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

doi:10.1007/s10723-023-09653-2

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

2023-04-05

2

PRE

AI

DOI：10.1007/s10723-023-09653-2

Original

Original request for help

Save

Abstract

En 中文

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.

Keywords:

Data mining

Skyline frequent-utility pattern

Spark

Edge computing

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

Abstract

Journal

Organization