Windowing as a Sub-Sampling Method for Distributed Data Mining

• Published in: Mathematical and computational applications Vol. 25; no. 3; p. 39
• Main Authors: Martínez-Galicia, David, Guerra-Hernández, Alejandro, Cruz-Ramírez, Nicandro, Limón, Xavier, Grimaldo, Francisco
• Format: Journal Article
• Language: English
• Published: MDPI AG 30.06.2020
• Subjects: distributed data mining; sub-sampling; windowing

Windowing is a sub-sampling method, originally proposed to cope with large datasets when inducing decision trees with the ID3 and C4.5 algorithms. The method exhibits a strong negative correlation between the accuracy of the learned models and the number of examples used to induce them, i.e., the hi...