Query formulation is increasingly performed by systems that need to gues...
We consider learning a probabilistic classifier from partially-labelled
...
We present efficient algorithms for Quantile Join Queries, abbreviated a...
Resilience is one of the key algorithmic problems underlying various for...
Existing techniques for unionable table search define unionability using...
Query Visualization (QV) is the problem of transforming a given query in...
We study ranked enumeration for Conjunctive Queries (CQs) where the answ...
Analyzing relational languages by their logical expressiveness is well
u...
We consider the problem of finding the minimal-size factorization of the...
Modern data lakes are deeply heterogeneous in the vocabulary that is use...
We study full acyclic join queries with general join predicates that inv...
We study the question of when we can provide logarithmic-time direct acc...
Top-k queries have been studied intensively in the database community an...
Understanding the meaning of existing SQL queries is critical for code
m...
We consider running-time optimization for band-joins in a distributed sy...
Node classification is an important problem in graph data management. It...
We study ranked enumeration of the results to a join query in order of
d...
The resilience of a Boolean query is the minimum number of tuples that n...
Anytime approximation algorithms for computing query probabilities over
...
Many problems in areas as diverse as recommendation systems, social netw...
Belief Propagation (BP) is a widely used approximation for exact
probabi...
This paper proposes a new approach for approximate evaluation of #P-hard...
This paper develops upper and lower bounds for the probability of Boolea...
How can we tell when accounts are fake or real in a social network? And ...
This paper develops upper and lower bounds for the probability of Boolea...
In massively collaborative projects such as scientific or community
data...
An answer to a query has a well-defined lineage expression (alternativel...
We propose a database model that allows users to annotate data with beli...
In this paper, we propose causality as a unified framework to explain qu...