Andmekaeve 2012/13 sügis

1 - Introduction2 - Frequent Itemsets3 - Statistics4 - Clustering5 - Clustering II6 - Clustering III and Matrix reordering7 - Descriptive data mining, R8 - OLAP9 - R, Multidimensional Modeling 10 - Machine Learning I11 - Machine Learning II, projects20 - Project Reports21 - project presentations

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