-------- Original-Nachricht -------- Betreff: [computational.science] ECML PKDD 2008 Call for Demos Datum: Mon, 10 Mar 2008 18:02:08 +0100 Von: Christian Borgelt christian@ecmlpkdd2008.org Organisation: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com

(apologies for multiple copies)

------------------------------------------------------------------------ Call For Demos

ECML/PKDD 2008 The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases September 15-19, 2008 Antwerp, Belgium http://www.ecmlpkdd2008.org/ ------------------------------------------------------------------------

At ECML PKDD 2008 a special demonstration session will be held, which is intended as a forum for showcasing the state of the art in machine learning and knowledge discovery software. The focus will be on innovative prototype implementations, systems and technologies in machine learning and data analysis. We strongly recommend that you make your demonstration open source, but do not require this for submission.

Submissions will be judged by a committee of technical experts with experience in developing software for machine learning and data analysis. They will select demonstrations based on their technical merits and their interest and usefulness for attendees of the conference.

Accepted demonstration papers will be published in the conference proceedings (4 pages). At least one of the authors must register for and attend the conference in order to present the demonstration. Technical details about the presentation will be sent with the acceptance notification.

Key Dates (identical to normal paper submission key dates)

* Demo Submission deadline: April 25 * Demo Acceptance Notification: June 13 * Demo Camera Ready: June 22

Submissions

Each demonstration should be accompanied by a short paper of at most 4 pages (including figures and screenshots if needed). The paper has to be submitted through the normal conference paper submission system. The paper must be in English and must be formatted according to the Springer-Verlag Lecture Notes in Artificial Intelligence guidelines. Authors instructions and style files can be downloaded at http://www.springer.de/comp/lncs/authors.html.

In this accompanying paper, please try to answer the following questions: What makes your piece of software unique and special? What are the innovative aspects or in what way/area does it represent the state of the art? For whom is it most interesting/useful? (an ML or KDD researcher, a graduate or undergraduate student in these areas, an industrial practioner etc.) If there are similar/related pieces of software: What are the advantages and disadvantages compared to these related software?

Contact

In case you have any question, please do not hesitate to contact the ECML/PKDD 2008 Demo Chair: Christian Borgelt, christian@ecmlpkdd2008.org