Data summarization is the process of producing interpretable and representative subsets of
an input dataset. It is usually performed following a one-shot process with the purpose of …

When exploring a new dataset, Data Scientists often apply analysis queries, look for insights
in the resulting dataframe, and repeat to apply further queries. We propose in this paper a …

Exploratory Data Analysis (EDA) provides guidance to users to help them refine their needs
and find items of interest in large volumes of structured data. In this paper, we develop …

In social-enhanced recommendation systems such as Twitter and Weibo, users could get
information from both personalized recommendation and social diffusion modules. In real …

Data Exploration is an incremental process that helps users express what they want through
a conversation with the data. Reinforcement Learning (RL) is one of the most notable …

A full-fledged data exploration system must combine different access modalities with a
powerful concept of guiding the user in the exploration process, by being reactive and …

This work formalizes the Route Planning Problem (RPP), wherein a set of distributed assets
(eg, ships, submarines, unmanned systems) simultaneously plan routes to optimize a team …

Subjective data links people to content items and reflects who likes or dislikes what. The
valuable information this data contains is virtually infinite and satisfies various information …

There is an increasing gap between fast growth of data and the limited human ability to
comprehend data. Consequently, there has been a growing demand of data management …

Creating a plan, ie, composing a sequence of items to achieve a task is inherently complex if
done manually. This requires not only finding a sequence of relevant items but also …