Heavy hitters, which are items occurring with frequency above a given threshold, are an important aggregation and summary tool when processing data streams or data warehouses. Hie...
John Hershberger, Nisheeth Shrivastava, Subhash Su...
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
User privacy in location-based services has attracted great interest in the research community. We introduce a novel framework based on a decentralized architecture for privacy pr...
With the growing focus on semantic searches and interpretations, an increasing number of standardized vocabularies and ontologies are being designed and used to describe data. We ...
Arnab Bhattacharya, Abhishek Bhowmick, Ambuj K. Si...
Pre-computation and materialization of views with aggregate functions is a common technique in Data Warehouses. Due to the complex structure of the warehouse and the different pro...