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150323t20142014fluad ob 001 0 eng d |
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|a 9781439890738 (e-book : PDF)
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|a (OCoLC)868488575
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|a FlBoTFG
|b eng
|c FlBoTFG
|e rda
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|a HF5548.2
|b .D37 2014
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|a 658.054
|b D229
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|a Das, Subrata,
|e author.
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|a Computational business analytics /
|c Subrata Das, Machine Analytics, Inc., Belmont, Massachusetts, USA.
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|a Boca Raton, FL :
|b CRC Press,
|c [2014]
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|c ©2014
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|a 1 online resource :
|b text file, PDF.
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|a text
|2 rdacontent
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|a computer
|2 rdamedia
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|a online resource
|2 rdacarrier
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|a Chapman & Hall/CRC data mining and knowledge discovery series
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|a Includes bibliographical references and index.
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|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.
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|a Also available in print format.
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|a Business
|x Computer programs.
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|a Business requirements analysis.
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|a Electronic books.
|2 lcsh
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|i Print version:
|z 9781439890707
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830 |
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|a Chapman & Hall/CRC data mining and knowledge discovery series.
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856 |
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|u https://ezaccess.library.uitm.edu.my/login?url=http://marc.crcnetbase.com/isbn/9781439890738
|z View fulltext via EzAccess
|