Querying+Environment+for+Predictive+Clustering+Trees

=Querying Environment for Predictive Clustering Trees= ---Dragi Kocev ---Saso Dzeroski ---Jan Struyf ---Suzana Loskovska

Abstract:

 * Inductive databases tightly integrate databases with data mining. Besides data, an inductive database also stores models that have been obtained by running data mining algorithms on the data.By means of a querying environment, the user can query the database and retrieve particular models. In this paper, we propose such a querying enviroment. It can be used for building new models and for searching through the database of previously built models. The models that we consider are so-called predictive clustering trees. PCTs generalize decision trees and can be used for several prediction and clustering tasks, among others, (multi-objective) classification and regression. Our querying environment supports queries that contain size, error, and syntactic constraint on the PCTs and helps the user to quickly obtain the models of interest.