2017 International Conference on Big Data Analytics and Business Intelligence (ICBDBI2017)

Xi'an Jiaotong-Liverpool University, Suzhou, China, 26-28 June 2017

The growth of big data presents challenges as well as opportunities for industries and academia. Accumulated data can be extracted, processed, analysed and reported in time to deliver better data insights, complex patterns and valuable predictions to business decision-makers to achieve business competitive advantages. The main building blocks of business intelligence and big data analytics include:

  • big data thinking
  • computational tools
  • data modelling
  • analytical algorithms
  • data governance.

Big data thinking is an exciting area that not only involves business organisational data-related culture but also big data projects initiation, team formation and best practices. Computational platforms and tools offer adaptive mechanisms that enable the understanding of data in complex and changing environments. Algorithms and analysis methods are the foundations for many solutions to real problems. Data and information governance and social responsibility directly affect data usage and social acceptance of business solutions.

The 2017 International Conference on Big Data Analytics and Business Intelligence (ICBDBI2017) will provide an opportunity for researchers and business practitioners to meet and discuss the latest solutions, scientific results and methods in solving intriguing problems in the fields of business analytics, business intelligence, big data analytics, algorithms and analytics methods, data governance, data social responsibilities, hybrid systems, intelligent agents and computational intelligence.

The programme will include workshops, special sessions and tutorials, along with prominent keynote speakers and regular paper presentations and/or poster sessions in parallel tracks. The aim of the conference is to serve as a forum to present current and future work as well as to exchange research ideas in this field. Training programmes (taking place between 24-25 June and 29-30 June 2017) will also run in parallel with the conference and are intended for students and workers in the big data industry or related businesses.

Registration

Currently the conference registration is mainly open to authors with intentions to present their work through our conference via extended abstract submission and acceptance under EasyChair.

The conference will be made open to the public for registration close to the starting date of the conference, i.e. during the first two weeks of June. Your patience is much appreciated.

Call for papers

Researchers are invited to submit research results to areas including, but not limited to Big Data Analytics and Business Intelligence. Individuals from the business and industrial community are invited to submit demonstrations, case studies and best practices related, but not limited, to the above topics.

Call for papers