When building datasets, one needs to invest time, money and energy to either aggregate more data or to improve their quality. The most common practice favors quantity over quality without necessarily quantifying the trade-off that emerges. In this work, we study data-driven contextual...

In dynamic environments, making classification decisions based on classical intelligent decision support systems is a challenge, as the classification performance of decision-making and the time-cost of learning need to be considered simultaneously. Moreover, many tasks of classification...