Sorting is one of the most fundamental algorithms in Computer Science and a common
operation in databases not just for sorting query results but also as part of joins (ie, sort …

This paper explores the use of machine learning for estimating the selectivity of range
queries in database systems. Using classic learning theory for real-valued functions based …

Classical and learned query optimizers (LQOs) use cardinality estimations as one of the
critical inputs for query planning. Thus, accurately predicting the cardinality of arbitrary …

Estimating the join selectivity is a crucial problem in many aspects of query processing, such
as query optimization and query refinement. Selectivity estimation has been extensively …

We present, an interactive data exploration system that uses a probabilistic approach to
generate a small, query-able summary of a dataset. Departing from traditional …

Recently artificial intelligence techniques in the database community have become a driver
for many database applications. The proposed solution adopting AI in the core database …