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This book constitutes refereed articles which present research work
on new and emerging topics such as distributed ledger technology,
blockchains and architectures, smart cities, machine learning and
deep learning techniques and application areas such as flight
pricing, energy demand and healthcare. The intended readership of
the book include researchers, developers and practitioners in the
areas of deep learning, big data and blockchains technologies and
their applications.
Deep and machine learning is the state-of-the-art at providing
models, methods, tools and techniques for developing autonomous and
intelligent systems which can revolutionise industrial and
commercial applications in various fields such as online commerce,
intelligent transportation, healthcare and medicine, etc. The
ground-breaking technology of blockchain also enables
decentralisation, immutability, and transparency of data and
applications. This event aims to enable synergy between these areas
and provide a leading forum for researchers, developers,
practitioners, and professionals from public sectors and industries
to meet and share the latest solutions and ideas in solving
cutting-edge problems in the modern information society and the
economy. The conference focuses on specific challenges in deep (and
machine) learning, big data and blockchain. Some of the key topics
of interest include (but are not limited to): Deep/Machine learning
based models Statistical models and learning Data analysis,
insights and hidden pattern Data visualisation Security threat
detection Data classification and clustering Blockchain security
and trust Blockchain data management
The role of deep learning for the analysis and learning of massive
amounts of data from all aspects of daily-life has dramatically
changed over the last few years. It is increasingly helping uncover
trends leading to great successes. This book includes a collection
of research manuscripts presenting state-of-the-art work in the
areas of deep learning, blockchain and big data. All the
manuscripts included in this book have been peer-reviewed based on
aspects of novelty, originality and rigour. The main topics covered
in the book include machine learning and time series, blockchain
technologies and applications, data security, deep learning, and
Internet of Things.
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Big Data Innovations and Applications - 5th International Conference, Innovate-Data 2019, Istanbul, Turkey, August 26-28, 2019, Proceedings (Paperback, 1st ed. 2019)
Muhammad Younas, Irfan Awan, Salima Benbernou
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R1,557
Discovery Miles 15 570
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Ships in 10 - 15 working days
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This volume constitutes the refereed proceedings of the 5th
International Conference on Big Data Innovations and Applications,
Innovate-Data 2019, held in Istanbul, Turkey, in August 2019. The
15 revised full papers and 1 short paper presented in this volume
were carefully reviewed and selected from 48 submissions. The
papers are organized in topical sections on advances in big data
systems; machine learning and data analytics; big data innovation
and applications; security and risk analysis.
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