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Overview

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.

Syllabus

Week 1: Introduction, Data Preprocessing

Week 2: Association Rule Mining, Classification Basics

Week 3: Decision Tree, Bayes Classifier, K nearest neighbor

Week 4:Support Vector Machine, Kernel Machine

Week 5: Clustering, Outlier detection

Week 6: Sequence mining

Week 7: Evaluation, Visualization.

Week 8: Case studies

Taught by

Pabitra Mitra

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