- ホーム
- > 洋書
- > 英文書
- > Business / Economics
Full Description
This textbook presents a practical, applications-oriented introduction to data mining. The book uses real examples and case studies to provide a hands-on guidebook for practitioners and students. It includes problems sets, data sets, and case studies that explore how data works and how it can be used. The text introduces various data mining tools, including R, Excel, and others.
Contents
Getting Started with Data Mining. The Knowledge Discovery Process (KDP). Algorithms, Algorithms, and More Algorithms. Wrapping Our Heads around Data Analysis. Using Data Mining Tools. Taking Control of Overfitting and Underfitting. Charting and Visualizing the Data. Using Your Results for F-U-N and P-R-O-F-I-T. Future Directions. Appendix.