University of Anbar
Inductive databases integrate database querying with database mining. In this paper, the authors present an inductive database system that does not rely on a new data mining query language, but on plain SQL. They propose an intuitive and elegant framework based on virtual mining views, which are relational tables that virtually contain the complete output of data mining algorithms executed over a given data table. They show that several types of patterns and models that are implicitly present in the data, such as itemsets, association rules, and decision trees, can be represented and queried with SQL using a unifying framework.