Computational business analytics

Subrata Das

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

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Year of publication:	2014
Authors:	Das, Subrata Kumar
Publisher:	Boca Raton, Fla. [u.a.] : CRC Press, Chapman & Hall
Subject:	Unternehmensanalyse \| Business analysis \| Statistische Methode \| Statistical method \| Numerisches Verfahren \| Numerical analysis \| Künstliche Intelligenz \| Artificial intelligence \| Computerunterstützung \| Computerized method \| Datenanalyse
Description of contents:	Table of Contents [gbv.de]