Data Mining (3160714)

Unit-1:  Introduction to data mining (DM)

Unit-2:  Data Pre-processing

Unit-3:  Concept Description, Mining Frequent Patterns, Associations and Correlations

Unit-4:  Classification and Prediction

Unit-5:  Cluster Analysis

Unit-6:  Web mining and other data mining

After learning the course the students should be able to:

• Perform the preprocessing of data and apply mining techniques on it.
• Identify the association rules, classification, and clusters in large data sets.
• Solve real world problems in business and scientific information using data mining.
• Use data analysis tools for scientific applications.
• Implement various supervised machine learning algorithms.