[HTML][HTML] Process-oriented stream classification pipeline: A literature review

L Clever, JS Pohl, J Bossek, P Kerschke… - Applied Sciences, 2022 - mdpi.com
Featured Application Nowadays, many applications and disciplines work on the basis of
stream data. Common examples are the IoT sector (eg, sensor data analysis), or video …

Big data analytics and preprocessing

N Shehab, M Badawy, H Arafat - Machine learning and big data analytics …, 2021 - Springer
Big data is a trending word in the industry and academia that represents the huge flood of
collected data, this data is very complex in its nature. Big data as a term used to describe …

A hybrid block-based ensemble framework for the multi-class problem to react to different types of drifts

OA Mahdi, E Pardede, N Ali - Cluster Computing, 2021 - Springer
Data stream mining is an important research topic that has received increasing attention due
to its use in a wide range of applications, such as sensor networks, banking, and …

[HTML][HTML] Cross-Version Software Defect Prediction Considering Concept Drift and Chronological Splitting

MA Kabir, AU Rehman, MMM Islam, N Ali, ML Baptista - Symmetry, 2023 - mdpi.com
Concept drift (CD) refers to a phenomenon where the data distribution within datasets
changes over time, and this can have adverse effects on the performance of prediction …