The International Conference on Big Data Applications and Services (BIGDAS) aims to address the need of the academic community and industry about Big Data. It encourages academic and industrial interaction and promotes collaborative research in Big Data applications and services by bringing together academics, government, and industry professionals to discuss recent progress and challenges in Big Data applications and services. Moreover, BIGDAS also serves as a platform for theoreticians and practitioners to exchange their original research ideas on academic or industrial aspects of Big Data applications and services, present their new findings or innovative results on theoretical or practical aspects of Big Data, share their experiences on integrating new technologies into products and applications, discuss their work on performing Big Data applications and services in real-life situations, describe their development and operations of challenging Big Data related systems, and identify unsolved challenges. 

The following research areas are expected to be represented at the conference, but research papers on other related topics are also welcome.

  · Big Data Architectures

  · Big Data Models and Algorithms

  · Big Data Search and Mining

  · Big Data Visualization

  · Recommendation Systems

  · IoT and Big Data

  · Smart Factory and Big Data

  · Smart Healthcare and Medicine

  · Big Data and IoT Standardization

  · Big Data for Public Sector

  · Big Data and Privacy

  · Big Data Applications

The selected papers after further revisions will be recommended to the special issues of various international journals.