Download www.cs.tcd.ie - School of Computer Science and Statistics

School of Computer Science and Statistics
ECTS Module Descriptor
Academic Year
Module Code
Module Title
Pre-requisites
2011-2012
ST4003
Introduction to Data Mining
ST3007 – Multivariate Analysis and Applied Forecasting
ECTS
Chief Examiner
10
Dr. Myra O’ Regan
Teaching Staff
Dr. Myra O’ Regan
Delivery
Aims
Learning Outcomes
4 lectures and 1 lab per week over MT.
The aim of the course is to introduce the students to a set of techniques
including classification trees, neural networks, ensemble methods and
support vector machines. Methods to evaluate models will also be
discussed.
To understand the theory and be able to apply the following
techniques to a set of data
Classification trees
Neural Networks
Association rules
Ensemble methods
Random Forests
Boosting
Support vector machines
Evaluation of models
Syllabus
Introduction
Overview
Handling Missing data
Classification Trees
Association Rules
Neural Nets
Support vector machines
Evaluating Models
Ensemble methods
Random Forests
Boosting methods
Assessment
Students will be required to carry out a project employing the above
techniques on a set of data using R
School of Computer Science and Statistics
ECTS Module Descriptor
Bibliography
Ayres, I. Supercrunchers, How anything can be predicted, John Murray,
2007.
Berry M. J, A., & Linoff, G. Data Mining Techniques 3rd Edition , John
Wiley & sons, 1997
Bishop, Christopher, Pattern Recognition and Machine Learning, Springer
Science, 2006.
Breiman, L., Friedman, J. H. Olshen, R. A. & Stone, C. J. Classification and
regression Trees, Chapman and Hall,1984
Davenport, T.H. Harris, J.G. Competing on Analytics, The New Science of
Winning, Harvard Business School Press, 2007.
Hastie Trevor, Tibshirani, R., Friedman, J. The Elements of Statistical
Learning, 2nd Edition, Springer Series, 2009
Ripley, B. D. Pattern recognition and Neural Networks, Cambridge
University Press, 1996
Tan, Pang-Ning Steinbach, M. Kumar, V. Introduction to Data Mining,
Pearson, 2006
Webb, Andrew, Statistical Pattern Recognition 2nd Edition, Wiley, 2002.
Website