-------- Original-Nachricht -------- Betreff: [computational.science] RIKD06 Call for Papers (Reliability Issues in Knowledge Discovery) Datum: Thu, 1 Jun 2006 15:58:22 +1000 Von: Gang Li gang.li@deakin.edu.au Organisation: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com
we apologize, if you receive it more than once ----------------------------------------------
Call for Papers
IEEE International Workshop on Reliability Issues in Knowledge Discovery (ICDM06 Workshop --- RIKD'06)
December 18, 2006, Hong Kong
Website: http://www3.it.deakin.edu.au/~hdai/RIKD06/http://www3.it.deakin.edu.au/%7Ehdai/RIKD06/ Deadline for Paper Submission: 30th, July 2006
INVITATION ----------
The 2006 IEEE ICDM Workshop on Reliability Issues of Data Mining and Knowledge Discovery will focus on the theory and techniques that can ensure the discovered knowledge is reliable and to identify in which cases or under which conditions the discovered knowledge is reliable or the discovery process is robust. In the last 20 years, many data mining algorithms have been developed for the discovery of knowledge from given data bases. However in many cases, the discovery process is not robust or the discovered knowledge is not reliable or even incorrect in certain cases. In some cases, the discovered knowledge may not necessary be the real reflection of the data. Why does this happen? What are major factors which affect the discovery process? How can we make sure that the discovered knowledge is reliable? What are conditions under which a reliable discovery can be assured? These are some interesting questions to be discussed at this workshop.
Scopes and Topics ------------------
The topics of the workshop will include but not be restricted to the following:
1. The theories on reliable knowledge discovery 2. General reliability issues on knowledge discovery 3. Domain specific issues on knowledge discovery 4. The criteria that can be used to assess the reliability of discovered knowledge. 5. The conditions under which we can confidently say that the discovered knowledge is reliable. 6. The techniques which can improve reliability of knowledge discovery 7. Practical approaches that can be used to solve reliability problems of data mining systems. 8. The theoretical work on data mining reliability 9. The practical approaches which can be used to assess if the discovered knowledge is reliable. 10. The analysis of the factors that affect data mining reliability 11. How reliability can be assessed 12. In which condition, the reliability of the discovered knowledge is assured.
IMPORTANT DATES --------------- Deadline for paper submission: 30th, July 2006 Notification of acceptance: 5th, Sept 2006 Camera-ready* papers: 26th, Sept 2006 Registration deadline: 30th Oct 2006 Workshop: 18th, December 2006
Submissions and Publications ------------------------------------
All submissions will be reviewed on the basis of relevance, originality, significance, soundness and clarity. Each paper will be reviewed by at least two experts independently. Accepted papers will be included in the workshop proceedings and will be published by IEEE Computer Society. At least one author of accepted papers must register and present the paper at the workshop. A selected number of papers will be invited to a special issue of the International Journal on Data Mining and Knowledge Discovery edited by Dr Honghua Dai and Prof Jiawei Han.
Please note that papers should be no longer than 12 pages in IEEE format. Fonts should not be smaller than 10pt. All accepted papers must be presented by one of the authors who must register and pay fees.
Only electronic copies of the papers in Microsoft Word, or PDF format are acceptable for review purposes and must be uploaded via the Submission icon on the Workshop Web site). Papers must correspond to the requirements detailed in the Instructions to Authors which will be placed on the Conference Web Site http://www.comp.hkbu.edu.hk/iwi06/icdm/.