Mining Skyline Patterns from Big Data Environments based on a Spark Framework

摘要

Simultaneously, the application of resilient distributed datasets (RDD) in cloud computing provides a good environment for data analysis of big data. In addition, the combination of Machine Learning (ML) algorithms of the edge computing paradigm and the SFUP-SP algorithm may be able to also be used to improve local computing capabilities and speed up data analysis and user decision-making.