Learning from Structured Data
Lecturer: Dr. Oliver Ray
Contact: oray@cs.bris.ac.uk
Overview:
This unit studies the application of symbolic machine learning to structured data:
- The first half gives a theoretical overview of represention settings and reasoning types
- The second half gives a practical introduction to current tools and some applications
Attendance:
| Activity | Day | Time | Room |
|---|---|---|---|
| Lectures | Monday | 14:00-15:00 | 4.01 |
| Tutorials | Tuesday | 14:00-15:00 | 4.01 |
| Labs | Tuesday | 10:00-12:00 | 2.11 |
Assessment:
| Component | Contribution | Due |
|---|---|---|
| Assignment 1 | 20% | 31st March, 2011 |
| Assignment 2 | 30% | 20th May, 2011 |
| Examination | 50% | 3rd June, 2011 (14:15-16:15, Victoria Rooms) |
Reading:
| Title | Author | Date | Status |
|---|---|---|---|
| +Logical and Relational Learning | L. de Raedt | 2008 | ESSENTIAL |
| Relational Data Mining | S. Dzeroski and N. Lavrac | 2001 | Recommended |
| Foundations of Inductive Logic Programming | S. Nienhuys Cheng and R. de Wolf | 1997 | Recommended |
| *Inductive Logic Programming: Techniques and Applications | N. Lavrac and S. Dzeroski | 1994 | Recommended |
+ hardcopy available from library
* pdf available from authors
Syllabus:
| Week 15 (14 Feb) | Lecture 1 | Introduction | |
| Week 16 (21 Feb) | Lecture 2 | Foundations | |
| Week 17 (28 Feb) | Lecture 3 | Represenations | |
| Week 18 (7 Mar) | Lecture 4 | Reasoning | CWK1 set |
| Week 19 (14 Mar) | Lecture 5 | PROGOL | |
| Week 20 (21 Mar) | Lecture 6 | ACE | CWK2 set |
| Week 21 (28 Mar) | Lecture 7 | CWK1 due | |
| Week 22 (3 May) | Lecture 8 | PRISM | |
| Week 23 (9 May) | Lecture 9 | Propositionalisation | |
| Week 24 (16 May) | Lecture 10 | IBC | CWK2 due |
Feedback: Individual comments on all marked coursework
Links: MS51