| 書目名稱 | Data Mining with SPSS Modeler |
| 副標(biāo)題 | Theory, Exercises an |
| 編輯 | Tilo Wendler,S?ren Gr?ttrup |
| 視頻video | http://file.papertrans.cn/263/262973/262973.mp4 |
| 概述 | Makes data mining accessible to those without programming skills.Provides a step-by-step introduction to the IBM SPSS Modeler.Includes a new chapter on imbalanced data and resampling techniques, and a |
| 圖書封面 |  |
| 描述 | Now in its second edition, this textbook introduces readers to the IBM SPSS Modeler and guides them through data mining processes and relevant statistical methods. Focusing on step-by-step tutorials and well-documented examples that help demystify complex mathematical algorithms and computer programs, it also features a variety of exercises and solutions, as well as an accompanying website with data sets and SPSS Modeler streams. While intended for students, the simplicity of the Modeler makes the book useful for anyone wishing to learn about basic and more advanced data mining, and put this knowledge into practice. This revised and updated second edition includes a new chapter on imbalanced data and resampling techniques as well as an extensive case study on the cross-industry standard process for data mining. |
| 出版日期 | Textbook 2021Latest edition |
| 關(guān)鍵詞 | IBM SPSS Modeler; data mining; statistical software; predictive analytics; statistical methods; exercises |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-3-030-54338-9 |
| isbn_softcover | 978-3-030-54339-6 |
| isbn_ebook | 978-3-030-54338-9 |
| copyright | Springer Nature Switzerland AG 2021 |
|Archiver|手機(jī)版|小黑屋|
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