Knowledge Mining and Big Data, 5 cr

Core content

• Concept Description
• Mining Association Rules
• Descriptive Models
• Predictive Models

Complementary knowledge

• Data preprocessing Data Generalization Summarization-Based Characterization Analyzing of Attribute Relevance
• Mining Single-Dimensional Boolean Association Rules, and Multilevel Association Rules, and Multidimensional Association Rules Correlation Analysis
• Cluster Analysis Describing Data by Probability Distributions and Densities
• Regression models Stochastic models Predictive models for classification Models for structured data

Specialist knowledge

• Parametric models Nonparametric models