School of Computer Science

Module 20122 (2011)

Module description - Intelligent Data Analysis

The Module Description is a strict subset of the Syllabus Page.

Module Title Intelligent Data Analysis
School School of Computer Science
Module Code 06-20122
Level 3/H
Member of Staff Peter Tino
Semester Semester 2 - 10 credits
Delivery

2 hrs of lectures per week
Outcomes

On successful completion of this module, the student should be able to:

  • 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
Assessment
  • Sessional: 1.5 hr examination (100%).
Texts
TitleAuthorPublisher
Applied Data Mining: Statistical Methods for Business and Industry Paolo Giudici John Wiley & Sons
Data Mining: Introductory and Advanced Topics Margaret H. Dunham Prentice Hall
Principles of Data Mining David J. Hand, Heikki Mannila & Padhraic Smyth MIT Press
The Elements of Statistical Learning: Data Mining, Inference, and Prediction Trevor Hastie, Robert Tibshirani, & Jerome Friedman Springer