Course Catalog 2008-2009
Basic

Basic Pori International Postgraduate Open University

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Course Catalog 2008-2009

SGN-5306 Knowledge Mining, 3 cr

Course´s person responsible

Ari Visa

Implementations

No implementations

Requirements

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

Principles and baselines related to teaching and learning

-

Objectives

The course equips the student with a sound understanding of data mining methods and principles and teaches methods for knowledge discovery in large corporate databases.

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

Course O/R
OHJ-1100 Ohjelmointi I Obligatory  
OHJ-1106 Programming I Obligatory  
OHJ-1150 Ohjelmointi II Obligatory  
OHJ-1156 Programming II Obligatory  
SGN-1107 Introductory Signal Processing Recommended  
SGN-1200 Signaalinkäsittelyn menetelmät Recommended  
SGN-1250 Signaalinkäsittelyn sovellukset Recommended  

Prerequisite relations (Requires logging in to POP)

Correspondence of content

Course Corresponds course  Description 
SGN-5306 Knowledge Mining, 3 cr 8004202 Data Mining, 2 cu  

Additional information

Lectures in English or in Finnish.

Last modified13.08.2008
ModifierHanna Hämäläinen