000 02397nam a22004217i 4500
999 _c39458
_d39458
001 33752
003 BD-DhAAL
005 20211109102537.0
008 180916t20142014flua b 001 0 eng d
010 _a 2013478678
015 _aGBB257349
_2bnb
016 7 _a016629215
_2Uk
016 7 _a016103202
_2Uk
020 _a1439890706
020 _a9781439890707
035 _a(OCoLC)ocn870509659
040 _aCDX
_beng
_cCDX
_erda
_dUKMGB
_dYDXCP
_dBTCTA
_dSINLB
_dOCLCO
_dCRCPR
_dOCLCQ
_dTXI
_dOCLCO
_dOCLCQ
_dDLC
_dBD-DhAAL
042 _alccopycat
050 0 0 _aHD38.7
_b.D37 2014
082 0 4 _a658.472
100 1 _aDas, Subrata Kumar
_928188
245 1 0 _aComputational business analytics /
_cSubrata Das Machine Analytics, Inc. Belmont, Massachusetts, USA.
260 _aBoca Raton :
_bCRC Press, Taylor & Francis Group,
_cc2014
300 _axxiv, 490 pages :
_billustrations ;
_c24 cm.
490 1 _aChapman & Hall/CRC data mining and knowledge discovery series
504 _aIncludes bibliographical references (pages 463-477) and index.
505 0 _aChapter 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 _aCSE
650 0 _aBusiness intelligence
_xData processing.
_928189
650 0 _aStrategic planning
_xData processing.
_928190
650 0 _aBusiness
_xComputer programs.
_928191
650 0 _aBusiness requirements analysis.
_928192
650 0 _aComputer science.
_942461
830 0 _aChapman & Hall/CRC data mining and knowledge discovery series.
_928193
852 _aAyesha Abed Library
_cGeneral Stacks
942 _2ddc
_cBK