CS 533-3
Data Mining Techniques and Application
Catalog Description
This course will provide the techniques of data mining and knowledge discovery in databases. Fundamental principles and techniques of data mining are explained as well as their potential in Bioinformatics application. Major topic areas are: data preparation, association rule mining, data classification/prediction, data clustering, and web mining.
Prerequisite:
CS 430. or instructor consent
Course Outline
| Lectures | ||
| 1. | Introduction to Data Mining and Bioinformatics | 5 |
| 2. | Data Cleaning/Transformation/Preparation | 5 |
| 3. | Association Rule Mining | 5 |
| 4. | Classification/Prediction Techniques | 5 |
| 5. | Clustering Techniques | 5 |
| 6. | Web Mining and Search Engines | 5 |
| 7. | Data Mining Application in Bioinformatics
Data mining in DNA/protein sequence analysis Data mining for protein structure analysis Data mining in gene expression analysis Biomedical literature data mining |
10 |
| Total | 40 | |