Optimizing the confidence bound of count-min sketches to estimate the streaming big data query results more precisely.
Ruixin GuoErkang XueFeng ZhangGansen ZhaoGuangzhi QuPublished in: Computing (2020)
Keyphrases
- big data
- data management
- data analysis
- database
- cloud computing
- query processing
- response time
- business intelligence
- data processing
- sketch based image retrieval
- big data analytics
- knowledge discovery
- data intensive
- data science
- social media
- massive data
- high volume
- confidence estimates
- data streams
- data warehousing
- data sources
- databases
- social computing
- unstructured data
- query execution
- range queries
- vast amounts of data
- health informatics
- association rules
- keywords
- data driven decision making
- keyword search
- information processing
- case based reasoning
- end users