Computational business analytics /

Bibliographic Details
Main Author: Das, Subrata, (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.