Module 06-20122 (2011)

• introduce some of the fundamental techniques and principles of statistical pattern analysis and data mining
• investigate some common text and high-dimensional data mining algorithms and their applications
• present the fields of data mining and pattern analysis in the larger context of learning systems

• explain principles and algorithms for dimensionality reduction and clustering of vectorial data
• explain principles and techniques for mining textual data
• demonstrate understanding of the principles of efficient web-mining algorithms
• demonstrate understanding of broader issues of learning and generalisation in pattern analysis and data mining systems

2 hrs of lectures per week

• Sessional: 1.5 hr examination (100%).

1. Overview. Various forms of pattern analysis and data mining
2. Basics of vector and metric spaces, probability theory and statistics
3. Analysing vectorial data
   • Dimensionality reduction techniques
   • Clustering techniques
   • Classification and regression techniques
4. Analysing structured data
   • Mining textual data
   • Other structured data types
5. Searching the web