Despite the increasing success of Machine Learning (ML) techniques in real-world applications, their maintenance over time remains challenging. In particular, the prediction accuracy of deployed ML models can suffer due to significant changes between ...

Over the past decade, millions of smart meters have been installed by electricity suppliers worldwide, allowing them to collect a large amount of electricity consumption data, albeit sampled at a low frequency (one point every 30min). One of the ...

Sensors on mobile phones and wearables, and in general sensors on IoT (Internet of Things), bring forth a couple of new challenges to big data research. First, the power consumption for analyzing sensor data must be low, since most wearables and ...

The proliferation of imprecise data has motivated both researchers and the database industry to push statistical techniques into relational database management systems (RDBMSes). We study strategies to maintain model-based views for a popular statistical ...

We address the problem of publishing a Naïve Bayesian Classifier (NBC) or, equivalently, publishing the necessary views for building an NBC, while protecting privacy of the individuals who provided the training data. Our approach completely preserves ...

We propose to demonstrate a practical alternative approach to the current state-of-the-art query processing techniques, called the "Query Mesh" (or QM, for short). The main idea of QM is to compute multiple routes (i.e., query plans), each designed for a ...

After an introduction where the notion of ontology will be introduced in a rigorous way as a set of constraints over legal database instances playing the role of a conceptual model or of a set of dependencies, the tutorial will be divided in three parts. ...

Given a parametrized n-dimensional SQL query template and a choice of query optimizer, a plan diagram is a color-coded pictorial enumeration of the execution plan choices of the optimizer over the query parameter space. These diagrams have proved to be a ...

Trajectory classification, i.e., model construction for predicting the class labels of moving objects based on their trajectories and other features, has many important, real-world applications. A number of methods have been reported in the literature, ...

In this paper we describe a new approach to extract element labels from Web form interfaces. Having these labels is a requirement for several techniques that attempt to retrieve and integrate information that is hidden behind form interfaces, such as ...