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|a Das, Subrata Kumar
|9 28188
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|a Computational business analytics /
|c Subrata Das Machine Analytics, Inc. Belmont, Massachusetts, USA.
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| 260 |
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|a Boca Raton :
|b CRC Press, Taylor & Francis Group,
|c c2014
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| 300 |
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|a xxiv, 490 pages :
|b illustrations ;
|c 24 cm.
|
| 490 |
1 |
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|a Chapman & Hall/CRC data mining and knowledge discovery series
|
| 504 |
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|a Includes bibliographical references (pages 463-477) and index.
|
| 505 |
0 |
|
|a 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.
|
| 526 |
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|a CSE
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| 541 |
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|a Trim Education
|e 33752
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| 650 |
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|a Business intelligence
|x Data processing.
|9 28189
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| 650 |
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|a Strategic planning
|x Data processing.
|9 28190
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| 650 |
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|a Business
|x Computer programs.
|9 28191
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| 650 |
|
0 |
|a Business requirements analysis.
|9 28192
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| 650 |
|
0 |
|a Computer science.
|9 42461
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| 830 |
|
0 |
|a Chapman & Hall/CRC data mining and knowledge discovery series.
|9 28193
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| 852 |
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|a Ayesha Abed Library
|c General Stacks
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