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Welcome to the MLnet OiS | Spotlight | Evaluate the MLnet Training Site | How to support us | What's new | Disclaimer

Welcome to the MLnet OiS

Welcome to the MLnet Online Information Service (the successor of the ML-Archive at GMD). This site is dedicated to the field of machine learning, knowledge discovery, case-based reasoning, knowledge acquisition, and data mining. Get information about research groups and persons within the community. Browse through the list of software and data sets, and check out our events page for the latest calls for papers. Alternatively have a look at our list of job offerings if you are looking for a new opportunity within the field. And of course, we greatly appreciate any kind of feedback, so send us your comments and suggestions.

How to support us

As you can see, we are working hard on making this site a major resource for machine learning, knowledge discovery, and data mining. But in fact, we have just started and thus the visibility of this side to people outside the ML network needs improvement. Hence, we would greatly appreciate it if you put a link to the MLnet OiS on your web pages. Please, send a short notification to if you do so.

In return a back-link to your site will be added to a special page within the MLnet site, which is regularly submitted to the most relevant(*) search engines, raising your page's chances for a high rank within the search result listings in return.

* relevant in terms of overall audience and hits per month as listed in the monthly evaluation of search engines and portals by Media Metrix, Inc.

What's new ...

For the latest updates and additions to our database check out our what's new page!

Disclaimer

Web site funded by the European Commission.

Reproduction of any part of the site is authorized, except for commercial purposes, provided the source is acknowledged. Some of the documents and multimedia sequences on this site might contain references, or pointers, to information maintained by other organisations.

Please note that we do not control and cannot guarantee the relevance, timeliness or accuracy of these outside materials.