7th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing
EAI BDCC 2024
Series: EAI/Springer Innovations in Communication and Computing;
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Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 10 April 2026
- ISBN 9783032029782
- Binding Hardback
- No. of pages240 pages
- Size 235x155 mm
- Language English
- Illustrations X, 240 p. 50 illus. in color. 700
Categories
Long description:
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This book features the proceedings of the 7th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2024). The book features detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platforms for Privacy Preserving Data Science, and Internet-Based Cognitive Platforms.
" MoreTable of Contents:
Introduction.- Real-time analytics for instantaneous decision-making, network optimization, and quality of service enhancement in NGNs .- Big data analytics in identifying and mitigating security threats .- Quality monitoring to elevate the overall user experience within NGNs .- Challenges and opportunities in capacity planning, resource allocation, and dynamic adaptation of NGNs .- Machine learning algorithms with big data to automate decision-making processes .- Fuzzy systems and uncertainties in big data analytics .- Big data Analytics Tools and Machine Learning for Data Analysis.-Big data Analytics in Industries and Ubiquitous Data Science .- Blockchain Security and Health Privacy Protection.- Green Technologies in Smart City Computation .- Self-supervised learning for multi-modal biomedical data .- Smart Internet of Things and Vehicular Communications .- Bioinformatics and Visualization of data .- Big Algorithms for Software Development .- Image Computing and Data Science Technology .- Natural Language Generation and Clean Data .- Natural language processing and knowledge discovery .- Text analytics and natural language processing .- Big Enterprise for Future Retail .- Data lakes and Open Source Bigdata Software .- Scalable Data Management Systems .- Future Advancements .- Conclusion.
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