[DUNE-07 Call for Papers]

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CALL FOR PAPERS

The 1st Workshop on Data Mining of Uncertain Data (DUNE 2007)
http://www.comp.polyu.edu.hk/~dmu07

Sponsored by the IEEE Computer Society

October 28, 2007
Embassy Suites Hotel, Omaha, NE, USA 

to be held in conjunction with the 
7th IEEE International Conference on Data Mining (ICDM 2007)
http://www.ist.unomaha.edu/icdm2007/

Papers Due: Monday July 2nd, 2007

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Recently, there is a variety of emerging database applications 
like location-based services, sensor networks, biological and 
biometric databases. The vast amount of information generated 
by these applications can be valuable for data mining purposes. 
However, these data are often inherently associated with 
uncertainty like measurement imperfection, sampling error and 
network latency. These kinds of uncertainty have to be handled 
carefully, or else the mining results could be inaccurate or 
even incorrect. 
The goal of the 1st workshop on Data mining of UNcErtain data 
(DUNE 2007) is to investigate how classical mining models 
and algorithms can be adapted to deal with uncertain data. 
We would also like to explore new data 
mining algorithms that can provide statistical and probabilistic 
guarantees over data impreciseness. Another open issue is to 
investigate how data mining algorithms can be beneficial from 
recent results in the database community, including modeling, 
indexing, and efficient evaluation of uncertain data.

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Topics of Interest
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Issues related to the mining issues of uncertain data are of 
interest. These include, but are not limited to:

* Working models of uncertain data for mining purposes;
* Mining probabilistic databases;
* Mining spatially- and temporally- uncertain data;
* Mining moving-object trajectories;
* Mining biological data with noises;
* Indexing techniques of uncertain data;
* Scalable evaluation of probabilistic queries;
* Data cleansing and error fuction;
* Identification and similarity matching of uncertain objects; 
* Distance between uncertain objects; and
* Mining streams of uncertain data.

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Submission
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High quality research papers in the relevant areas are solicited. 
Original papers exploring new directions will receive especially 
careful consideration. Papers that have already been accepted or 
are currently under review for other conferences or journals will 
not be considered for DUNE'07. Paper submissions should be limited 
to a maximum of 6 pages in the IEEE 2-column format, the same as 
the camera-ready format (please see the IEEE Computer Society 
Press Proceedings Author Guidelines at
http://www.computer.org/portal/pages/cscps/cps/final/icdm06.xml).

All papers will be reviewed by the Program Committee on the basis
of technical quality, relevance to data mining, originality, 
significance, and clarity. From this year, a double blind review 
process will be adopted. Authors must hence not use identifying 
information in the text of the paper and bibliographies must be 
referenced to preserve anonymity. Please use the Submission Form 
on the ICDM '07 website to submit your paper.  All accepted 
workshop papers will be included in a proceeding published by the 
IEEE Computer Society Press.

All paper submissions will be handled electronically. Please submit 
the paper online at 
http://wi-lab.com/cyberchair/icdm07/scripts/ws_submit.php 

For any questions, please email to: dmu07@comp.polyu.edu.hk.

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Important Dates
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Paper Submission Due:    July 2, 2007
Acceptance Notification: August 1, 2007
Camera Ready:            August 17, 2007

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Workshop Organization
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Program Chairs
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Reynold Cheng
  The Hong Kong Polytechnic University 
  Email: csckcheng@comp.polyu.edu.hk

Jiong Yang
  Case Western Reserve University
  Email: jiong.yang@case.edu


* Program Committee
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- Michael Chau (The University of Hong Kong)
- Lei Chen (Hong Kong University of Science and Technology)
- Mehmet M. Dalkilic (Indiana University)
- Nilesh Dalvi (University of Washington)
- Mohamed Elfeky (Googles Inc.)
- Ada Fu (Chinese University of Hong Kong)
- Robert Gwadera (Helsinki University of Technology)
- Edward Hung (Hong Kong Polytechnic University)
- Dmitri V. Kalashnikov (University of California, Irvine)
- Murat Kantarcioglu (UT Dallas)
- Sun Kim (Indiana University)
- Carson K. Leung (University of Manitoba)
- Nikos Mamoulis (The University of Hong Kong)
- Jennifer Neville (Purdue University)
- Sunil Prabhakar (Purdue University)
- Yufei Tao (Chinese University of Hong Kong)
- Jaideep Vaidya (Rutgers University)
- Kevin Yip (Yale University)
- Man Lung Yiu (Aalborg University)
- Donghui Zhang (Northeastern University)




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For any questions, please email to: dmu07@comp.polyu.edu.hk 
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