Precision public health is an emerging practice to more granularly predict and understand
public health risks and customize treatments for more specific and homogeneous …

Health care systems generate a huge volume of different types of data. Due to the
complexity and challenges inherent in studying medical information, it is not yet possible to …

As of the time of this writing, our HICSS-46 proceedings article has enjoyed over 520 Google
Scholar citations. We have published several HICSS proceedings, articles and a book on …

This chapter explores the rise of “big data” and the computational strategies, both hardware
and software, that have evolved to deal with this paradigm. Starting with the concept of data …

Combining query processing techniques with data quality management approaches
enables enforcement of quality constraints, such as timeliness, accuracy and completeness …

Over the last years, Linked Data has grown continuously. Today, we count more than 10,000
datasets being available online following Linked Data standards. These standards allow …

The problem of how to compare empirical graphs is an area of great interest within the field
of network science. The ability to accurately but efficiently compare graphs has a significant …

As data are being generated at an incredible speed and scale, the market of data that aims
to fully discover the value of data is becoming increasingly important. Data evaluation is a …

Transit of wasteful materials within the European Union is highly regulated through a system
of permits. Waste processing costs vary greatly depending on the waste category of a permit …

While we are witnessing rapid growth in data across the sciences and in many applications,
this growth is particularly remarkable in the medical domain, be it because of higher …