Special Session on Smart Data from Big Heterogeneous Data

We are living in the age of internet-of-smart-things (IoST) where all things are connected and going to be smart. In this era, the quality of people’s living is expected to be enhanced by leveraging IoST to develop smart cities. Thanks to IoST, data of surrounding environment can be collected, transferred, and analyzed to extract useful knowledge and behavior that can support the sustainability and development of smart cities. Since data coming from IoST can be unstructured in forms and varied in formats such as sensor data, text, images, video, audio, and social media data, they present large volume data with diverse and heterogeneous dimensionality. The heterogeneous data with their issues of data quality, security and privacy, data sharing, and data provenance lead to the fact the current algorithms, methods, and software tools of big data mining cannot handle heterogeneous data in the perfect way. Therefore, having meaningful and filtered data, namely smart data, from heterogeneous big data is the utmost requirement to increase the productivity of big data analytics.

This Special Session aims to gather original and high impact research contributions on all the topics related to the development and applications of heterogeneous big smart data for the smart cities. The scope of this special session focusses on the following topics:

The application fields of main interest include, but are not limited to: emergency management; precision agriculture; localization and tracking for location‐aware services; building monitoring and control; energy saving in smart grids; road security and traffic management; smart lighting applications; smart building applications; healthcare and well‐being.

Submission Deadlines: according to the main conference

Special Session Organisers

Minh-Son Dao, ELEDIA@UTB, Universiti Teknologi Brunei (Chair)
Federico Viani, ELEDIA@UniTN, University of Trento, Italy
Saleem Mohamad, Universiti Teknologi Brunei

Technical Committee
Mianxiang Dong, Muroran Technical Institute, Japan
Marco Mesiti, Milan University, Italy
Siripen Pongpaichet, Mahidol University, Thailand
Kyoungsook Kim, AIST, Japan
Anh-Tuan Nguyen, University of Information Technology, Vietnam