Data Mining with R读书介绍
| 类别 | 页数 | 译者 | 网友评分 | 年代 | 出版社 |
|---|---|---|---|---|---|
| 书籍 | 305页 | 8.5 | 2020 | Chapman and Hall/CRC |
| 定价 | 出版日期 | 最近访问 | 访问指数 |
|---|---|---|---|
| USD 79.95 | 2020-02-20 … | 2020-03-08 … | 25 |
The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data Mining with R: Learning with Case Studies uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, the book covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. To present the main data mining processes and techniques, the author takes a hands-on approach that utilizes a series of detailed, real-world case studies: Predicting algae blooms Predicting stock market returns Detecting fraudulent transactions Classifying microarray samples With these case studies, the author supplies all necessary steps, code, and data. Web Resource A supporting website mirrors the do-it-yourself approach of the text. It offers a collection of freely available R source files that encompass all the code used in the case studies. The site also provides the data sets from the case studies as well as an R package of several functions.
作者简介Luís Torgo
葡萄牙波尔图大学计算机科学系副教授，现在在LIAAD实验室从事研究工作。他是APPIA会员，同时还是OBEGEF的创办会员。
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