FPO
IEEE

The International Workshop on Data Science Engineering and its Applications (DSEA 2017)


Today, 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 analytic, data warehousing, data compression, computer programming, etc. High Performance Computing typically deals with smaller, highly structured data sets and huge amounts of computation.
Data Science has emerged to tackle the problem of creating processes and approaches to extracting knowledge or insights from gigantic, unstructured data sets.
The International Workshop for Data Science Engineering and Applications (DSEA 2017) aims to provide a forum that brings together researchers, industry practitioners and domain experts for discussion and exchange of ideas on the latest theoretical developments in Data Science and Computing as well as on the best practices for a wide range of applications.

Researchers are encouraged to submit original research contributions in all major areas, which include, but not limited to:

  • Architecture, management and process for data science
  • Data science for the internet of things (IoT)
  • Big Data Computing
  • Data Mining for Data science
  • Cloud computing and service data analysis
  • Data warehouses, cloud architectures
  • Mathematical Issues in Data Science Big Data Issues and Applications
  • Large-scale databases
  • High performance computing for data analytic
  • Large scale optimization
  • Data-driven Scientific Research
  • Security, trust and risk in big data
  • Privacy and protection standards and policies
  • Data Quality
  • Evaluation and Measurement in Data Science
  • Big Data Mining and Knowledge Management
  • Case Study of Data Science

    Important Dates:
    Paper submission deadline: 21/6/2017
    Notification of Acceptance: 6/7/2017
    Camera Ready Submission: 27/8/2017

    Workshop Co-Chairs
    - Elhadj Benkhelifa, Staffordshire University, UK.
    - Nadjia Benblidia, Blida 1 University, Algeria.
    - Yaser Jararweh, Jordan University of Science and Technology, Jordan.

    For paper submission, see the Author Kit tab.