Many applications of knowledge discovery and data mining such as rule discovery for semantic query optimization, database integration and decision support, require the knowledge t...
Our research investigates howdomainsemantics are discovered froma relational database at a high level of automation. Thediscoveries are then represented as the extendedEntityRelat...
Roger H. L. Chiang, Terence M. Barron, Veda C. Sto...
Efficient query processing is one of the basic needs for data mining algorithms. Clustering algorithms, association rule mining algorithms and OLAP tools all rely on efficient quer...
In this work we design algorithms for clustering relational columns into attributes, i.e., for identifying strong relationships between columns based on the common properties and ...