Cognitive Computing: Theory and Applications

<p>A. Fundamentals and Principles1. Cognitive Computing: Concepts, Architectures, Systems and ApplicationsVenkat N Gudivada2. Cognitive Computing and Neural Networks: Reverse Engineering the BrainAnthony S. Maida</p> <p>B. Complex Analytics and Machine Learning 3. Visual Analytic Decision Making Environments for Large-Scale Time Evolving Graphs Siva R. Venna, Raju N. Gottumukkala and Vijay V. Raghavan 4. CyGraph: Graph-Based Analytics and Visualization for Cybersecurity Steven Noel, Eric Harley, Kam Him Tam, Michael Limiero and Matthew Share 5. Cognitive Analytics: Going Beyond Big Data Analytics and Machine LearningVenkat N Gudivada, Mohammad T. Irfan, Ehsan Fathi and Dhana L Rao6. A Cognitive Random Forest: An Intra- and Inter-Cognitive Computing for Big Data Classification Under Cune-ConditionShan Suthaharan7. Bayesian Additive Regression Tree for Seemingly Unrelated Regression with Automatic Tree Selection Sounak Chakraborty </p> <p>C. Applications8. Cognitive Systems for the Food-Water-Energy Nexus Vincent P. A. Lonij and Jean-Baptiste Fiot9. Cognitive Computing Applications in Education and LearningMohammad T. Irfan and Venkat N Gudivada10. Large Scale Data Enabled Evolution of Spoken Language Research and ApplicationsS. Jothilakshmi and Venkat N Gudivada11. The Internet of Things and Cognitive ComputingFlorence D. Hudson</p>