Cognitive Big Data Intelligence with a Metaheuristic Approach

A. Foundations and Architectural Models of Cognitive Big Data and Meta heuristics 1. Cognitive Computing fundamentals like perception, memory, reasoning, emotion, and problem solving 2. Cognitive Computing techniques using artificial intelligence, pattern and speech recognition, and natural language processing 3. Cognitive approaches within data mining and machine learning techniques 4. Big Data Infrastructure for Cognition and Distributed Data Centers for Cognition 5. Meta heuristics in classification, clustering and frequent pattern mining problems 6. Nature-inspired computing and Optimization algorithms 7. Meta heuristics and swarm intelligence approach 8. Use of Computational intelligence and Intelligent computing approaches in engineering domains 9. Big Data, Clouds and Internet of Things (IoT) 10. Dimensionality reduction models with Meta heuristics 11. Neuro-evolutionary and fuzzy models in big data and cognitive analytics 12. Innovative methods for cognitive business big data analytics 13. Cognitive techniques for mining unstructured, spatial-temporal, streaming and multimedia data 14. Data-driven large scale optimization architectures 15. Ensemble learning with Meta heuristics optimization

B. Application Domains and use of Cognitive Big data with Meta heuristics 16. Applications in Logistics, Transportation and Supply Chain Management 17. Cognitive Sensor-Networks applications 18. Algorithm development for big data analysis in E-health and Telemedicine 19. Biomedical Image Processing and Big Data Applications 20. Data Applications of Cognitive Communication 21. Intelligent distributed applications in e-commerce 22. Applications in Economics and Finance 23. Applications in Aeronautics 24. Applications in financial analysis 25. Applications in Cyber security and Intelligence 26. Applications in Traffic Optimization 27. Applications in routing of energy efficient communication networks 28. Other Miscellaneous applications

Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.

• Inteligência artificial
• Aprendizagem mecânica

Accuracy rate; Adaptive metaheuristics; Artificial neural network (ANN)Collaborative filtering(CF)K-nearest neighbor (KNN)Multicriteria recommender system (MCRS)Support vector machine (SVM)Artificial neural network (ANN)Feature extrication and classification; Autoencoders; Big data; Cardiac data; Chess; Classification; Client assignment; Clustering; Cognitive big data; Cognitive computing; Cognitive; Combinatorial optimization; Convolutional neural networks; Crime scene; Cryptography; Data security; Deep learning; Deep reinforcement learning; E-Commerce; E-health; e-health; Encryption; Energy-efficient routing; Evolutionary algorithms; Firefly algorithm; Frequent pattern mining; Greedy algorithm; Healthcare sector; Heuristics; Inertia weight; Internet of Things (IoT)Livestock; IoT; K-means clustering; Liquid flow process; Load balancing; Long-term monitoring; Machine learning (ML)Spiking neural network; Makespan; Metaheuristic; Metaheuristics; Modeling; Multiagent system; Neural network; Nonadaptive metaheuristics; Optimization; Particle swarm optimization; PSO; Routing; Self-driving cars; Semantic segmentation; SVM; Swarm intelligence; Task scheduling; Telemedicine; Virtual reality; Wearable device; Wearables; Wireless body area networks