A Novel Optimized Case-Based Reasoning Approach With K-Means Clustering and Genetic Algorithm for Predicting Multi-Class Workload Characterization in Autonomic Database and Data Warehouse System.
Nusrat ShaheenBasit RazaAhmad Raza ShahidHani AlquhayzPublished in: IEEE Access (2020)
Keyphrases
- multi class
- data warehouse
- query workloads
- database
- case based reasoning
- databases
- data management
- data warehousing
- decision support system
- data marts
- business intelligence
- decision support
- data warehouse design
- multi class classification
- sql server
- data sources
- support vector machine
- binary classification
- pairwise
- metadata
- data integration
- multidimensional data
- data mining
- data cube
- feature selection
- data warehouse environments
- multiple classes
- view maintenance
- cost sensitive
- database management systems
- relational databases
- multi class classifier
- olap queries
- materialized views
- query processing
- multi class boosting
- requirement analysis
- star schema
- error correcting output codes
- physical design
- data model
- xml documents
- on line analytical processing
- binary classifiers
- response time
- query execution
- database systems
- data sets