Course Instructor: Florin Radulescu

Syllabus:

• Introduction in Data mining.
• Data preprocessing.
• Association Rules & Sequential Patterns.
• Supervised learning.
• Unsupervised learning – Clustering.
• Partially supervised learning.
• Information integration.
• Link analysis.
• Data warehousing.
• Dimensional modeling.
• Building a data warehouse.