Program of the HIV Data Management and Data Mining Workshop.

The HIV Data Management and Data Mining Workshop.

Course Material (Presentations and links)

Introduction - Program - Material and Presentation - Selected Participants - Accomodation Info

PROGRAM:

Introduction to Data Mining:
1) Basic concepts of datamining. Professor Hendrik Blockeel 2) Introduction to Weka Anneleen Van Assche	Presentation Hand Outs [PDF file] Presentation Hand Outs [PDF file]
Prediction (Classification and Regression) Analysis:
Classification analysis for therapy response. Practice continued. Anneleen Van Assche, Celine Vens	Presentation Hand Outs [PDF file]
Association Analysis:
Detecting associations between mutations. Theory and practice using WEKA Dr. Jan Ramon	Presentation Hand Outs [PDF file]
Bayesian Networks:
Bayesian networks. Theory and practical Koen Deforche	Presentation Hand Outs [PDF file]
Using Weka for mining HIV data: A small tutorial
Using Weka for mining HIV data: A small tutorial Anneleen VanAssche, Jan Ramon Recipe to use Weka for classification. Koen Deforche	Text [PDF file]
Links to software and data mining resources:
Weka sofware (for Windows, Mac, and Linux/Unix) The B- Course Bayesian web site.

For more information and applications to:

Dr. Tulio de Oliveira
Molecular Virology and Bioinformatics Unit.
Africa Centre for Health and Population Studies
DDMRI, Nelson Mandela School of Medicine.
UKZN, Durban, South Africa.
Email: toliveira@mrc.ac.za
Tel: +27 (0) 31 260 40 14
Fax: +27 (0) 31 260 40 15

Michelle Gordon
Molecular Virology and Bioinformatics Unit.
Africa Centre for Health and Population Studies
DDMRI, Nelson Mandela School of Medicine.
UKZN, Durban, South Africa.
Email: tarinm@ukzn.ac.za
Tel: +27 (0) 31 260 40 14
Fax: +27 (0) 31 260 40 15

Funded by the: Flanders Bi-Lateral Cooperation, the National Bioinformatics Network and the Wellcome Trust.

Structure and computer support provided by the South African Medical Research Council (MRC).