The working language of the conference is English. Only original, unpublished papers are invited.

Authors should upload an electronic version of the full paper (pdf and/or possibly ps) by using the conference paper registration and submission site before February 13, 2008.

The conference organizers invite long (10 pages) and short (5 pages) papers. The papers should be organized in accordance with common scientific structure (abstract, state of the art in the field, intention, used methodology, obtained results and references). The papers will be refereed by an international committee, and accepted on the basis of their scientific merit, novelty and relevance to the conference topics. After notification of acceptance, authors will be allowed to make a correction in accordance with the suggestions of the reviewers and submit final camera-ready papers.

The final papers are to be prepared using LaTeX. Please download the zipped archive with files needed to process your document: iis4authors.zip [updated: 13.03.2008]. Both class files and an example of use are contained in the archive. Please follow all the recommendations given in the example.

The accepted papers will be published in conference proceedings and selected papers, after additional review, will be published in a special issue of the International Journal "Control and Cybernetics". The accepted papers must be presented by the authors personally to be published in the conference proceedings.

Additionally, Authors of outstanding papers on the topics mentioned below will be invited to contribute to the special monograph dedicated to the memory of prof. Ryszard S. Michalski. Extended versions of the invited papers will be published as chapters of the monograph, which will appear in the Springer series "Studies in Computational Intelligence".
The list of topics suitable for the monograph:
- machine learning,
- data and text mining,
- knowledge engineering,
- reasoning technologies,
- learning in nature inspired systems,
- user modeling and intrusion detection,
- applied data mining using statistical and non-standard approaches.

Copyright:
If a figure, a table, or an extended piece of text has been taken from another publication then please obtain the permission of the copyright holder and cite the source in the figure legend, in the table heading, or following the piece of text.