Computational business analytics / Subrata Das Machine Analytics, Inc. Belmont, Massachusetts, USA.
Series: Chapman & Hall/CRC data mining and knowledge discovery seriesPublication details: Boca Raton : CRC Press, Taylor & Francis Group, c2014Description: xxiv, 490 pages : illustrations ; 24 cmISBN:- 1439890706
- 9781439890707
- 658.472
- HD38.7 .D37 2014
Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | Item holds |
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Ayesha Abed Library General Stacks | Ayesha Abed Library General Stacks | 658.472 DAS (Browse shelf(Opens below)) | 1 | Available | 3010033752 |
Includes bibliographical references (pages 463-477) and index.
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.
CSE
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