main page




One Day Seminar - Data Mining in Practice

Intelligent Choices Preceeding Data Analysis [PPT]

Goals, Objectives and System Overview [PDF]

The Representation Race, Handling Time Phenomena [PPT] [PDF]


The Mining Mart Approach
[Morik/Scholz/2003a]Katharina Morik and Martin Scholz, The MiningMart Approach to Knowledge Discovery in Databases. In Intelligent Technologies for Information Analysis, Ning Zhong and Jiming Liu (ed.), Springer-Verlag, 2003, to appear.
[Postscript (gz)]   [PDF]  
[Morik/Scholz/2002a]Morik, Katharina and Scholz, Martin, The MiningMart Approach. In Workshop Management des Wandels der 32. GI Jahrestagung, 2002.
[Postscript]   [PDF]  
[Kietz/etal/2001a]Kietz, Jörg-Uwe and Vaduva, Anca and Zücker, Regina, MiningMart: Metadata-Driven Preprocessing. In Proceedings of the ECML/PKDD Workshop on Database Support for KDD, 2001.

[Kietz/etal/2000a]Kietz, Jörg-Uwe and Vaduva, Anca and Zücker, Regina, Mining Mart: Combining Case-Based-Reasoning and Multi-Strategy Learning into a Framework to reuse KDD-Application. In Proceedings of the fifth International Workshop on Multistrategy Learning (MSL2000), R.S. Michalki and P. Brazdil (ed.), 2000.
[Zuecker/Kietz/2000a]Zücker, Regina and Kietz, Jörg-Uwe, How to preprocess large databases. In Data Mining, Decision Support, Meta-learning and ILP: Forum forPractical Problem Presentation and Prospective Solutions, 2000.