Efficient traffic flow is crucial for sustainable cities, as it directly impacts energy consumption,
pollution levels, and overall quality of life. The integration of superficial intelligence …

Real-world databases are often inconsistent. Although there has been an extensive body of
work on handling inconsistency, little work has been done on measuring inconsistency in …

We investigate the problem of discovering approximate denial constraints (DCs), for finding
DCs that hold with some exceptions to avoid overfitting real-life dirty data and facilitate data …

Functional dependencies (FDs) are among the most important integrity constraints in
databases. They serve to normalize datasets and thus resolve redundancies, they contribute …

We propose the first framework for discovering the set of meaningful functional
dependencies from data. This set contains the true positives among the set of functional …

SQL query performance is critical in database applications, and query rewriting is a
technique that transforms an original query into an equivalent query with a better …

Covers for a set of functional dependencies (FDs) are fundamental for many areas of data
management, such as integrity maintenance, query optimization, database design, and data …

The transversal hypergraph problem asks to enumerate the minimal hitting sets of a
hypergraph. If the solutions have bounded size, Eiter and Gottlob [SICOMP'95] gave an …

The efficiency of query processing is highly affected by execution plans and allocated
resources in the Spark SQL big data processing engine. However, the cost models for Spark …

Multi-column dependencies in relational databases come associated with two different
computational tasks. The detection problem is to decide whether a dependency of a certain …