Big Data and Data Analytics

The concept of big data and analytics in different application domains have been of significant importance in the last decade. Big Data and Data Analytics track aims to contribute to the area in a multidisciplinary context covering the research perspectives including conceptual and methodological, technological, managerial and economic, as well as application domains.

Towards this aim, topics from both operational and managerial aspects of analytics and big data are covered. From the operational aspect problems, issues, and challenges as well as pertaining technological solutions/models for the topics such as data crawling, data diversity and volume, data quality, data privacy and security, data preprocessing and mining of data; from the managerial aspect considerations including cost, investment, value, impact, implementation and innovation are encouraged to apply to the track.