BigDASC 2015 - International Conference on Big Data and Analytics for Smart Cities

This conference is all about Big Data & Analytics for Smart Cities:
Smart cities use digital technology to enhance wellbeing, to reduce costs and resource consumption, and to engage more effectively and actively with their citizens. Key 'smart' sectors include transport, energy, health care, education, social programs, water and waste.
Big data deals with data so large and/or complex such that traditional data processing applications are inadequate. Big data challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy.
Big Data & Analytics for Smart Cities
Generating, storing and manipulating data on the magnitude of exabytes (one quintillion bytes!) is increasingly relied on to measure traffic, crime and disease patterns, environmental health, business and municipal data. Big data is evolving with advanced analytics to help cities analyze patterns that can reduce pollutants, conserve and manage resources, increase operating efficiencies. Big Data and advanced analytics are evolving in tandem with the “Internet of Things” to establish a global network of an estimated 12.5 billion devices and smart sensors predicated by 2020.
Topics:
Design of computing schemes for analytics platforms in smart cities
Systems and techniques for data collection including heterogeneous sensor networks and cooperative sensing for smart cities
Data integration, data aggregation, data validation, data cleansing techniques
Data anonymization techniques
Data visualization
Social networks and smart cities
Internet of Things (IoT) and smart cities
Use of big data analytics in the following content:
smart grids
emergency evacuation
disaster recovery
security / privacy challenges
business performance management (city governance)
fault detection / diagnosis
real-estate market
behavioral change patterns
congestion management
multi-modal travel management
eHealth in smart cities