On the Use of In-Memory Analytics Workflows to Compute eScience Indicators from Large Climate Datasets.
Alessandro D'AncaCosimo PalazzoDonatello EliaSandro FioreIoannis BistinasKristin BöttcherVictoria BennettGiovanni AloisioPublished in: CCGrid (2017)
Keyphrases
- data processing
- climate data
- learning analytics
- long term
- data management
- memory requirements
- big data
- computing power
- memory usage
- machine learning
- social networks
- limited memory
- data analysis
- business processes
- memory space
- predictive modeling
- statistical methods
- synthetic and real datasets
- workflow management systems
- database
- business intelligence
- case study
- web services
- data mining