Timeseries analytics is of great importance in many real-world applicati...
Outlier detection is critical in real applications to prevent financial
...
Cardinality estimation is one of the most fundamental and challenging
pr...
As image datasets become ubiquitous, the problem of ad-hoc searches over...
Inferring road graphs from satellite imagery is a challenging computer v...
Large, human-annotated datasets are central to the development of natura...
There has been significant amount of excitement and recent work on GPU-b...
Inferring road attributes such as lane count and road type from satellit...
Many data problems are solved when the right view of a combination of
da...
Much like on-premises systems, the natural choice for running database
a...
An end-to-end data integration system requires human feedback in several...
Graphs are an increasingly popular way to model real-world entities and
...
Machine learning (ML) techniques are enjoying rapidly increasing adoptio...
Data-driven analysis is important in virtually every modern organization...
Optimizing the physical data storage and retrieval of data are two key
d...
Data replication is crucial in modern distributed systems as a means to
...
In this paper, we present STAR, a new distributed in-memory database wit...
In this paper, we present STAR, a new distributed and replicated in-memo...
Thanks to the rapid proliferation of connected devices, sensor-generated...
As neural networks become widely deployed in different applications and ...
Many database columns contain string or numerical data that conforms to ...
Four key processes in data integration are: data preparation (i.e.,
extr...
Data analytics applications combine multiple functions from different
li...
A polystore system is a database management system (DBMS) composed of
in...