Lecture Topic Description Lecture notes Tutorial notes Review Question Reference Other Exercise E-Learning
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1 Data Warehousing I XML Databaselecture1Tutorial1Review1Reference1other1Ex1Ex1N/AN/A
2 Data Warehousing II Schema Translationlecture2Tutorial2Review2Reference2other2Ex2Ex2N/AN/A
3 Data Warehousing III Schemas integrationlecture3Tutorial3Review3Reference3other3Ex3Ex3N/AN/A
4 Data Warehousing IV Star schema and data cubelecture4Tutorial4Review4Reference4other4Ex4Ex4N/AN/A
5 Data Warehousing V Online Analytical Processinglecture5Tutorial5Review5Reference5other5Ex5Ex5N/AN/A
6 Data Warehousing VI Data conversion + integrationlecture6Tutorial6Review6N/Aother6Ex6Ex6N/AN/A
7 Data Mining I Association rules lecture7Tutorial7Review7Reference7other7Ex7Ex7N/AN/A
8 Data Mining II Web Mininglecture8Tutorial8Review8Reference8N/AN/AEx8N/AN/A
9 Data Mining III Clusteringlecture9Tutorial9Review9Reference9N/AN/AEx9N/AN/A
10 Data Mining IV Genetic Algorithm lecture10Tutorial10Review10Reference10N/AN/AEx10N/AN/A
11 Data Mining V Decision Tree lecture11Tutorial11Review11Reference11N/AN/AEx11N/AN/A
12 Data Mining VI Neural Networklecture12Tutorial12Review12Reference12N/AN/AN/AN/AN/A
13 Data Warehouse + Data Mining Reivewlecture13N/AN/AReference13N/AN/AN/AN/AN/A
Text and Reference Books:
  1. "Data Mining: Concepts and Techniques" by Jiawei Han and Micheline Kamber, published by Morgan Kanfmann Publishers, Second Edition
  2. "Information Systems Reengineering and Integration" by Joseph Fong, published by Springer Verlag, 2006, ISBN 978-1-84628-382-6, 2nd edition.
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