SLICE 2018

Healthcare environments produce a tremendous amount of information because of their process, engagement of multiple players and high volume of users. That data is only going to increase as baby-boomers reach retirement age and require better and more frequent healthcare services. With large cohorts of an ageing population and ageing infrastructure, service delivery becomes expensive and difficult for cities and governments. Automating systems through utilization of IoT, Big Data, and M2M tools and technologies demonstrate great opportunity to reduce operating costs significantly, utilize those savings more effectively, and provide better services to communities. The topics of interest include but are not limited to:

Platform architectures
Data analytics
Privacy preserving data mining
Big data integrity and confidentiality
Data and knowledge as a service
Security and privacy applications
Real-time and stream processing techniques and algorithms
Real-life case studies
Proactive/predictive and advanced machine learning models
Simplified and distributed data processing techniques
Ubiquitous machine learning
Fog computing
Smart living data warehouse
Soft computing techniques
Optimization
Resource utilization and Resource Management
Security and Trust
Mobile Computing
Application Development
Wireless Sensor Networks
Mobile Data Services
High Performance Computing
Real-time and stream processing techniques and algorithms for Smart Living support
Data analytics for Smart Living systems
Real-life case studies of value creation through advanced data analytic
Proactive/predictive and advanced machine learning model
Simplified and distributed data processing techniques
Ubiquitous machine learning for Smart Living
Smart home and independent living for elderly people
Modelling and analysis of Smart Living technologies and systems
handheld device and Mobile applications for Smart Living
Cloud computing for Smart Living systems
Efficient communication system for Smart Living systems
Information management for smart cities
Security and privacy of Smart Living systems
IoT platform architecture for Smart Living
IoT analytics and big data analytics for Smart Living
Privacy preserving IoT data mining with special focus on Smart Living
IoT and big data integrity and confidentiality of Smart Living data
Data and knowledge as a services for Smart Living
Security and privacy applications
Fog and Egde computing of Smart Livinge data
data warehouse for Smart Living
Any other topic not covered above and suitable to the conference theme