While there is an increasing need to share data that may contain personal information, such data sharing must preserve individual privacy without disclosing any identifiable infor...
James J. Gardner, Li Xiong, Kanwei Li, James J. Lu
In today's society, people have very little control over what kinds of personal data are collected and stored by various agencies in both the private and public sectors. We de...
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Association rule mining is an important data analysis tool that can be applied with success to a variety of domains. However, most association rule mining algorithms seek to discov...
In this paper we present the application of the inductive database approach to two practical analytical case studies: Web usage mining in Web logs and financial data. As far as co...
Rosa Meo, Pier Luca Lanzi, Maristella Matera, Dani...