Data Mining for Business Analytics: Concepts, Techniques and Applications with JMP Pro

By:

Shmueli, Galit

Contributor(s):

Material type: Text

TextPublication details: John Wiley & Sons, Inc. 2017 New JerseyDescription: 442pISBN:

9781118877432

Subject(s):

DDC classification:

006.312 SHM

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
Book	NIMA Knowledge Centre	9th Floor Reading Zone	General	006.312 SHM (Browse shelf(Opens below))	Available		M0033020

Total holds: 0

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

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