The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
Abstract. Data privacy is an important application of ontology modularization. The aim is to publish one module while keeping the information of another module private. We show how...
The organizational architecture of the multi-agent systems and the structure of social knowledge that the members of the community administer are critical factors for assuring suc...
We explore how Private Information Retrieval (PIR) can help users keep their sensitive information from being leaked in an SQL query. We show how to retrieve data from a relational...
Business users in an enterprise need to keep track of relevant information available on the Web for strategic decisions like mergers and acquisitions. Traditionally this is done by...