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Welcome to CMPSC 54: Data Mining.
As described in the student handbook: This course is designed to familiarize individuals with current and emerging data mining technologies using the Internet, database software, and other application software packages as needed for project completion. Data mining knowledge topics will include the process of model building. Students will create a representative model based on an existing dataset to help understand trends, patterns, and correlations, as well as forming predictions based on historical outcomes. Students will be introduced to the tools and technologies needed to research and analyze data, resulting in a strategic decision making, marketing plan development, goal setting and identifying business opportunities. (CSU) Credit may be earned for either CMPSC 54 or BUSAD 54, but not both.
Handouts:
Schedule: Section 1 Introduction Wk 1: Introduction Wk 2: Uses of Data Mining Wk 3: Abuses of Data Mining (data dredging) Section 2 Data Mining Essentials Wk 4: Measures (Metrics, Indicators) Wk 5: Data Preparation Wk 6: Classification [Predictive] Wk 7: Clustering [Descriptive] Wk 8: Association Rule Discovery [Descriptive] Wk 9: Sequential Pattern Discovery [Descriptive] Wk 10: Regression [Predictive] & Deviation Detection [Predictive] Section 3: Applications Wk 11: Web Mining Wk 12: Business Intelligence (BI) Wk 13: Customer Relations Management (CRM) Wk 14: Fraud Detection & Law Applications Wk 15: Bioinformatics & Other Scientific Applications Wk 16: Finals |
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