Call for paper

Call for Papers

 

Data is one of the important features of every organization because it helps business leaders to make decisions based on facts, statistical numbers and trends. We are living in the age of the fourth industrial revolution.   There is a massive data explosion that has resulted in the culmination of new technologies and smarter products.  The need for data has risen tremendously in the last decade. Many companies have centered their business on data. Data has created new sectors in the IT industry

Due to this growing scope of data, data science  focused on understanding and drawing specific business, financial, manufacturing and medical research and forecasting.  Based on large volumes of complex data, the data science process is about analyzing, visualizing, extracting, managing and storing data to create insights from analytics.  These insights and reports help companies analyze their marketing strategies, make powerful data-driven decisions and create better advertisements

 The 13th  edition of ASD ‘‘Advances in the Science of Data’’ aims to bring  together researchers, scientists, and business experts to discuss means of establishing new ways of embracing agile approaches within the various domains of Data Science, Artificial Intelligence, Internet of Things (IoT), Industry & Production, including the dependability of systems, data mining, or visualization, communication as well as case studies from leading research institutions and business companies.

  

Topics

Faithful to its spirit of openness, ASD conference remains attentive to the developments in the Information Technology field. Thus, it is still adopting several innovations in its presentation and in its model of knowledge dissemination. This will be organized around different tracks to promote applications on Data science, technology & applcations, and further to involve professionals. 

ASD 2021 will cover 7  tracks. The topics of interest include but are not limited to the following :

  • Track 1 :  Models, Methods and Technology
  • Track 2 :   Data Integration
  • Track 3 :  Artificial Intelligence & Advanced Analysis
  • Track 4 : Optimisation of Big Data Systems
  • Track 5 : Security & Privacy in Big Data Systems
  •  Track 6 : Use cases & Industrial Applications
  • Track 7 : Big Data Benchmarking 

Each contains a set of sub-topics (see section Tracks & Subtopics)
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