ATConf: auto-tuning high dimensional configuration parameters for big data processing frameworks.
Hui DouKang WangYiwen ZhangPengfei ChenPublished in: Clust. Comput. (2023)
Keyphrases
- big data
- high dimensional
- high volume
- data processing
- parameter space
- data analysis
- cloud computing
- data intensive computing
- data intensive
- parameter settings
- fine tuning
- social media
- real time
- data management
- dimensionality reduction
- vast amounts of data
- knowledge discovery
- data visualization
- unstructured data
- business intelligence
- massive data
- fine tuned
- information processing
- big data analytics
- low dimensional
- data warehousing
- information technology
- decision support system
- feature space
- data science
- expert systems
- high dimensional data