Track 8: Call for Paper

Scope and Aims
With the development of Internet of Things (IoT), data has been widely available in large amount. The sensory data can be collected from various real-world scenarios, including GPS data of vehicles, real-time traffic data of road cameras, weather (e.g., temperature or air quality) data from environment sensors, user-generated contents (e.g., tweets, micro-blog, check-ins, photos) from mobile social network, etc. There are specific characteristics of sensory data, like multi-source, heterogeneous, large-scale, real-time streaming, continuous, ever-expanding and spatial-temporal. Many traditional processing approaches or platforms appear their limitations, especially when the data in huge volume or updating in high frequency. It is difficult to manage and mine its inherent true value of the sensory data. The intelligence and engineering on sensory data covers the theories and technologies of different disciplines to provide efficient processing and smart analysis. Intensive research is required on intelligent computing and algorithms. This track as a dedicated forum aims for the scientific and industrial community to present their novel models, methodologies, techniques and solutions which can address theoretical and practical issues.

Topics of Interest
We invite authors from academia and industry to submit their original research as well as review articles to present latest progresses for current development or future goals in this field. Topics of interest include, but are not limited to:
- Large-scale sensory data mining and its algorithm
- Real-time sensory data processing and its algorithm
- Scalable infrastructure or Cloud solution for data management
- Reliability guarantee of data engineering
- Business service model for heterogeneous sensory data
- Location based services and their cyberinfrastructure
- Intelligent data services and user-friendly tools
- Practical applications or business solutions