Cognitive computing : theory and applications / edited by Venkat N. Gudivada, East Carolina University, Greenville, NC, United States [and three others].

Includes bibliographical references and index.

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.