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About ComSoc

The goal of the Technical Committee on Big Data (TCBD), IEEE Communications Society, is to provide a premier platform for its members, and the research, development, services, applications, and standardization communities of big data processing, analysis, analytics, integration, retrieval, and networking, to interact and exchange technical ideas, to identify relevant challenges, and to collaborate and investigate solutions in the development of methodology and solution for the sciences and technologies of big data processing, analysis, analytics, integration, retrieval, and networking.

The technical issues addressed by this Technical Committee include all aspects of big data processing, analysis, analytics, integration, retrieval, related research issues, such as theories, algorithms, solutions, practices, applications, and challenges for big data big data processing, analysis, analytics, integration, retrieval on information and communications technologies; machine learning, data mining, web mining, graph mining, and processing; computational intelligence for big data; knowledge discovery for big data; big data for cloud computing and networking; big data for network design and architectures; big data for network protocols; big data for green information and communication technologies; big data for security, privacy, and trust; crowdsourcing and crowd intelligence using big data; big data maintenance; data science; big data platform design; data-intensive workflows; big data benchmarks; reliability for systems with big data; big data for wireless access and mobility; big data for Internet of Things, big data for software-defined networking; big data for cognitive communications and computing; big data for smart homes; big data for smart sensing; big data for smart grids; big data for relevant signal processing techniques; big data for biomedical and health technologies; big data for social networks; and so on.

Chair | Jie Li
Vice Chairs | Jinsong Wu | Periklis Chatzimisios | Shui Yu | Kwang-Cheng Chen | Mahmoud Daneshmand 
Secretary | Song Guo
Student Competition | Ruidong Li

Visit the Big Data Technical Committee website.

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Novel Techniques in Big Data Analytics for Management

This special issue will also focus on recent, emerging approaches and technical solutions that can exploit Big Data, analytics, and AI in management solutions. We welcome submissions addressing the underlying challenges of Big Data Analytics for Management and presenting novel techniques, experimental results, or theoretical approaches motivated by management problems. Survey papers that offer a perspective on related work and identify key challenges for future research are also in the scope of the special issue.

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IEEE Communications Magazine March 2018

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