SGN-43006 Knowledge Mining and Big Data, 5 cr

Implementation SGN-43006 2019-01

Description

Learning outcomes:
The student can describe the difference between data and knowledge mining. The student can list and describe OLAP, association, predictive modeling, modeling, regression analysis and cluster analysis.
The student can analyse the own problem and apply the lectured method on it.
The student is capable to analyse the proposed solutions.

Lessons

Period 4
Methods of instruction Luento, Tentti
Person responsible Ari Visa

Assessment scale

Numerical evaluation scale (0-5)

Requirements

Assignment and final examination.

Exam Mon 11.05.2020 13:00 - 16:00
Exam Wed 17.06.2020 17:00 - 20:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Mon 02.03.2020 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Wed 04.03.2020 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Mon 09.03.2020 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Wed 11.03.2020 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Mon 16.03.2020 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Wed 18.03.2020 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Mon 23.03.2020 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Wed 25.03.2020 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Mon 30.03.2020 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Wed 01.04.2020 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Mon 06.04.2020 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Wed 15.04.2020 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Mon 20.04.2020 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Wed 22.04.2020 12:00 - 14:00

Study material

Type Name Author ISBN Additional information Language Examination material
Book "Data Mining: Concepts and Techniques" Jiawei Han & Micheline Kamber Morgan Kaufmann Publisher, 2000 English Yes
Book "Principles of Data Mining" David J. Hand, Heikki Mannila and Padhraic Smyth MIT Press, 2000 English Yes