Data mining and warehousing introduces the following concepts: why data mining? cycles of data mining, the various cycles in practice, data mining methodology and measurement of the effectiveness of data mining. The course also covers data warehouse concepts, gradual changes in computing, dynamic reports, data marts, operational data stores and data warehouse cost-benefit analysis. Various data mining techniques will be introduced along with: market based analysis, clustering, link analysis, decision trees, artificial neural networks, genetic algorithms, data mining, corporate data warehouses, OLAPs, how to select the right tool for the job and how to put data mining to work. The course will also present data warehouse concepts: gradual changes in computing, dynamic reports, data marts, operational data stores and data warehouse cost-benefit analysis. Other concepts such as warehousing strategy, warehouse management and support processes, data warehouse planning, data warehouse implementation, data warehouse maintenance and evolution, warehouse applications and warehouse software and recent warehouse trends will be covered as well. Students will be trained on known and proven data mining software, such as: Matryx98, Cart, Megaputer PolyAnalyst, KnowledgeAccess and Cognos Power Play.
Course ID: CIS 517
الساعات المعتمدة | نظري | عملي | مختبرات | محاضرة | ستوديو | ساعات الاتصال | المتطلبات السابقة | 3 | 2 | 1 | 3 | CS 221 / CIS 321 |
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