CS 558
Data Mining

Description: Overview of Data Mining. Association rules, classification, clustering, regression, patterns, time series. Measuring predictive performance, efficiency, interestingness. Data preparation, data reduction. Mathematical solutions, statistical methods, distance solutions, decision trees, decision rules. Text mining, text categorization. Mining web logs. Case studies. Credit units: 3.

Spring'2000 Semester:

• Syllabus
• General Guidelines for Workshop Paper Review
• Workshop Paper Review Form
• Seminar Schedule
• Some Data Mining Resources on the Web
• Example Data Sets
• Data-Miner Software Kit

Grades

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