Progressive visualization is fast becoming a technique in the visualization community to help
users interact with large amounts of data. With progressive visualization, users can examine …

Modern databases face formidable challenges when called to join (several) massive tables.
Joins (especially when entailing many-to-many joins) are very time-and resource …

The growing demand for data-intensive decision support and the migration to multi-tenant
infrastructures put databases under the stress of high analytical query load. The requirement …

The intra-window join (IaWJ), ie, joining two input streams over a single window, is a core
operation in modern stream processing applications. This paper presents the first …

When numerical and machine learning (ML) computations are expressed relationally,
classical query execution strategies (hash-based joins and aggregations) can do a poor job …

Deep Learning (DL) has achieved great success in many real applications. Despite its
success, there are some main problems when deploying advanced DL models in database …

The proliferation of event-based social networking (EBSN) motivates studies on topics such
as event, venue, and friend recommendation as well as event creation and organization. In …

This tutorial overviews principles behind recent works on training and maintaining machine
learning models over relational data, with an emphasis on the exploitation of the relational …

Progressive query processing is a new attractive paradigm for exploratory data analysis.
This paper considers the case where users want to receive results ordered according to their …

The framework of document spanners abstracts the task of information extraction from text as
a function that maps every document (a string) into a relation over the document's spans …