WITH EFFECT FROM THE ACADEMIC YEAR 2013-2014

 

CS 481

DATA MINING LAB

 

Instruction                                                                                                                                                                                         3  Periods per week

Duration of University Examination                                                                                                                                                     3  Hours

University Examination                                                                                                                                                                       50 Marks

Sessional                                                                                                                                                                                           25 Marks

 

1.Implement the following Multidimensional Data Models

 

     i.Star Schema

 

 

 

    ii.Snowflake Schema

 

 

 

   iii.Fact Constellation

 

 

 

 2.Implement Apriori algorithm to generate frequent Item Sets

 

 3.Implement the following clustering algorithms

 

       i.K-means

 

 

 

      ii.K-mediods

 

 

 4.Implement the following classification algorithms

 

       i.Decision Tree Induction

 

 

      ii.KNN

 

 

 5.Perform data Preprocessing using WEKA

 

 6.Perform Discritization of data using WEKA

 

 7.Classification algorithms using WEKA

 

 8.Apriori algorithm using WEKA

 

 9.Perform data transformations using an ETL Tool

 

 10.A small case study involving all stages of KDD. (Datasets are available online like UCI Repository etc.)