Extracção de Conhecimento e Aprendizagem Computacional

Knowledge Extraction and Machine Learning

2011/2012

Lectureres: 

João Mendes Moreira   Office: I023

José Luís Borges   Office: L215

• Classes' tentative plan
• Project:
• Progress report guidelines
• List of enrolled students and Projects (updated on the 3rd November 2011)
• Final Report Deadlines - MIEIC students 7 December
• Ph.D Students - Day of the first exam
• Final report guidelines
• Dataset sites: 
• http://www.kdnuggets.com/datasets/
• http://archive.ics.uci.edu/ml/
• http://www.inf.ed.ac.uk/teaching/courses/dme/html/datasets0405.html
• http://www.datawrangling.com/some-datasets-available-on-the-web

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

• Weka: Data Mining Software in Java
• SPSS statistics
• R: The R Project for Statistical Computing
• RapidMiner
• Excel 2010

Other editions

• 2010/2011
• 2009/2010
• 2008/2009
• 2007/2008
• 2006/2007
• 2005/2006
• 2004/2005