Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
Sharing huge, massively distributed databases in P2P systems is inherently difficult. As the amount of stored data increases, data localization techniques become no longer suffi...
Rabab Hayek, Guillaume Raschia, Patrick Valduriez,...
Over the years the amount and range of electronic text stored on the WWW has expanded rapidly, overwhelming both users and tools designed to index and search the information. It is...
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
As the network line rates reach 40 Gbps today and 100 Gbps in the near future, performing deep packet inspection (DPI) in the Network Intrusion Detection and Prevention Systems (NI...