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  • 1
    Online Resource
    Online Resource
    London :Academic Press,
    UID:
    almahu_9949984390402882
    Format: 1 online resource (xv, 356 pages) : , illustrations
    ISBN: 9780323851183 , 0323851185
    Series Statement: Cognitive data science in sustainable computing
    Content: "Cognitive Big Data Intelligence with a Metaheuristic Approach presents an exact and compact organization of content relating to the latest metaheuristics methodologies based on new challenging big data application domains and cognitive computing. The combined model of cognitive big data intelligence with metaheuristics methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues in real-time. Various real-time case studies and implemented works are discussed in this book for better understanding and additional clarity. This book presents an essential platform for the use of cognitive technology in the field of Data Science. It covers metaheuristic methodologies that can be successful in a wide variety of problem settings in big data frameworks."--Title details screen.
    Note: 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.
    Additional Edition: ISBN 9780323851176
    Additional Edition: ISBN 0323851177
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    gbv_1774479133
    Format: xv, 356 Seiten , Illustrationen, Diagramme
    ISBN: 9780323851176
    Series Statement: Cognitive data science in sustainable computing
    Note: Literaturangaben
    Language: English
    Keywords: Big Data ; Metaheuristik
    Author information: Mallick, Pradeep Kumar 1984-
    Library Location Call Number Volume/Issue/Year Availability
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