Term Papers „Data Warehouses and Data Mining“

 

 

 

No

Topic

Agosta

Bauer/

Günzel

(in German)

Jarke

et al.

Team

Date of Presentation

1

Information Supply Chain

12

3

4

Li Min,  Peng Yu Jan 24

2

Architecture, Transactions

9, 10

2, 4, 9

 

Jens Karnapp,.Müller-Haibt Jan 24

3

Data Quality

6

 

3, 7

Benjamin Meulyzer, Ingrid Van der Veeken Jan 29

4

Aggregation

14

 

 

   

5

OLAP, MOLAP, ROLAP

15

5, 6

5

Thomas Wegener Jan 31

6

Query Optimization, Indices

 

7

6

Claas Reim, Christian Stahl, Dirk Hain Jan 29

7

Performance

11

4

 

Matthias Horbank Jan 31

8

Metadata

13

8

7

Anatolji Zubow, Frank Legler Jan 31

9

DW and the Web

16

 

 

Dalong Hu, Jubril Taiwo Feb 7

10

Data Mining

17

 

 

Shaimaa Marzouk, Anna Kielbasa 
Feb 7

11

DW Project Management

4

9, 10

 

Daniel Göhring, Stephan Weißleder Feb 12

12

Justifying DW, Return on Investment

3

11

 

   

13

DWs for Establishing Customer Profiles

 

 

 

Sven Hanke, Christoph Meyer zu Bergsten Feb 12

 

 

Literature:

Agosta, L., The Essential Guide to Data Warehousing, Prentice Hall, 2000

Bauer, A. and Günzel, H. (eds.), Data-Warehouse-Systeme, dpunkt.verlag, 2001

Jarke, M., Lenzerini, M., Vassiliou, Y, and Vassiliadis, P., Fundamentals of Data Warehouses, Springer, 2000

 

 

Deliverables:

-         One talk, 15 minutes per person (25% of the final grade)

-         One paper per project, 5-10 pages per person, due on February 28, 2003 (25% of the final grade). Papers have to be submitted online in .doc, .rtf or .pdf format.

 

VERY IMPORTANT - Politics on Plagiarism:

Quotes from other sources (and this includes anything available on the Web) need to be marked clearly with quotation marks and a reference in the bibliography. Any quote that is not marked as such will lead to an overall grade of 5,0 (fail). Papers are routinely checked against Web content to detect unmarked quotations.