Data exploration: a roll call of all user-data interaction functionality

Abstract

Data exploration encompasses a variety of interaction types and data functionality, such as search, data analysis, curation, constraint satisfaction, data mining, and visualization. Data exploration naturally begins when a user is given a set of data and ends when the user extracts all information and knowledge hidden in the data. Although a plethora of systems have been developed to tackle different data exploration aspects, there is no framework devoted to it as a whole. In this paper, we claim that "any" user-data interaction is essential for data exploration and sketch a prototype with both automated and user-induced functionality.