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Program Data-Mining Course
MICC-IKAT, Maastricht University
Maastricht, The Netherlands
July 3 – 7, 2006
Monday July 3
09:00 – 09:30
Registration
Tongersestraat 6, room 0.002
09:30 – 10:00
Official Opening (Eric Postma)
Tongersestraat 6, room 0.002
10:00 – 12:00
Lecture: Knowledge discovery process (Jeroen Donkers)
Tongersestraat 6, room 0.002
12:00 – 14:00
Lunch
14:00 – 15:15
Lecture: Decision-tree induction and rule induction (Evgueni Smirnov)
Tongersestraat 6, room 0.002
15:15 – 15:45
Coffee / tea break
Tongersestraat 6, room 0.002
15:45 – 17:00
Lab 1: Introduction to the Weka data-mining environment.
Experiments with decision trees and decision rules on simple datasets
(Evgueni Smirnov)
Tongersestraat 6, room 3.002
Tuesday July 4
09:00 – 10:15
Lecture: Evaluation of learning models (Ida Sprinkhuizen-Kuyper)
Tongersestraat 6, room 0.002
10:15 – 10:45
Coffee/tea break
Tongersestraat 6, room 0.002
10:45 – 12:00
Lab 2: Evaluation of decision
Sprinkhuizen-Kuyper)
Tongersestraat 6, room 3.002
12:00 – 14:00
Lunch
14:00 – 15:15
Lecture:
Data
preparation:
selection,
transformation (Ida Sprinkhuizen-Kuyper)
Tongersestraat 6, room 0.002
15:15 – 15:45
Coffee/tea break
Tongersestraat 6, room 0.002
trees
and
decision
rules
pre-processing,
(Ida
and
15:45 – 17:00
Lab 3: Experiments with decision trees and decision rules on the
caravan dataset (Ida Sprinkhuizen-Kuyper)
Tongersestraat 6, room 3.002
Wednesday July 5
09:00 – 10:15
Lecture: Instance-based learning and Bayesian learning (Evgueni
Smirnov)
Tongersestraat 6, room 0.002
10:15 – 10:45
Coffee / tea break
Tongersestraat 6, room 0.002
10:45 – 12:00
Lab 4: Experiments in text classification using the nearest neighbour
algorithm and the naïve Bayesian classifier (Evgueni Smirnov)
Tongersestraat 6, room 3.002
12:00 – 14:00
Lunch
14:00 – 15:15
Lecture: Neural networks (Eric Postma)
Tongersestraat 6, room 0.002
15:15 – 15:45
Coffee/tea break
Tongersestraat 6, room 0.002
15:45 – 17:00
Lab 5: Experiments in image recognition with neural networks:
Distinguishing Genuine Van Gogh from Fake Van Gogh (Eric Postma)
Tongersestraat 6, room 3.002
Thursday July 6
09:00 – 10:15
Lecture: Association rules (Evgueni Smirnov)
Tongersestraat 6, room 0.002
10:15 – 10:45
Coffee/tea break
Tongersestraat 6, room 0.002
10:45 – 12:00
Lab 6: Experiments with association rules on a market-basket dataset
(Evgueni Smirnov)
Tongersestraat 6, room 3.002
12:00 – 14:00
Lunch
14:00 – 15:15
Lecture: Clustering (Pieter Spronck)
Tongersestraat 6, room 0.002
15:15 – 15:45
Coffee/tea break
Tongersestraat 6, room 0.002
15:45 – 17:00
Lab 7: Experiments with clustering algorithms (Pieter Spronck)
Tongersestraat 6, room 3.002
18:00 – 21:00 Course Dinner
Friday July 7
09:00 – 10:15
Lecture: Support vector machines and their application in economics
(George Nalbantov)
Tongersestraat 6, room 0.002
10:15 – 10:45
Coffee/tea break
Tongersestraat 6, room 0.002
10:45 – 12:00
Lab 8: Final experiments on the caravan data set (Ida SprinkhuizenKuyper, Evgueni Smirnov)
Tongersestraat 6, room 3.002
12:00 – 14:00
Lunch
14:00 – 16:00
Discussion: How can I apply data mining in my research domain?(All
teachers)
Tongersestraat 6, room 0.002
16:00 – 16:15 Closing (Eric Postma)
Tongersestraat 6, room 0.002