Towards Enabling Outlier Detection in Large, High Dimensional Data Warehouses.
Konstantinos GeorgoulasYannis KotidisPublished in: SSDBM (2012)
Keyphrases
- outlier detection
- data warehouse
- high dimensional
- high dimensional datasets
- data mining
- data warehousing
- knowledge discovery
- detection algorithm
- databases
- data management
- fraud detection
- dimensionality reduction
- data integration
- density ratio estimation
- data marts
- data cleaning
- data analysis
- data quality
- data cube
- business intelligence
- data streams
- star schema
- olap query processing
- on line analytical processing
- high dimensional data
- olap systems
- low dimensional
- detecting outliers
- data sources
- high dimensionality
- detect outliers
- multi dimensional
- query execution
- feature space
- similarity search
- data mining techniques
- multidimensional data
- association rules
- data points
- nearest neighbor
- high dimensional spaces
- fact table
- spatial outliers
- query workloads
- metadata
- principal component analysis