SGN-43006 Knowledge Mining and Big Data, 5 cr

Implementation SGN-43006 2016-01

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 10.05.2017 09:00 - 12:00
Exam Thu 21.09.2017 17:00 - 20:00
Exam Thu 02.11.2017 17:00 - 20:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 06.03.2017 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Fri 10.03.2017 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 13.03.2017 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Fri 17.03.2017 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 20.03.2017 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Fri 24.03.2017 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 27.03.2017 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Fri 31.03.2017 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 03.04.2017 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Fri 07.04.2017 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 10.04.2017 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Fri 21.04.2017 14:00 - 16:00
SGN-43006 Knowledge Mining and Big Data/Lec/01 Mon 24.04.2017 12:00 - 14:00
SGN-43006 Knowledge Mining and Big Data/Lec/02 Fri 28.04.2017 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