People Innovation Excellence

SCIENTIFIC COMPUTATION (4 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to:Explain data mining and statistical data mining concept; Demonstrate data exploration; Demonstrate building models; Interpret the results of exploration data and building models; Apply data mining in R and Rattle Software

Topics:

  1. Introduction to Data Mining;
  2. Exploration;
  3. Building Models : Cluster Analysis;
  4. Building Models : Association Analysis;
  5. Building Models : Decision Trees;
  6. Building Models : Random Forests;
  7. Building Models : Boosting;
  8. Building Models : Support Vector Machines;
  9. Building Models : Neural Networks

 

 


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