Computational business analytics /
Main Author: | |
---|---|
Format: | eBook |
Language: | English |
Published: |
Boca Raton, FL :
CRC Press,
[2014]
|
Series: | Chapman & Hall/CRC data mining and knowledge discovery series.
|
Subjects: | |
Online Access: | View fulltext via EzAccess |
Table of Contents:
- chapter 1. Analytics background and architectures
- chapter 2. Mathematical and statistical preliminaries
- chapter 3. Statistics for descriptive analytics
- chapter 4. Bayesian probability and inference
- chapter 5. Inferential statistics and predictive analytics
- chapter 6. Artificial intelligence for symbolic analytics
- chapter 7. Probabilistic graphical modeling
- chapter 8. Decision support and prescriptive analytics
- chapter 9. Time series modeling and forecasting
- chapter 10. Monte Carlo simulation
- chapter 11. Cluster analysis and segmentation
- chapter 12. Machine learning for analytics models
- chapter 13. Unstructured data and text analytics
- chapter 14. Semantic web
- chapter 15. Analytics tools
- chapter 16. Analytics case studies.