BDASC18: Big Data Analytics for Social Computing Melbourne Melbourne, Australia, June 3-6, 2018 |
Conference website | https://bdasc.uqcloud.net/ |
Submission link | https://easychair.org/conferences/?conf=bdasc18 |
The Big Data Analytics for Social Computing workshop will offer a timely collection of research updates to benefit the researchers and practitioners working in the fields ranging from social science, machine learning, data mining to business analytics. Social researchers and business agencies increasingly having access to large-scale social data will be informed with new disciplines to study all social phenomenon. To this end, we solicit original research papers addressing the topics listed below (but not limited to):
– Big administrative social science data
– Big health-care and diagnosis data
– Machine learning and predictions on social disadvantage study
– Economic and social well-being
– Quantitative data analysis methods
– Data mining on social networks
– Social media and business data study
– Big electronic health record data evaluations
– Social inequality, human behaviour and social policies