Important Dates for 20 Marks Assignment Evaluation :
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06/10/17 Review of dataset and the possible application of the given
algorithm on the dataset.
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27/10/17 Review of progress related to data preprocessing of the dataset.
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17/11/17 Demonstration of the final implementation of the given algorithm.
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24/11/17 Submission of hard and soft copy of the report. (Report format will
be given later)
II internal Syllabus
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​Unit 2
​ASSOCIATION RULE MINING – Correlation Analysis – Constraint Based Association Mining.
CLASSIFICATION AND PREDICTION Basic Concepts - Decision Tree Induction - Bayesian Classification – Rule Based Classification
Unit 3
CLASSIFICATION AND PREDICTION Classification by Back propagation – Support Vector Machines – Associative Classification – Lazy Learners – Other Classification Methods – Prediction. C4.5 Algorithm Description- C4.5 Features - Two Illustrative Examples.
Unit 4
CLUSTERING AND TRENDS IN DATA MINING Cluster Analysis - Types of Data (till slide no. 37 only)