Interactive redescription set mining and exploration

InterSet is a client-server web application that allows targeted and contextual redescription set exploration. The main drawback of this tool is that it uses fixed, precomputed sets of redescriptions to allow obtaining novel knowledge. In this work, we significantly extend the capabilities of InterSet by adding the possibility to create new redescriptions on predefined data. The main advantage of this is that the user can create new redescriptions in any step of exploration depending on the context and current research hypothesis, utilizing entity or attribute constraint-based redescription mining and enriching the existing set of redescriptions with newly obtained knowledge. This procedure further enhances the potential of forming and exploring new research hypotheses using large sets of redescriptions. The redescription mining ability of the InterSet tool is achieved by utilizing the CLUS-RM algorithm. Usefulness of the obtained environment for interactive redescription set creation, targeted and contextual exploration is demonstrated on real-world use case datasets.