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 2001 Semester:

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

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Information about prevous years: Spring 2000