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 June 24-25 and June 29-30 2017) will also run in parallel with the conference and are intended for students and workers in the big data industry or related businesses.
- Dr William Yeoh, director, IBM Centre of Excellence in Business Analytics, Deakin University
- Simon Fong, University of Macao
- Hai Zhuge, Aston University, UK
More to be announced.
Ways to participate
You can participate as:
- Keynote speaker
- Workshop organiser
- Tutorial speaker
- Training course attendee.
Call for papers/topics
Researchers are invited to submit research results to areas including, but not limited to:
Big data analytics
- Big data architecture
- Big data modelling
- Big data as a service
- Big data for vertical industries (government, healthcare, etc.)
- Big data analytics
- Big data toolkits
- Big data open platforms
- Economic analysis
- Big data for enterprise transformation,
- Big data in business performance management,
- Big data for business model
- Innovations and analytics
- Big data in enterprise management models and practices
- Big data in government management, models and practices.
- Analytics leadership and soft skills
- Decision and risk analysis
- Revenue management and pricing
- Supply chain analytics
- Transportation data flow management
- Healthcare and life sciences applications
- Marketing analytics
- Predictive analytics/forecasting
- Analytics process
- Data, web and text mining, data mining, optimisation, machine learning
- Fraud detection and cyber security.
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, in the form of posters, slides shows and technical reports, for example.
Authors are invited to submit first extended abstracts (less than two pages) to the conference through EasyChair. Submissions must be original and should have not been published previously or under consideration for publication. Selected papers will be invited for full paper submission shortly later and oral presentation at the conference.
Papers presented at the conference will then be recommended to be extended for a range of Special Issues (SIs) for a number of international journals which are indexed by ISI, Scopus, and/or EI, subject to the standards and quality requirements of that SI, listed as follows for your reference:
- Symmetry: Special Issue "Emerging Approaches and Advances in Big Data"
- IAENG International Journal of Computer Science
- Sustainability: Special Issue "Autonomous and Sustainable Computing for preparing the Internet of Things Environment"
- Big Data Research: Special Issue on Hybrid Evolutionary and Swarm Techniques for Big Data Analytics and Applications
- Information: Open Access Information Science Journal
Please indicate in your extended abstract submission which special issue you wish to be considered for.
Extended abstract submission deadline: 14 April 2017
Notification of acceptance: 30 April 2017
Registration deadline: 21 June 2017 (registration is free)
Conference: 26-28 June 2017
Publication date for selected papers for the SIs: Determined by the guest editors for the SIs.
IEEE Computer Magazine, Chinese Edition
Data Analytics and Collaborative Computing Group, University of Macau, Macau
Institute of Information and Decision Sciences, National Taipei University of Business, Taipei
IBM Centre of Excellence in Business Analytics, Deakin University
School of Big Data Management, Soochow University, Taipei
We have three levels of sponsorship available: gold, silver and bronze. For detailed sponsorship programmes, please contact RIBDA.C@xjtlu.edu.cn.