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.)
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