COMP422/522B 2009 Online Material: Relational Data Mining

Course outline

Test info

A test from 2007.
This year's test will be similar, but longer (two hours instead of one).

The test will be OPEN book, run from 4-6pm in GB13, on Monday, 12th October 2009.

Project specification

Project
Breiman's original Bagging paper
Bagging at Wikipedia

Lecture times and location

This class runs Monday 4-6pm in GB.13
Moodle

Text book

Luc de Raedt: Logical and Relational Learning

Lecture notes:

  1. Chapter 1: General Introduction
  2. Chapter 2: Introduction to Logic
  3. Chapter 3: Learning as Search
  4. Chapter 4: Representation
  5. Chapter 5: Generality and Logical entailment
  6. Chapter 6: Upgrading (Draft)
  1. Chapter 7: Inducing Theories
  2. Chapter 8: Probabilistic Logical Learning (aka SRL Statistical Relational Learning)
  3. Chapter 9: Kernels and Distances for Structured Data
  4. Chapter 10: Computational Aspects Logical and Relational Learning
  5. Chapter 11: Lessons Learned

Foil

Quinlan's Foil paper
Quinlan's personal home page
linux: /home/ml/522/foil
Propositional Association Rules