This paper presents predicate transfer, a novel method that optimizes jo...
We study the fine-grained complexity of evaluating Boolean Conjunctive
Q...
In this paper, we investigate space-time tradeoffs for answering conjunc...
Data cleaning is crucial but often laborious in most machine learning (M...
Most data analytical pipelines often encounter the problem of querying
i...
Join query evaluation with ordering is a fundamental data processing tas...
ML models are typically trained using large datasets of high quality.
Ho...
In this paper, we investigate space-time tradeoffs for answering boolean...
We investigate the enumeration of query results for an important subset ...
This work studies the problem of constructing a representative workload ...
Most of the prior work in massively parallel data processing assumes
hom...
There is a large body of recent work applying machine learning (ML)
tech...
In the last few years, much effort has been devoted to developing join
a...
Buying and selling of data online has increased substantially over the l...
We investigate the enumeration of top-k answers for conjunctive queries
...
Recursive query processing has experienced a recent resurgence, as a res...
We study the complexity of consistent query answering on databases that ...
We develop new models and algorithms for learning the temporal dynamics ...
Distributed implementations of mini-batch stochastic gradient descent (S...
Data analytics using machine learning (ML) has become ubiquitous in scie...
Relational queries, and in particular join queries, often generate large...