Many recent large-scale distributed computing applications utilize spare processor cycles of personal computers that are connected to the Internet. The resulting distributed compu...
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
The proliferation of mobile computers and wireless networks requires the design of future distributed real-time applications to recognize and deal with the signi cant asymmetry be...
Protection of privacy has become an important problem in data mining. In particular, individuals have become increasingly unwilling to share their data, frequently resulting in in...
Data on individuals and entities are being collected widely. These data can contain information that explicitly identifies the individual (e.g., social security number). Data can ...