Computational business analytics

Subrata Das, Machine Analytics, Incorporated, Belmont, Massachusetts, USA

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
Publisher:	Boca Raton, FL : CRC Press,
Subject:	Unternehmensanalyse \| Business analysis \| Betriebliches Informationssystem \| Business intelligence system \| Computerunterstützung \| Computerized method \| Datenverarbeitung \| Data processing

Extent:	1 online resource
Series:	Chapman & Hall/CRC data mining and knowledge discovery series
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-0-429-06634-4 ; 978-1-4398-9070-7
Other identifiers:	10.1201/b16358 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10015068841