Big Data and Computational Intelligence in Networking presents the state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive understanding of network big data, efficient collection and management of network big data, distributed and scalable online analytics for network big data, and emerging applications of network big data for computational intelligence. In part 1, Basics of Networked Big Data helps you understand the properties, characteristics, challenges, and opportunities of networked big data, geospatial data, and wireless big data. This part covers mathematical, geospatial data, geospatial semantic web, and big data over wireless networks. Part 2, Network Architecture for Big Data Transmissions presents new proposals and network architectures to ensure efficient big data transmissions and streaming big data processing including big data transfer, Internet of Things (IoT), and streaming big data processing. Analysis and Processing of Networked Big Data, part 3, explains how to perform big data analytics based on emerging analytical techniques such as big data analytics, Web analytics, network analytics, and advanced analytics disciplines such as machine learning, data mining, and predictive analytics. The final section, Emerging Applications of Networked Big Data, covers emerging applications such as intelligent mall shopping, network anomaly detection, transportation, the biomedical and social media domains, and smart manufacturing. Big Data and Computational Intelligence in Networking is for both academic and industry readers. Graduate students can select promising research topics from this book that are suitable for their thesis or dissertation research. Researchers will have a deep understanding of the challenging issues and opportunities of network big data and can thus easily find an unsolved research problem to pursue. Engineers from IT companies, service providers, content providers, network operators, and equipment manufacturers can get to know the engineering design issues and corresponding solutions. Book jacket.