Handbook of statistical analysis and data mining applications /
| Main Authors: | , , |
|---|---|
| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
London, United Kingdom :
Academic Press, an imprint of Elsevier,
[2018]
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| Edition: | Second edition. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- History of phases of data analysis, basic theory, and the data mining process
- The algorithms in data mining and text mining, the organization of the three most common data mining tools, and selected specialized areas using data mining
- Tutorials--step-by-step case studies as a starting point to learn how to do data mining analyses
- Measuring true complexity, the "right model for the right use," top mistakes, and the future of analytics.