Challenges in benchmarking stream learning algorithms with real-world data

• Published in: Data mining and knowledge discovery Vol. 34; no. 6; pp. 1805 - 1858
• Main Authors: Souza, Vinicius M. A., dos Reis, Denis M., Maletzke, André G., Batista, Gustavo E. A. P. A.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.11.2020
• Subjects: Academic Surveys and Tutorials; Artificial Intelligence; Chemistry and Earth Sciences; Computer Science; Data Mining and Knowledge Discovery; Information Storage and Retrieval; Physics; Statistics for Engineering; Data stream; Benchmark data; Concept drift; Drift detection; Classification

Streaming data are increasingly present in real-world applications such as sensor measurements, satellite data feed, stock market, and financial data. The main characteristics of these applications are the online arrival of data observations at high speed and the susceptibility to changes in the dat...