Using machine learning to optimize parallelism in big data applications.
Álvaro Brandón HernándezMaría S. PérezSmrati GuptaVictor Muntés-MuleroPublished in: Future Gener. Comput. Syst. (2018)
Keyphrases
- massively parallel
- big data
- machine learning
- data science
- data analysis
- knowledge discovery
- cloud computing
- big data analytics
- commodity hardware
- data processing
- vast amounts of data
- high volume
- data intensive
- business intelligence
- data management
- unstructured data
- predictive modeling
- data mining
- statistical and machine learning
- information extraction
- social media
- artificial intelligence
- health informatics
- massive data
- decision support
- natural language processing
- parallel execution
- statistical learning
- text mining
- parallel processing
- data warehousing
- decision support system
- supervised learning
- relational databases
- data driven decision making