Uusi opinto-opas (sisältäen myös opetusohjelmat) lukuvuodelle 2018-2019 sijaitsee osoitteessa https://opas.peppi.utu.fi . Tältä sivustolta löytyvät enää vanhat opinto-oppaat ja opetusohjelmat.

The new study guide (incl. teaching schedules) for academic year 2018-2019 can be found at https://studyguide.utu.fi. This site contains only previous years' guides.

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Archived Curricula Guide 2016–2018
Curricula Guide is archieved. Please refer to current Curricula Guides
DTEK0023 Data Mining 5 ECTS
Organised by
Information and Communication Technology
Person in charge
Ville Leppänen

Learning outcomes

: This course offers a grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. You will learn how to prepare inputs, interpret outputs, evaluate results, and the algorithmic methods at the heart of successful data mining, including both tried-and-true techniques of the past and methods at the leading edge of contemporary research.

Contents

We first discuss what kind of input a data mining application assumes and what kind of different outputs it may produce. After this, we represent some basic data mining methods and show how the credibility of their results can be evaluated statistically. Basic algorithms are then extended to state-of-the-art real data mining methods. Finally, we discuss the engineering of the input and output.

Teaching methods

Teaching method Contact Online
Lectures

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
Written exam
  • In English

Evaluation

Numeric 0-5.

Study materials

 

Eibe Frank, Ian Witten: Data Mining: Practical Machine Learning Tools and Techniques (Second Edition), Morgan-Kaufmann Publishers, 2005.

Belongs to following study modules

2017–2018
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Implementation details are unavailable.
Department of Future Technologies
DP in Computer Science
DP in Computer Science
DP Bachelor of Science in Techn.(Communication St)
DP in Information and Communication Technology
MDP in Digital Health and Life Sciences (Tech.)
Finnish Study Modules