Institute of Computer Science
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  2. 2017/18 fall
  3. Data Mining (MTAT.03.183)
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Data Mining 2017/18 fall

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Lectures

Lecture 01 - Sept 11 - Introduction

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Video of the lecture failed to record due to technical problems.

Lecture 02 - Sept 18 - First look at the data

Slides (PDF)

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Lecture 03 - Sept 25 - Exploration of data

Slides (PDF)

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Lecture 04 - Oct 2 - Basic statistics

Slides (PDF)

Errata: The correct option in slide 64 is of course A, not B.

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Lecture 05 - Oct 9 - Frequent pattern mining

Slides (PDF)

Errata: The correct option in slide 27 is of course D, not C. In slide 93 the value of lift in the statistically independent case is 1, not 0 (and similarly >0 and <0 should be replaced by >1 and <1).

Video of the lecture

Lecture 06 - Oct 16 - Data discovery with Tableau software (guest lecturer: Mirko Känd)

In order to be able to participate in the lecture please follow the instructions here: Setting_Up_Tableau_Desktop_with_R.pdf to install Tableau Desktop and connect it with R.

Video of the lecture

Lecture 07 - Oct 23 - Machine learning 1: Introduction

Slides (PDF)

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Lecture 08 - Oct 30 - Machine learning 2: Classification

Slides (PDF)

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Lecture 09 - Nov 6 - Machine learning 3: ROC analysis and regression

Slides (PDF)

Video of the lecture (Part I)

Video of the lecture (Part II)

Lecture 10 - Nov 13 - Machine learning 4: Deep learning

Slides (PDF)

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Lecture 11 - Nov 20 - Clustering and dimensionality reduction

Slides (PDF)

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Lecture 12 - Nov 27 - Databases and big data

Slides (PDF)

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Lecture 13 - Dec 4 - Applications: Graph mining and natural language processing

Slides (PDF)

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Lecture 14 - Dec 11 - Uncertainty in data mining

Slides (PDF)

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  • University of Tartu
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