Online Fake News characterized by falsehood and ambiguity is significantly shaking up various
aspects of social, economic, and political life across the globe. In addition, it can also be …

There is a growing need for ad-hoc analysis of extremely large data sets, especially at internet
companies where innovation critically depends on being able to analyze terabytes of data …

We describe PNUTS, a massively parallel and geographically distributed database system
for Yahoo!'s web applications. PNUTS provides data storage organized as hashed or ordered …

Increasingly, organizations capture, transform and analyze enormous data sets. Prominent
examples include internet companies and e-science. The Map-Reduce scalable dataflow …

Investigations of white collar crimes such as corruption are often hindered by the lack of
information or physical evidence. Information and communication technologies (ICT), by virtue of …

Recent trends towards database outsourcing, as well as concerns and laws governing data
privacy, have led to great interest in enabling secure database services. Previous …

Continuous queries in a Data Stream Management System (DSMS) rely on time as a basis
for windows on streams and for defining a consistent semantics for multiple streams and …

Traditional database management systems are best equipped to run one-time queries over
finite stored data sets. However, many modern applications such as network monitoring, …

The big data revolution happening in and around 21st century has found a resonance with
banking firms, considering the valuable data they’ve been storing since many decades. This …

In sensor networks, data acquisition frequently takes place at low-capability devices. The
acquired data is then transmitted through a hierarchy of nodes having progressively increasing …