A Method to Identify Spark Important Parameters Based on Machine Learning.
Tianyu LiShengfei ShiJizhou LuoHongzhi WangPublished in: ICPCSEE (1) (2018)
Keyphrases
- machine learning
- significant improvement
- dynamic programming
- clustering method
- similarity measure
- preprocessing
- cost function
- support vector machine
- input data
- parameter selection
- linear model
- high precision
- synthetic data
- parameter estimation
- experimental evaluation
- feature selection
- unsupervised learning
- image registration
- machine learning methods
- parameter values