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As a result, there is a pressing need for new and innovative algorithms to help us find effective and practical solutions for smart applications such as smart cities, IoT, healthcare, and cybersecurity. This book presents the latest advances in big data intelligence for smart applications.
Data Quality in the Era of Big Data: A Global Review.- Adversarial Machine Learning, Research Trends and Applications.- Multi-agent Systems for Distributed Data Mining Techniques: An Overview.- Time Series Data Analysis using Deep Learning methods for Smart Cities monitoring.- A Low-Cost IMU-Based Wearable System for Precise Identification of Walk Activity using Deep Convolutional Neural Network.