Extracção de Conhecimento e Aprendizagem Computacional

Knowledge Extraction and Machine Learning

2011/2012

Lectureres: 

João Mendes Moreira   Office: I023

José Luís Borges   Office: L215

Topics Covered

Week

Lecture

Lab session

week 01

Introduction to Data Mining

week 02

Descriptive Statistics 

lab01-excel-2011_2012.pdf  lab01-adult.data  lab01-adult.names

week 03

Data Preparation

(page 30 updated on 13/10/2011)  

lab02_spss.pdf   lab02_Risk.csv

week 04

Association Rules

lab03-R-2011_2012.pdf (modified on 13/10/2011)
 
lab03-auto.txt lab03-exemplo.txt Dprep

wees 05

Clustering

lab04-association rules    lab04-bank-data.csv

week 06

Clustering - part II

lab05-clustering   lab05-Risk.xls  lab05-nutrient.csv

week 07

Prediction: Classification and regression

lab07-1R-NB   lab07-datasets

week 08

Decision Trees

Lab08-DT lab08-datasets

week 09

Decision Trees Pruning, Rules and Evaluation

Lab09-Evaluation lab09-datasets

week 10

Neural Networks and Support Vector Machines

Lab10_NN_SVM lab10-datasets

week 11

Emsemble  Learning

Lab11_EnsembleLearning Use lab10-datasets

week 12

Course works presentations

Software

 

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