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The increasing use of information and communication technologies that are based on Big Data and Smart Computing, in our lives, and the big volumes of data that the companies and governments have to face, have raised multiple challenges to researchers. Our community will have to provide answers to questions like: What are the good solutions to manipulate and analyze large data sets? What are the appropriate mechanisms to transmit these data from one site to another? ...
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.
The 3rd International Conference on Big Data and Smart Digital Environments (ICBDSDE’2019) will be held in Hammamet, Tunisia, from 28 to 30 November 2019.
The aim of ICBDSDE’2019 is to bring together researchers, engineers and practitioners, from all areas of computer science, to present their latest ideas and research results within the scope of ICBDSDE’2019. The conference will include presentations of contributed papers, poster sessions, and state-of-the-art lectures by invited keynote speakers.
All accepted papers will be published in Springer "Studies in Big Data" (SBD) and
authors of selected papers will be invited to submit an extended version for a special issue of the Inderscience's International Journal of Cloud Computing that is indexd by Scopus (Elsevier).
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