Intelligent Interactive Data Exploration

We are envisioning tools that enable a guided, interactive dialogue with the user to help users quickly discover data parts or insights of interest. We consider this process bound by two-way communication: (a) an intelligent system discovers and recommends interesting data and insights tailored to the user's needs; and (b) the user interacts with the system, providing feedback that guides the exploration process. Our goal is to study the challenges that arise from this exploration paradigm, develop new interactive data exploration techniques that combine efficiency with effectiveness, develop methodologies for the evaluation of such systems, and systematically evaluate our algorithms and systems using different data and use cases.