Cognitive computing : theory and applications / edited by Venkat N. Gudivada (East Carolina University, Greenville, NC, United States) [and three others]
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| Other Authors: | |
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| Format: | Book |
| Language: | English |
| Published: |
Amsterdam, The Netherlands :
North-Holland/Elsevier,
[2016]
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| Series: | Handbook of statistics (Amsterdam, Netherlands) ;
v. 35. |
| Subjects: |
Table of Contents:
- Section A: Fundamentals and Principles
- Chapter 1: Cognitive Computing: Concepts, Architectures, Systems, and Applications
- Chapter 2: Cognitive Computing and Neural Networks: Reverse Engineering the Brain
- Section B: Complex Analytics and Machine Learning
- Chapter 3: Visual Analytic Decision-Making Environments for Large-Scale Time-Evolving Graphs
- Chapter 4: CyGraph: Graph-Based Analytics and Visualization for Cybersecurity
- Chapter 5: Cognitive Analytics: Going Beyond Big Data Analytics and Machine Learning
- Chapter 6: A Cognitive Random Forest: An Intra- and Intercognitive Computing for Big Data Classification Under Cune Condition
- Chapter 7: Bayesian Additive Regression Tree for Seemingly Unrelated Regression with Automatic Tree Selection
- Section C: Applications
- Chapter 8: Cognitive Systems for the Food-Water-Energy Nexus
- Chapter 9: Cognitive Computing Applications in Education and Learning
- Chapter 10: Large-Scale Data Enabled Evolution of Spoken Language Research and Applications
- Chapter 11: The Internet of Things and Cognitive Computing.