Please note: This page is no longer maintained and updated
There's gold in the data, but we just can't tell how much without
exploration.
- Don Haderle, Director of Database IBM
http://www.kdnuggets.com/index.html
This is one of the first (and best) resources for Data Mining
& Knowledge Discovery I found on the web. The knowledge discovery
mine contains a lot of useful links to other resources, a list of
relevant kdd publications, a catalog of kdd tools and a list of S*i*ftware
- tools for knowledge discovery and datamining.
http://www.the-data-mine.com
Andy Pryke's Data Mine with many useful links to Data Mining
resources and other things relevant to Data Mining.
http://www.springerlink.com/content/100254/
This is the homepage of the Datamining and Knowledge Discovery
Journal published by Springer Netherlands.
http://www.aaai.org/Press/Books/fayyad.php
If you are searching for a good book on data mining and knowledge
discovery - here it is! This link gives you an overview of topics
covered by the book.
http://www.quetek.com/dictionary/data-mining-knowledge-discovery.html
Useful links to datamining & knowledge discovery resources.
www.pcc.qub.ac.uk/tec/courses/datamining/ohp/dm-OHP-final_1.html
http://www.pcc.qub.ac.uk/tec/courses/datamining/stu_notes/dm_book_1.html
This online course by Ruth Dilly, Queens University of Belfast, is
a very nice introduction to dataminig.
http://www.cs.helsinki.fi/u/mannila/
A list of publications related to data mining and knowledge discovery
in databases.
http://tkdd.cs.uiuc.edu/
The Transactions on Knowledge Discovery from Data (TKDD) is part of the family of journals produced by the ACM.
TKDD publishes one volume yearly.
First International Conference on Knowledge Discovery and Data
Mining (1995)
Second International Conference on Knowledge Discovery and
Data Mining (1996)
Third International Conference on Knowledge Discovery and Data
Mining (1997)
Fourth International Conference on Knowledge Discovery and
Data Mining (1998)
http://www.prudsys.com/Produkte/Algorithmen/Xelopes
XELOPES is a an open platform-independent and data-source-independent
library for Embedded Data Mining. It is based on the CWM standard
of the OMG and supports other Data Mining standards like PMML, OLE
DB for DM, and MLC++. It is available under Java, C++, and C#. XELOPES
library is under the GNU General Public Licence available.
http://www.sgi.com/Technology/mlc/
Heiko Holtkamp
Technische Fakultät, Universität
Bielefeld
email: heiko@rvs.uni-bielefeld.de