BDNT 2021 - 7th International workshop on Big Data and Networks Technologies
Topics/Call fo Papers
The increasing use of information and communication technologies that are based on Big Data and Networks Technologies, 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 International Workshop on Big Data and Networks Technologies (BDNT) will be held at the Leuven, Belgium, August 9-12, 2021
The aim of BDNT is to bring together researchers, professors and students from around the world to present their latest ideas and research results within the scope of BDNT 2021. The conference will include presentations of contributed papers, poster sessions, and state of the art lectures by invited keynote speakers.
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 International Workshop on Big Data and Networks Technologies (BDNT) will be held at the Leuven, Belgium, August 9-12, 2021
The aim of BDNT is to bring together researchers, professors and students from around the world to present their latest ideas and research results within the scope of BDNT 2021. The conference will include presentations of contributed papers, poster sessions, and state of the art lectures by invited keynote speakers.
Other CFPs
- 16th International Conference on Future Networks and Communications
- 2nd International Conference on Advanced Computing and Applications (ICACA-2021)
- Fifth International Conference on Advances in Computing and Data Sciences (ICACDS 2021)
- The 7th International Conference on Data Processing and Robotics (ICDPR 2023)
- The 7th International Conference on Control Engineering and Artificial Intelligence (CCEAI 2023)
Last modified: 2021-02-07 22:59:40