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Focusing on practical applications, this book provides an accessible introduction to data mining techniques using SAS Enterprise Miner, making it suitable for various fields without requiring advanced mathematical knowledge. It covers essential phases such as data selection, exploration, cleansing, and transformation. Each chapter includes a case study with results and interpretations, enhancing understanding. Readers will learn both predictive techniques like regression and neural networks, and descriptive methods including clustering and exploratory data analysis, all through clear examples and exercises.
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SAS Data Mining, Cesar Lopez
- Lingua
- Pubblicato
- 2015
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