Here we comment about the works that the original paper published in the 2000 Brazilian
Symposium on Databases fostered in the Database and Images Group–GBdI, what by their …

This paper presents a software toolkit that can be used to analyze event data streams in real-
time. It has a specific focus on stochastic analysis of business processes, based on event …

In the last few decades, huge amounts of climate data have been gathered and stored by
several institutions. The analysis of these data has become an important task due to …

Fractal theory and analysis have been widely used in many areas, including health care,
data mining, economics, urban studies, geology, geography, chemistry, astronomy, and …

Research on global warming and climate changes has attracted a huge attention of the
scientific community and of the media in general, mainly due to the social and economic …

Clustering data streams is an important task in data mining research. Recently, some
algorithms have been proposed to cluster data streams as a whole, but just few of them deal …

A data stream is a flow of data produced continuously along the time. Storing and analyzing
such information become challenging due to exponential growth of the data volume …

Despite currents migration trends towards population centers, agriculture remains one of the
most important staples of human culture, as these centers are dependent on a constant food …

Given a data stream with many attributes and high frequency of events, how to cluster similar
events? Can it be done in real time? For example, how to cluster decades of frequent …

A data stream is a flow of data produced continuously along the time. Storing and analyzing
such information become challenging due to exponential growth of the data volume …