The zip file contains both real and artificial datasets having different concept drift type and imbalance ratio. The real datasets are usually used as a benchmark for concept drift problems and they a
The amount of data and behavior changes in society happens at a swift pace in this interconnected world. Consequently, machine learning algorithms lose accuracy because they do not know these new patt
This package contains the datasets, source codes (in Python), and complete tables with the results reported in the work entitled Evaluation of Concept Drift Detection Approaches for Stock Market Forec
Real life business processes change over time, in both planned and unexpected ways. These changes over time are called concept drifts and its detection is a big challenge in process mining since the i