱Guide to Intelligent Data Science讀者反饋學科排名

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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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