7th International workshop on Big Data and Networks Technologies

Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. It involves many domains, such as signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, etc. High Performance Computing typically deals with smaller, highly structured data sets and huge amount computation. Data Science has emerged to tackle the problem of creating processes and approaches to extracting knowledge or insights from gigantic, unstructured data sets. Networks Communications allow interconnections and exchange of information among various types of nodes ranging from humans, natural sites to computers. Indeed, the heterogeneous character of these ubiquitous connections brings forward the use of complex network technologies and theories. Potential topics include but are not limited to the following: - Big Data and Data Science - Big Data Modeling, Storage, Management, and Analytics - Ad hoc and Pervasive Networks - Cloud, Cluster, Grid and Social Computing - Intelligent Systems for Networking Systems and IoT - Intelligent Traffic and Transportation Systems - Emerging Pervasive/Ubiquitous Technologies - Intelligent Systems for Information and System Security - Mobile Computing and Wireless Communications - Semantic Web Technologies - …