Visual data mining
Submissions might address application areas such as decision support, e-learning, CSCW, healthcare, mobile computing, virtual environments, or bioinformatics.
The topics mentioned above are addressed at researchers and developers as well as at practitioners and providers in the fields of knowledge management, computer supported cooperative working and learning, business process improvement, etc.
The workshop will be held in English.
Papers: January 27 , 2003
Papers should be at most 6 printed pages. Papers present previously unpublished, original results. The submitted papers of the participants will be published within the J.UCS conference proceedings of the I-Know ’03 Conference. Papers submitted may, at the discretion of the program co-chairs, be invited for publication as extended papers (20 pages) in a "special issue" of J.UCS (http://www.jucs.org/) to appear after the conference.
Posters: January 27, 2003
Authors must submit a 2 page extended abstract. All authors are required to bring an explanatory hardcopy poster for display during the scheduled evening poster session, and be available for discussion at that time. Abstracts will be presented on the web.
We encourage submissions of original unpublished work and submissions showcasing systems of interest to the knowledge and information visualization community that have been presented in other venues.
Please prepare your submission according to the J.UCS Author Guidelines.
All submissions, regardless of category, should include title, author(s), abstract, keywords, body, and references. Authors are encouraged to include full color illustrations. Submissions longer than the page limits will not be considered.
All submissions are to be made electronically in PDF (Adobe's Portable Document Format)
Submissions are treated as confidential communications during the review process, so submission does not constitute public disclosure of any ideas therein. Submissions should contain no information or materials that will be proprietary or confidential at the time of publication, and should cite no publications that are proprietary or confidential at the time of publication.
Submit your papers or two-page extended abstract via e-mail attachment to firstname.lastname@example.org