Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP ProJohn Wiley & Sons, 11.05.2016 - 464 Seiten Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro® presents an applied and interactive approach to data mining. Featuring hands-on applications with JMP Pro®, a statistical package from the SAS Institute, the book Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro® also includes:
Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro® is an excellent textbook for advanced undergraduate and graduate-level courses on data mining, predictive analytics, and business analytics. The book is also a one-of-a-kind resource for data scientists, analysts, researchers, and practitioners working with analytics in the fields of management, finance, marketing, information technology, healthcare, education, and any other data-rich field. |
Inhalt
Cover | |
Problems | |
Acknowledgments | |
3 | |
6 | |
8 | |
Data Visualization | |
1 | |
1 | |
Multiple Linear Regression | |
16 | |
kNearest Neighbors kNN | |
1 | |
The Naive Bayes Classifier | |
Classification and Regression Trees | |
1 | |
1 | |
List of Tables | |
1 | |
Dimension Reduction | |
14 | |
1 | |
1 | |
Evaluating Predictive Performance | |
1 | |
1 | |
1 | |
1 | |
Logistic Regression | |
1 | |
Neural Nets | |
Discriminant Analysis | |
List of Illustrations | |
Cluster Analysis | |
Handling Time Series | |
RegressionBased Forecasting | |
Smoothing Methods | |
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Data Mining for Business Analytics: Concepts, Techniques, and Applications ... Galit Shmueli,Peter C. Bruce,Mia L. Stephens,Nitin R. Patel Eingeschränkte Leseprobe - 2016 |