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Computational business analytics / Subrata Das Machine Analytics, Inc. Belmont, Massachusetts, USA.

By: 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
Subject(s): DDC classification:
  • 658.472
LOC classification:
  • HD38.7 .D37 2014
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.
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Holdings
Item type Current library Home library Call number Copy number Status Date due Barcode Item holds
Book Book Ayesha Abed Library General Stacks Ayesha Abed Library General Stacks 658.472 DAS (Browse shelf(Opens below)) 1 Available 3010033752
Total holds: 0

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.

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