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BDNT 2022 : 8th International workshop on Big Data and Networks Technologies (BDNT 2022)

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Link: https://icbidc2019.sciencesconf.org/
 
When Aug 9, 2022 - Aug 11, 2022
Where Ontario, Canada
Submission Deadline May 10, 2022
Notification Due May 20, 2022
Final Version Due May 25, 2022
Categories    intelligent systems   big data   networks technologies
 

Call For Papers

Data breaches are a daily occurrence, where adversaries attack consumers, corporations, and governments. Moreover, data breaches are growing tremendously due to the immense growth of the backbones of commerce and critical infrastructure, and interconnectivity of networks. The skills of adversaries are improving, and the number and severity of attacks are increasing, which make known security countermeasures suffer. While much research focuses on technical, business or compliance aspects, there is an increasing need for new security solutions to protect assists other than traditional approaches. This Conference focuses on new security techniques that use machine learning, data mining and statistics analytical techniques to solve nowadays security challenges.

The increasing use of information and communication technologies that are based on Big Data and Intelligent Systems, 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.

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