Financial industries are undergoing a digital transformation of their products, services,
overall business models. Part of this digitalization in banking aims at automating most of the …

A wide variety of real-world problems, including those involving data stream scenarios, has
been solved by agents based on adaptive learning techniques. The success of such agents …

The generation of huge data with high velocity creates alteration in the distribution of the
stream data, which is defined as the concept of drifts. The concept drifts negatively influence …

Over the past decades, technological advancements have included the production of a huge
number of data streams. Data streams comprise large amounts of partially sequenced …

Data streams are potentially large and thus data stream classification tasks are not strictly
stationary. In the process of data analysis, the fundamental structure may vary over time and …

A great variety of real-world problems can be satisfactorily solved by automatic agents that
use adaptive learning techniques conceived to deal with data stream scenarios. The …

Digitalization in banking has been an ongoing trend since many years aiming at automating
most of the manual work in payment handling and integrating work flows of the involved …