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sqit3033: knowledge acquisition in decision making
This course introduces student to the theories and applications of data mining. The topics discussed include data warehouse; knowledge discovery process; pre-processing data; data mining tasks such as association rule, classification, prediction and clustering and knowledge acquisitions application in decision making.
lecture notes
Reading materials:
Chapter 9 : Model Evaluation And Implementation
- refer to Enterprise Miner course notes (hard copy)
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OLAP Exercise | Data File : CreditCardPromotion|
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Group Assignment 2 :| Instruction | Data File : CardiologyCategorical |
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Article : Data Mining & OLAP
Chapter 8 : Predictive Modeling Using Rough Set
Chapter 12 : Data mining ethics
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