People Innovation Excellence

DATA MINING (2/2 Credits)

Learning Outcomes:

On successful completion of this course, students will be able to:  Explain concept of data and data pre processing; Explain concept of data warehouse and online analytical processing; Apply various basic and advanced data mining technique; Apply data mining trends and research.

Topics :

  1. Introduction;
  2. Getting to Know Your Data;
  3. Data Preprocessing;
  4. Data Warehousing and On-line Analytical Processing;
  5. Data Cube Technology;
  6. Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods;
  7. Advanced Pattern Mining;
  8. Classification: Basic Concepts;
  9. Classification: Advanced Methods;
  10. Cluster Analysis: Basic Concepts and Methods;
  11. Cluster Analysis: Advanced Methods;
  12. Outlier Analysis;
  13. Data Mining Trends and Research Frontiers.

Published at : Updated

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