The adoption of ECR has been slow in many regions, despite its many potential benefits to manufacturers, distributors and retailers within a supply chain through reduction of inven...
Educational data mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from the educational context. This work is a ...
This paper makes a case for using multi-core processors to simultaneously achieve transient-fault tolerance and performance enhancement. Our approach is extended from a recent late...
The classification of encrypted traffic on the fly from network traces represents a particularly challenging application domain. Recent advances in machine learning provide the opp...
A use case involving integrating results from search engines illustrates how the meta-metadata language facilitates interoperable metadata semantics. Formal semantics can be hard ...
Yin Qu, Andruid Kerne, Andrew M. Webb, Aaron Herst...