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Course Co-ordinated by IIT Kharagpur
Coordinators
 
Prof. Pabitra Mitra
IIT Kharagpur

 

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Data mining is study of algorithms for finding patterns in large data sets. It is an integral part of modern industry, where data from its operations and customers are mined for gaining business insight. It is also important in modern scientific endeavors. Data mining is an interdisciplinary topic involving, databases, machine learning and algorithms. The course will cover the fundamentals of data mining. It will explain the basic algorithms like data preprocessing, association rules, classification, clustering, sequence mining and visualization. It will also explain implementations in open source software. Finally, case studies on industrial problems will be demonstrated.

Week

Topics

1.

†Introduction, Data Preprocessing

2.


Association Rule Mining, Classification Basics

3.


Decision Tree, Bayes Classifier, K nearest neighbor

4.


Support Vector Machine, Kernel Machine

5.


Clustering, Outlier detection

6.


Sequence mining

7.


Evaluation, Visualization.

8.


Case studies

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1. Introduction to Data Mining, Tan, Steinbach and Vipin Kumar, Pearson Education, 2016 
2. Data Mining: Concepts and Techniques, Pei, Han and Kamber, Elsevier, 2011 


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