Combining Two Worlds: MonetDB with Multi-Dimensional Index Structure Support to Efficiently Query Scientific Data.
Paul BlockhausDavid BroneskeMartin SchälerVeit KöppenGunter SaakePublished in: SSDBM (2020)
Keyphrases
- multi dimensional
- index structure
- bitmap indices
- multi dimensional data
- scientific data
- range queries
- r tree
- indexing techniques
- query processing
- access methods
- efficient query processing
- data distribution
- data structure
- main memory
- indexing schemes
- indexing structure
- disk accesses
- data management
- inverted index
- bitmap indexes
- efficient processing
- similarity queries
- spatial index
- cost model
- database
- massive amounts of data
- b tree
- high dimensional
- scientific information
- data cube
- kd tree
- database management systems
- data collection
- scientific disciplines
- machine learning
- provenance information
- query execution
- spatial databases
- tree structure
- nearest neighbor
- indexing methods
- high energy physics
- data analysis
- training data
- index scheme
- pruning power
- scientific data sets