European Journal of Molecular & Clinical Medicine

This demonstration concerns a system designed and implemented to automatically build multimodal
aggregations of informative news items coming from the two domains of digital television and the
web. Though in recent times several technological solutions have addressed the problem of clustering
online articles, little is available which is capable of integrating these two sources of information.
The demonstrated system is based on a novel hybrid clustering approach able to construct a
directed graph of items representing a certain event (e.g., the tour of the Olympic torch), and to deliver
an RSS service in which each item includes contributions coming from the two domains. Inhouse
experimental evaluations have already proved the efficacy and accuracy of the service.

Usage of emerging technologies become inevitable for creating business value and to swim across the challenges in a digitally driven world. This is applicable in the field of higher education as well. Generally data analytics may enable to get more insights to obtain a better understanding about the needs and wants of all stakeholders of higher education. Higher education experiences only limited progress in hoardingreally rich data that flow through higher education.The objective of this review is to assess some of the prospective benefits of big data and analytics as applied to the world ofhigher education and to explore implementation challenges that can be expected. In addition, thisstudy reviews keypropertiesof successful analytics platforms and elucidates some of the routesthat might be taken to implement thesetechnologies in education.