In the real world, data streams are ubiquitous—think of network traffic or sensor data. Mining
patterns, eg, outliers or clusters, from such data must take place in real time. This is …

In recent years, technology has continued to rapidly evolve, resulting in the generation of
high-dimensional data streams. Combining the streaming scenario and high dimensionality …

The continuous progress in technology is leading to the widespread existence of data
streams with high dimensions. Identifying outliers in this particular scenario presents a …

Estimating dependencies from data is a fundamental task of Knowledge Discovery.
Identifying the relevant variables leads to a better understanding of data and improves both …

The identification of relevant features, ie, the driving variables that determine a process or
the properties of a system, is an essential part of the analysis of data sets with a large …

Data science is a rather novel paradigm with increasing relevance not only for researchers
but also for industry. In a nutshell, the task of solving problems using data could describe …

The volumes of data that are collected and analyzed in all aspects of life rise steadily and
offer numerous challenges and opportunities. When analyzing large volumes of data, two …

Designing materials with desired properties is essential to develo** new materials for
today's challenges. Historically, new materials have been discovered through trial and error …

Data Mining–known as the process of extracting knowledge from massive data sets–leads to
phenomenal impacts on our society, and now affects nearly every aspect of our lives: from …