Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance.
Peter W. J. StaarPanagiotis Kl. BarkoutsosRoxana IstrateA. Cristiano I. MalossiIvano TavernelliNikolaj MollHeiner GiefersChristoph HagleitnerCostas BekasAlessandro CurioniPublished in: IPDPS (2016)
Keyphrases
- big data
- data intensive computing
- data intensive
- data management
- big data analytics
- data analysis
- high volume
- cloud computing
- dot product
- data processing
- unstructured data
- social media
- kernel function
- data visualization
- positive definite
- business intelligence
- positive semi definite
- massive data
- commodity hardware
- data science
- real world
- positive semidefinite
- data warehousing
- machine learning
- health informatics
- vast amounts of data
- massive datasets
- data analytics
- social computing
- reproducing kernel hilbert space
- kernel methods
- information systems
- predictive modeling
- grid environment
- data grids
- data mining