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300624 (v.2) Data Warehousing, OLAP and Data Mining 601
Area: | Department of Computing |
Contact Hours: | 5.0 |
Credits: | 25.0 |
Lecture: | 1 x 10 Days Quarterly |
Practical: | 1 x 10 Days Quarterly |
| Data warehousing evolution and definition, architecture, modelling concepts, data extraction and scrubbing. Mapping and integration of heterogeneous data sources. Current products and practices. On line analytical processing (OLAP). Models and techniquesfor OLAP. Performance considerations. From OLAP to decision support systems (DSS). Data mining goals, models and tools. Association rules, classification and clustering. Algorithms for data mining. Integration of knowledge and data mining with database functions. User driven data mining. Integration of data warehousing, OLAP and data mining. |
AvailabilityAvailability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information.
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