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

Website http://bigdasc.org/2015 | Edit Freely

Category data; smart city; analytics; smart grids; design; visualisation

Deadline: June 30, 2015 | Date: October 13, 2015

Venue/Country: Toronto, Canada

Updated: 2015-05-29 17:43:53 (GMT+9)

Call For Papers - CFP

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