Abstract: Big data clustering on Spark is a practical method that makes use of Apache Spark’s distributed computing capabilities to handle clustering tasks on massive datasets such as big data sets.
Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...