SGN-43006 Knowledge Mining and Big Data, 5 cr

Implementation SGN-43006 2018-01

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 Wed 08.05.2019 09:00 - 12:00
Exam Thu 27.06.2019 17:00 - 20:00
Exam Tue 22.10.2019 17:00 - 20:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 04.03.2019 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Thu 07.03.2019 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 11.03.2019 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Thu 14.03.2019 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 18.03.2019 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Thu 21.03.2019 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 25.03.2019 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Thu 28.03.2019 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 01.04.2019 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Thu 04.04.2019 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 08.04.2019 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Thu 11.04.2019 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 15.04.2019 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Thu 25.04.2019 14:00 - 16:00

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