Pattern discovery in data mining - Week 2

I've updated the github repository to include some code related to week 2 of the coursera course Pattern Discovery in Data Mining. However, this is only a few lines of R code in order to calculate chi², lift and cosine measure for a contingency table of items. All of this week's answers could have been answered using pen and paper.

I am not a big fan of this quiz. Answering most of the questions amounted to revisiting the lecture slides and looking up the definition of the relevant section. This is made harder by the fact that some of the definitions are confusing and the notation is not really well explained in all cases.

In any case, I did alright on the test, but I definitely hope there is more actual ata mining involved in the coming weeks.

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