One of the key challenges in large information systems such as online shops and digital libraries is to discover the relevant knowledge from the enormous volume of information. Rec...
Millions of users retrieve information from the Internet using search engines. Mining these user sessions can provide valuable information about the quality of user experience and...
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
The explosion of Web opinion data has made essential the need for automatic tools to analyze and understand people’s sentiments toward different topics. In most sentiment analy...
— In contrast to aggregate inter-packet metrics that quantify the arrival processes of aggregate traffic at a single point in the network, intraflow end-to-end per-packet perform...
Dimitrios P. Pezaros, Manolis Sifalakis, David Hut...