Assent I., Seidl T.

Advanced Data Mining Algorithms (SS 2008)

Content

Algorithms and concepts for Data Mining in large databases.

Dates

Type	Day	Time	Room
Lecture	Tuesday	14:00 - 15:30	AH 6	Beginn: 15.04.08
	Thursday	13:15 - 14:45	AH 5	Beginn: 17.04.08
Exercises	Friday	13:00 - 14:30	AH 5	Beginn: 09.05.08

News

			09.07.2008
		Lecture on July 10th and 15th in room 6329 (seminar room i9)
	Exam		24.06.2008
		Please register for the exam until July 1st. Direct link here.
	Exam		18.04.2008
		Tuesday, 22.07.2008 10:00
	Tutorial		14.04.2008
		Please register for the tutorial.

Non regular Dates

Date	Room	Material
	Subject
15.04.2008		Chapter 0 (274 KB) (RWTH-Intern) Chapter 1 (935 KB) (RWTH-Intern)
	Chapter 0: Organization Chapter 1: Introduction
17.04.2008		Chapter 2 (1,32 MB) (RWTH-Intern)
	Chapter 2: KDD Process
22.04.2008
	-
29.04.2008		Chapter 3 (small file, low resolution) (3,13 MB) (RWTH-Intern) Chapter 3 (large file, high resolution) (17,6 MB) (RWTH-Intern)
	Chapter 3: Clustering
06.05.2008
	-
20.05.2008
	-
27.05.2008
	-
29.05.2008
	-
03.06.2008		Chapter 4 (821 KB) (RWTH-Intern)
	Chapter 4: High dimensional data
05.06.2008		Chapter 5 (A) (2,30 MB) (RWTH-Intern)
	Chapter 5 Clustering high dimensional data
10.06.2008		Chapter 5 (B) (774 KB) (RWTH-Intern)
	-
17.06.2008
	-
19.06.2008		Chapter 5 (C) (102 KB) (RWTH-Intern)
	-
24.06.2008
	-
01.07.2008		Chapter 5 (D) (1,39 MB) (RWTH-Intern)
	-
03.07.2008
	-
08.07.2008		Chapter 5 (E) (1,36 MB) (RWTH-Intern)
	-
10.07.2008	6329	Chapter 6 (981 KB) (RWTH-Intern)
	-
15.07.2008	6329	Chapter 7 (1,25 MB) (RWTH-Intern)
	-
22.07.2008
	Exam

Tutorial

Units

Exercise 1	Exercise 1 (15,2 KB)
Exercise 2	Exercise 2 (22,0 KB)
Exercise 3	Exercise 3 (58,7 KB)
Exercise 4	Exercise 4 (24,0 KB)
Exercise 5	Exercise 5 (63,7 KB) | optics_highdim.zip (3,72 KB)
Exercise 6	Exercise 6 (76,1 KB)
Exercise 7	Exercise 7 (60,5 KB)
Exercise 8	Exercise 8 (71,3 KB) | clique.txt (461 Bytes)
Exercise 9	Exercise 9 (17,4 KB) | clique.arff (648 Bytes) | clique_cell.arff (466 Bytes) | tutorial_text.pdf (1,35 MB)
Exercise 10	Exercise 10 (43,7 KB)

Exam