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network big data, and emerging applications of network big data for computational intelligence.;
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wide range of fields such as performance optimization in IoT, big data, reliability, privacy, security, service selection, QoS and machine;
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analysis; computational intelligence in financial markets; ensemble learning; big data mining and searching.;
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analysis; computational intelligence in financial markets; ensemble learning; big data mining and searching.;
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intelligence, artificial intelligence, machine learning, deep learning, big data, and applications of artificial intelligence in networking, IoT and;
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This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2019), held at;
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learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing and;
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intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering;
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This book gathers selected high-quality research papers from the International Conference on Computational Methods and Data Engineering;
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This book gathers selected high-quality research papers from the International Conference on Computational Methods and Data Engineering;
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This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on;
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, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and;
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, cloud computing, machine vision and robotics, ambient intelligence, intelligent transportation, sensing and sensor networks, big data challenge;
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, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.;
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Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural;
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social network aspects of big data analytics. It covers theory, practices and challenges in social networking. The book spans numerous;
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with social network aspects of big data analytics. It covers theory, practices and challenges in social networking. The book spans numerous;
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studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals;
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, big data analytics, and signal and natural language processing.;
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, big data analytics, and signal and natural language processing.;
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4.0; intelligent processing of multimedia in web systems; and big data streaming, applications and security.;
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The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data;
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The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data;
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methodologies such as artificial intelligence, data mining and data warehousing, cloud computing, computational intelligence, soft computing, image;
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artificial intelligence and big data. This comprehensive reference is ideal for researchers and graduate students in retinal image analysis;
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, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention;
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Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data;
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