Informationsutvinning (Data mining) - 1DL105 and 1DL025

Fall 2009

Kjell Orsborn, examinator, lecturer, email: kjell.orsborn at it dot uu dot se, phone: 471 1154, room 1321
Gyozo Gidofalvi, course assistant, email: gyozo gidofalvi at it dot uu dot se, phone: 471 6345, room 1316
Erik Zeitler, course assistant, email: erik.zeitler at it dot uu dot se, phone: 471 3390, room 1320

You will find information about course goal, content, prerequisites and examination here.

Reading instructions for the the book "Introduction to Data Mining" by Tan, Steinbach, and Kumar (1st Edition, Addison-Wesley, 2006) is found here.

Note that supplementary material, such as overhead slides and articles, are also part of the course material.

(to be completed)

Q: Is this section used for answering frequently asked questions?
A: Yes!

The schedule with time and location is available here and here

No:	Subject:	Ch:	Tchr:

L1	Introduction to data mining		KO
L2	Overview of data in data mining		KO
L3	Overview of data in data mining continued ...		KO

T0	Intro to Amos II and AmoSQL		TR
T1	Tutorial on assignment 1		EZ
L4	Classification		KO

L5	Classification continued ...		KO
L6	Classification continued ...		KO
T2	Tutorial on assignment 2		GG

L7	Clustering: partition methods		KO
L8	Clustering continued: hieararchical methods		KO
T3	Tutorial on assignment 3		GG

L9	Association rules - frequent item sets		KO
L10	Association rules - fast algorithms and rule generation		KO
L11	Association rules - continued ...		KO
T4	Tutorial on assignment 4		GG

L12	Mining sequential patterns		KO
L13	Web content mining		KO

L14	Search engines		KO
L15	Data mining and privacy		KO
Exam	Final exam in the "Skrivsalen" hall at Polacksbacken

	CONTENTS
	News
	Literature
	Assignments
	Teachers
	Goal, content and prerequisites
	Organization and examination
	OH slides and compendium
	Reading instructions
	Miscellaneuos information
	F.A.Q.
	Schedule