Computational business analytics
Learn How to Properly Use the Latest Analytics Approaches in Your OrganizationComputational Business Analytics presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. Through many examples and challenging case studies from a variety o...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press
[2014]
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| Edición: | 1st edition |
| Colección: | Chapman & Hall/CRC data mining and knowledge discovery series
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629722706719 |
Tabla de Contenidos:
- Front Cover; Contents; Preface; Acknowledgements; Author; 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 SegmentationChapter 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; Appendix A: Usage of Symbols; Appendix B: Examples and Sample Data; Appendix C: Matlab and R Code Examples; References
