Cyber-attacks was organized in a simple and random way in the past. However attacks are
carried out systematically and long term nowadays. In addition, the high calculation volume …

Big data refers to any collection of data so large and complex that it exceeds the processing
capability of conventional data management system and techniques. Big data is the hot topic …

The implementation challenges for modelling and simulation in health and social care are
well-known and understood. Yet increasing availability of data and a better understanding of …

The value stream method is widely used in the manufacturing industry to analyze and
redesign value streams. However, with the increasing complexity of modern production …

Prescriptive analytics has emerged as a technological driver in data-intensive enterprise
environments, as it tries to transform valuable insights into actionable recommendations and …

With organisations and governments significantly investing in cyber defenses, there is an
urgent need to develop tools and technologies to help security professionals understand …

Big Data is turning out to be useful in almost all real life scenarios. The meaningful analysis
of the large amount of data (collected from installed sensors, cellular usage, CCTV etc.) is of …

Some telecommunications companies have already initiated big data analytics projects to
extract value-adding insights from the data, but the tools in place are not always optimally …

This study examines how breakthrough technologies affect young people's entrepreneurial
interests. Surveys were used to acquire primary data for this study in two stages: preliminary …

For many years, Institution of higher education have been concerned about the quality of
education and use different means to analyze and improve the understanding of student …