C-Big 2013 - 2nd International Workshop on Collaborative Big Data (C-Big 2013)

The ability to collect, integrate, and analyze data from large number of diverse data sources has increased the amount of data collected and processed by individual organizations on the order of several tens to hundreds of TB. This data can be efficiently utilized for better decision making, improved business intelligence, as well as for enabling new knowledge and services.
Collaborative generation and utilization of large quantities of data, either through crowdsourcing or through efforts of different organizations and groups creates notable research opportunities. The potential benefits of Collaborative Big Data, as well as new and unexpected challenges are still emerging. Managing, processing, and making sense of this data pose new challenges in storage, networking, database management, data mining, knowledge discovery, information security and privacy.
C-Big 2013 brings together researchers and practitioners from around the world to share their experiences on creating, managing, and handling Collaborative Big Data and its benefits.
Topics of Interest
Topics of interest include (but are not limited to):
Challenges for collaboration in Big Data utilization
Network architectures and optimization for Big Data applications
Collaborative Big Data storage and management in the cloud
Collaborative Big Data reliability assessment
Crowdsourcing of the Big Data utilization task
Large-scale collective intelligence for data integration and data fusion
Human-centered information fusion and sense-making
Large-scale process monitoring for handling high data rates
Big Data for network management
Big Data and mobile networks including challenges in spectrum management and sensing
Scalable collaborative graph data processing
Big Data and social networking including location based social networks
Security and privacy in Collaborative Big Data
Applications of Collaborative Big Data