Abstract Point-of-interest (POI) recommendation helps users quickly filter out irrelevant POI
by considering the spatio-temporal factor. In this paper, we address the problem of check-in …

This paper structures a novel vision for OLAPby fundamentally redefining several of the
pillars on which OLAP has been based for the last 20 years. We redefine OLAP queries, in …

A limitation of many probabilistic topic models such as Latent Dirichlet Allocation (LDA) is
their inflexibility to use local contexts. As a result, these models cannot directly benefit from …

Researchers and scientists read articles to improve their studies. Researchers spend a lot of
time trying to find the suitable article from among a large number of publications. The …

The democratization of data access and the adoption of OLAP in scenarios requiring hand-
free interfaces push towards the creation of smart OLAP interfaces. In this paper, we …

Data catalogs represent a promising solution for semantically classifying and organizing
data sources and enriching raw data with metadata. However, recent research has shown …

Thanks to advances in data analytics, the data on industry can now be processed in ways
that provide valuable insights. Although there have been numerous studies on industry …

The democratization of data access and the adoption of OLAP in scenarios requiring hand-
free interfaces push towards the creation of smart OLAP interfaces. In this paper, we …

ABSTRACT Exploratory Data Analysis (EDA) is an important yet difficult task, currently
performed by expert users, as it requires deep understanding of the data domain as well as …

This work addresses the problem of recommending lifelong pathways, ie, sequences of
actions pertaining to health, social or professional aspects, for fulfilling a personal lifelong …