Automated tuning of query degree of parallelism via machine learning.
Zhiwei FanRathijit SenParaschos KoutrisAws AlbarghouthiPublished in: aiDM@SIGMOD (2020)
Keyphrases
- machine learning
- database
- user queries
- pattern recognition
- query processing
- keywords
- response time
- machine learning algorithms
- artificial intelligence
- query evaluation
- relevance feedback
- data mining
- semi automated
- parallel processing
- machine learning methods
- active learning
- query formulation
- explanation based learning
- text mining
- natural language processing
- support vector machine
- database queries
- knowledge representation
- query execution
- result set
- retrieval method
- search queries
- inductive logic programming
- knowledge acquisition
- data objects
- range queries
- multi dimensional
- user interaction
- query expansion