1. A method, comprising: determining, by a computer processor, a set of one or more features associated with a dataset; determining, by the computer processor, a set of one or more feature subspaces, wherein each feature subspace comprises a respective at least one feature from the set of one or more features; determining, by the computer processor, a set of one or more candidate exploratory actions, wherein each candidate exploratory action comprises a respective feature subspace and a respective instance of a respective outlier detection algorithm; determining, by the computer processor, an optimal subset of one or more exploratory actions from among the set of one or more candidate exploratory actions; executing, by the computer processor, at least one exploratory action in the optimal subset to obtain outlier data; processing, by the computer processor, the outlier data to obtain one or more outlier views; and presenting, by the computer processor, the one or more outlier views via one or more user interfaces.