Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

As an overwhelming volume of data is being generated rapidly from various sources (e.g., intelligent terminals, multimedia information, cloud services, energy system, bio-engineering and health informatics), the computational intelligence paradigms constitutes a promising role in handling the uncertainty, unpredictability (e.g., data volume, velocity and heterogeneity or variety) and real-world optimization problems. This book proposes the broad overview of CI paradigms that covers: Neural Network (NN), Particle Swarm Optimization (PSO), Evolutionary Algorithm (GA), Fuzzy Set (FS), and Rough Sets (RS) and etc. Furthermore, this book highlights the recent research on some representative techniques to elaborate how data centric system formed a powerful platform for processing of cloud hosted multimedia big data could be analyzed, processed and characterized by CI. The CI paradigms not limited to feature selection, optimization approaches for handling high dimensional data, deep learning architectures, hybrid classification and clustering methods in the context of big data infrastructure designs to support big data science centric systems. This book also provides a view at how techniques in CI can offer solutions in modelling, relationship pattern recognition, clustering, and other problems particular to the bio-engineering field. It is written for domain experts and developers, who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of data centric system in the context of multi-media cloud, big data era and its related applications such as smarter health care, homeland security, traffic control, trading analysis and telecom etc. The book is well suited for researchers and PhD exploring the significance of data centric systems in the next paradigm of computing. Presents a brief overview of computational intelligence paradigms and its significant role in application domainsIllustrates the state-of-the-art and recent developments in the new theories and applications of CI approachesMakes the readers familiar with computational intelligence concepts and technologies that are successfully used in the implementation of cloud centric multimedia services massive data processingProvides new advances in the fields of CI for bio-engineering application INDICE: 1. Introductory chapter2. Computational Intelligence in Multimedia Processing3. Multimedia labelling, semantic annotation, and metadata4. Cloud-Based Multimedia Services and related applications5. Multimedia computing and management in cloud environment6. CI Techniques, algorithms and innovative methods for processing multimedia data over the Cloud7. Novel approaches and techniques for co-processing of Cloud hosted multimedia big data8. Multidimensional visualization systems of multimedia big data on Clouds9. Deep learning for multimedia10. Big data Centric Computational Intelligence systems11. Big data in Social media12. Predicative Computational Models for Big Data13. Computational Modelling and Data Integration14. Large-scale Recommendation Systems and Social Media Systems15. Data-Centric Service Modelling for big data services16. Adaptive forecasting systems and Proactive Analytics in Big data Era17. Big data infrastructure designs to support Big data Science18. Computational Intelligence enabling innovative big data applications

• ISBN: 9780128133149
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 420
• Fecha Publicación: 01/08/2018
• Nº Volúmenes: 1
• Idioma: Inglés