Cognitive Computing: Theory and Applications

Cognitive Computing: Theory and Applications

Rao, C.R.; Gudivada, Venkat N.; Raghavan, Vijay V; Govindaraju, Venu

Elsevier Science & Technology

09/2016

404

Dura

Inglês

9780444637444

15 a 20 dias

550

Descrição não disponível.
A. Fundamentals and Principles1. Cognitive Computing: Concepts, Architectures, Systems and ApplicationsVenkat N Gudivada2. Cognitive Computing and Neural Networks: Reverse Engineering the BrainAnthony S. Maida

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

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
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Bayesian model; Big data; Big data analytics; Biological neural networks; Brain simulation; Business analytics; Cognitive analytics; Cognitive applications; Cognitive architectures; Cognitive computing; Cognitive computing systems; Cognitive models; Cognitive systems; Convolutional networks; Correlated response; Cybersecurity modeling; Data science; Data streams; Data warehouse; Deep belief networks; Educational data mining; Ensemble model; Graph visualization; Large scale data; Learning analytics; Liquid computing; Machine learning; Mission assurance attack graphs; Natural language processing; Neocortex; NoSQL graph databases; Personalized learning; Regression tree; Reversible jump MCMC; Seemingly unrelated regression; Situational awareness; Speech processing; Text analytics; Time-evolving graphs; Visual analytics