Traditional recommendation algorithms often select products with the highest predicted ratings to recommend. However, earlier research in economics and marketing indicates that a ...
Modern trading and cluster applications require microsecond latencies and almost no losses in data centers. This paper introduces an algorithm called FineComb that can estimate ļ¬...
The massive data streams observed in network monitoring, data processing and scientiļ¬c studies are typically too large to store. For many applications over such data, we must ob...
An important means of allowing non-expert end-users to pose ad hoc queries ā whether over single databases or data integration systems ā is through keyword search. Given a set...
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...