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Shmueli, Galit

Data Mining for Business Analytics: Concepts, Techniques and Applications with JMP Pro - New Jersey John Wiley & Sons, Inc. 2017 - 442p

Part I: Preliminaries
1. Introduction
2. Overview of the Data Mining Process

Part II: Data Exploration and Dimension Reduction
3. Data Visualization
4. Dimension Reduction

Part III: Performance Evaluation
5. Evaluating Predictive Performance

Part IV: Prediction and Classification Methods
6. Multiple Linear Regression
7. k-Nearest Neighbors (k-NN)
8. The Naive Bayes Classifier
9. Classification and Regression Trees
10. Logistic Regression
11. Neural Nets
12. Discriminant Analysis
13. Combining Methods: Ensembles and Uplift Modeling

Part V: Mining Relationships Among Records
14. Cluster Analysis

Part VI: Forecasting Time Series
15. Handling Time Series
16. Regression-Based Forecasting
17. Smoothing Methods

Part VII: Cases
18. Cases

ISBN: 9781118877432

Subjects--Personal Names:
Data Mining
Business Mathematics - Computer Programs
Data Processing

Dewey Class. No.: 006.312 / SHM