Data flow models are used for specifying and analysing signal processing and streaming applications. However, traditional data flow models are either not capable of expressing t...
Bart D. Theelen, Marc Geilen, Twan Basten, Jeroen ...
Privacy concerns have become an important issue in data mining. A popular way to preserve privacy is to randomize the dataset to be mined in a systematic way and mine the randomiz...
— Cloud computing has gained significant traction in recent years. The Map-Reduce framework is currently the most dominant programming model in cloud computing settings. In this ...
There are many challenges in devising solutions for online content processing of live networked multimedia sessions. These include content analysis under uncertainty (evidence of ...
While the emerging field of privacy preserving data mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are...
Jimmy Secretan, Anna Koufakou, Michael Georgiopoul...