300624 (v.2) Data Warehousing, OLAP and Data Mining 601

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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.