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Tommi Tervonen

Teaching / [FEB53016] Topics in Business Intelligence (2014)

This is the course page for Topics in Business Intelligence (Computer Science minor), academic year 2014-15, block 1.

Lecture slides

• #1 (Introduction to BI and case study)
• #2 (Data reduction)
• #3 (Model validation)

Student lecture slides

• #1 (Naive Bayes and k-NN)
• #2 (Classification trees)
• #2 manual
• #4 (Neural networks)

Project work

The project work will be made with RapidMiner. Links to resources for course work are:

• RapidMiner download page
• Video tutorials for RapidMiner. Mind the german accent.
• Case study data set

Additional material in form of scientific papers can be downloaded from:

Group
All	#1	#2
k-NN and Naive Bayes	#1	#2	#3
Classification trees	#1	#2	#3
Logistic regression	#1	#2
Neural networks	#1	#2

And the link to my ancient neural network image compression demo applet can be found /here/.

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