15CS331E - DATA MINING AND ANALYTICS
Instructor
Place |
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Course Outcome
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Syllabus
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At the end of the course, students will be able to
- Understand the concepts of Data Mining
- Familiarize with association rule mining
- Familiarize various classification algorithms
- Understand the concepts of Cluster analysis
- Implement the Data mining concepts with various domains
Study Materials |
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UNIT I: Introduction Introduction to Data Mining – Kinds of Data Data mining Functionalities – Interesting Patterns Task Primitives Issues in Data Mining Data Preprocessing Download Materials_1 | Download Materials_2 UNIT II: Association Rules Basic Concepts Frequent Item Set Mining Methods Association Rules Correlation analysis Download Materials |
Text Book |
Jiawei Han and Micheline Kamber,“Data Mining – Concepts and Techniques”, Second Edition, Morgan Kaufmann Publishers, 2006. |