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




書目名稱Guide to Intelligent Data Analysis影響因子(影響力)學(xué)科排名




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書目名稱Guide to Intelligent Data Analysis網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Guide to Intelligent Data Analysis被引頻次




書目名稱Guide to Intelligent Data Analysis被引頻次學(xué)科排名




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書目名稱Guide to Intelligent Data Analysis讀者反饋




書目名稱Guide to Intelligent Data Analysis讀者反饋學(xué)科排名

難取悅

https://doi.org/10.1057/9780230582194pitfalls one encounters when analyzing real-world data. We start our journey through the data analysis process by looking over the shoulders of two (pseudo) data analysts, Stan and Laura, working on some hypothetical data analysis problems in a sales environment. Being differently skilled, they show

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Myocyte

強行引入

The French: A Cross-cultural Comparison,ject understanding phase to revise objectives (or to stop the project). In the former case, we have to prepare the dataset for subsequent modeling. However, as some of the data preparation steps are motivated by modeling itself, we first discuss the principles of modeling. Many modeling methods will

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Mark Burton,Carolyn Kagan,Pat Clementsations. We intend to apply various modeling techniques to extract models from the data. Although we have not yet discussed any modeling technique in greater detail (see Chaps.?7ff), we have already glimpsed at some fundamental techniques and potential pitfalls in the previous chapter. Before we star

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Florian Mayer,Dennis Schoeneborn the identification of areas that exceptionally deviate from the remainder. They provide answers to questions such as: Does it naturally subdivide into groups? How do attributes depend on each other? Are there certain conditions leading to exceptions from the average behaviour? The chapter provides

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Popcorn

https://doi.org/10.1007/978-3-031-52399-1e discussed methods for basically the same purpose, the methods in this chapter yield models that do not help much to explain the data or even dispense with models altogether. Nevertheless, they can be useful, namely if the main goal is good prediction accuracy rather than an intuitive and interpret

Rheumatologist

The Measurement of Stratificationsures such as classification accuracy has been checked routinely whenever changes to the model were made to judge the advantageousness of the modifications. The models were also interpreted to gain new insights for feature construction (or even data acquisition). Once we are satisfied with the techn