We are developing an object-oriented real-time database system that includes a relationally complete query language. Unlike conventional query optimizers, our optimizer estimates ...
We develop a method for predicting query performance by computing the relative entropy between a query language model and the corresponding collection language model. The resultin...
We consider the issue of query performance, and we propose a novel method for automatically predicting the difficulty of a query. Unlike a number of existing techniques which are b...
Abstract. In the context of XML data management systems, the estimation of query cardinality is becoming more and more important: the information provided by a query result estimat...
Many state-of-the-art selectivity estimation methods use query feedback to maintain histogram buckets, thereby using the limited memory efficiently. However, they are "reacti...