Course Catalog 2009-2010 Basic Basic Pori International Postgraduate Open University |Degrees|     |Study blocks|     |Courses|

Person responsible

Ari Visa

Implementations

	Lecture times and places	Target group recommended to
Implementation 1	Per 4 : Monday 10 - 15, TB223 Thursday 10 - 15, TB222	3.-n. vuosikurssi International Students Jatko-opiskelijat Tieto- ja sähkötekniikan tiedekunta

Requirements

Assignment and final examination.
Completion parts must belong to the same implementation

Principles and baselines related to teaching and learning

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Learning outcomes

Learning outcomes: The student can describe the difference between data and knowledge mining. The student can list and describe OLAP, association, predictive classification, 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.

Content

Content	Core content	Complementary knowledge	Specialist knowledge
1.	Concept Description	Data preprocessing Data Generalization Summarization-Based Characterization Analyzing of Attribute Relevance
2.	Mining Association Rules	Mining Single-Dimensional Boolean Association Rules, and Multilevel Association Rules, and Multidimensional Association Rules Correlation Analysis
3.	Descriptive Models	Cluster Analysis Describing Data by Probability Distributions and Densities	Parametric models Nonparametric models
4.	Predictive Models	Regression models Stochastic models Predictive models for classification Models for structured data

Evaluation criteria for the course

The examination is based on the final exam and an exercise work. The grading of the execise work is pass/fail.

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Partial passing:

Completion parts must belong to the same implementation

Study material

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

Prerequisites

Additional information about prerequisites
Basic programming skills are required.

Correspondence of content

Additional information

Lectures in English or in Finnish.

More precise information per implementation

	Description	Methods of instruction	Implementation
Implementation 1

Last modified	13.01.2010
Modifier	Ari Visa