The advent of the Semantic Web necessitates paradigm shifts away from centralized client/server architectures towards decentralization and peer-to-peer computation, making the exi...
Ernesto Diaz-Aviles, Lars Schmidt-Thieme, Cai-Nico...
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
Managing uncertain data using probabilistic frameworks has attracted much interest lately in the database literature, and a central computational challenge is probabilistic infere...
Silicon technology will continue to provide an exponential increase in the availability of raw transistors. Effectively translating this resource into application performance, how...
Steven Swanson, Ken Michelson, Andrew Schwerin, Ma...
Recent concerns about privacy issues motivated data mining researchers to develop methods for performing data mining while preserving the privacy of individuals. However, the curr...
Albert Levi, Erkay Savas, Mahir Can Doganay, Thoma...