Open University

Tampere

Data Mining: Preprocessing and Modelling, Lectures

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Advanced studies

Faculty of Information Technology and Communication Sciences

Data Processing and Information Technology

Apply for Open University studies by using the following links:<ul><li><a href="https://tau-avoin.ilmoittaudu.fi/lobby/?realization=J-otm-f68d60e2-c9a0-4a31-9556-d21f738d7450_2023-tampere-DATAML340" target="_blank">DATA.ML.340 Data Mining: Preprocessing and Modelling, lectures, Tampere</a></li></ul>You can find a link to the Open University Admissions service and application instructions on the <a href="https://www.tuni.fi/en/study-with-us/open-higher-education-studies/open-university/applying-open-university">Applying to Open University studies</a> page.Some of the studies require prior studies. For example, studying intermediate studies may require some completed basic studies. These are described on the Information about studies tab of the study unit under prior requirements.When you have been admitted to the studies, you must enrol separately via the Sisu information system for the implementation of the unit of study and, for example if set, for a practise group of your choice. You will receive instructions on how to do this by e-mail after you have confirmed your acceptance of the study place by paying the required fee.

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City Centre Campus

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Properties of data and measurements are considered. Preprocessing methods of data are described to select and prepare data for data mining algorithms. Some data mining algorithms are presented as well as their applications, for instance, for classification and prediction of data.

<h2>Common</h2><h3>Lecture: </h3>24.10.2023 10:00 - 12:00, TAU Pinni B1097 auditorio (100) 25.10.2023 10:00 - 12:00, TAU Pinni A2100 Paavo Koli -Sali auditorio (83) 31.10.2023 10:00 - 12:00, TAU Pinni B1097 auditorio (100) 01.11.2023 10:00 - 12:00, TAU Pinni A2100 Paavo Koli -Sali auditorio (83) 07.11.2023 10:00 - 12:00, TAU Pinni B1097 auditorio (100) 08.11.2023 10:00 - 12:00, TAU Pinni A2100 Paavo Koli -Sali auditorio (83) 14.11.2023 10:00 - 12:00, TAU Pinni B1097 auditorio (100) 15.11.2023 10:00 - 12:00, TAU Pinni A2100 Paavo Koli -Sali auditorio (83) 21.11.2023 10:00 - 12:00, TAU Pinni B1097 auditorio (100) 22.11.2023 10:00 - 12:00, TAU Pinni A2100 Paavo Koli -Sali auditorio (83) 28.11.2023 10:00 - 12:00, TAU Pinni B1097 auditorio (100) 29.11.2023 10:00 - 12:00, TAU Pinni A2100 Paavo Koli -Sali auditorio (83) <h2>Groups</h2><h3>Exercise: Online</h3>02.11.2023 17:00 - 19:00 09.11.2023 17:00 - 19:00 16.11.2023 17:00 - 19:00 23.11.2023 17:00 - 19:00 30.11.2023 17:00 - 19:00

The student learns the premises, objectives and relevance as well as the basic methods of data mining.

<h2>Prerequisites</h2>Data Structures or equivalent and basic programming skills are required. Basic concepts of linear algebra such as vector and matrix have to be known and operations and concepts associated with them, e.g., their operations and length of a vector. Knowledge of basics of statistics is needed, e.g., concepts of central values (tendencies) and that of probability. <h2>Recommended Prerequisites</h2><ul><li>Data Structures, TIETA6, 10 cr</li></ul>

Dorian Pyle: Data Preparation for Data Mining, Morgan Kaufmann Publishers, 1999 Ian H. Witten, Eibe Frank, Mark A. Hall: Data Mining, Practical Machine Learning Tools and Techniques, third edition, Morgan Kaufmann Publishers, 2011David Hand, Heikki Mannila and Padhraic Smyth: Principles of Data Mining, MIT Press, 2001Margaret H. Dunham: Data Mining, Introductory and Advanced Topics, Pearson Education Inc., 2003Krysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski and Lukasz A. Kurgan: Data Mining, A Knowledge Discovery Approach, Springer, 2007

Data Mining: Preprocessing and Modelling, Lectures

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Data Mining: Preprocessing and Modelling, 5 cr

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Data Mining: Preprocessing and Modelling, Lectures