The 1st Workshop on Management and mining Of UNcertain Data

 (MOUND 2009)
In conjunction with ICDE 2009

 March 29th 2009, Shanghai, China
   
HOME | PAPER SUBMISSION | HOTEL | ACCEPTED PAPERS | PROGRAM | KEYNOTE

General Chair

Xuemin Lin

University of New South Wales

Program Chairs
 

Lei Chen

Hong Kong University of Science and Technology


Reynold Cheng
The Univeristy of Hong Kong


Wei Wang
 University of New South Wales


PC Members

Michael Chau
Univ. of Hong Kong
Mohamed G. Elfeky
Google Inc.
Edward Hung
Hong Kong Polytechnic Univ.
Dmitri V. Kalashnikov
University of California, Irvine
Carson K. Leung
Univ. of Manitoba

Mohamed F. Mokbel

University of Minnesota, Twin Cities
Jennifer Neville
Purdue Univ.
Sunil Prabhakar
Purdue Univ.
Yufei Tao
Chinese Univ. of Hong Kong
Jaideep Vaidya
Rutgers Univ.
Kevin Yip
Yale Univ.

Xiang Lian
HKUST.

Jianliang Xu
Hong Kong Bapatis Univ.

Ying Zhang
University of New South Wales

Wenjie Zhang
University of New South Wales 



For any questions, please email to:
mound@cse.ust.hk

Workshop Goals


Recently, uncertain data management and mining become a critical issue in many real applications, such as sensor data monitoring, location-based services, object identification, and moving object search. Unlike exact data, uncertain data are often represented as a set of discrete samples or a probability density function, which raises new challenges on analyzing, querying, and mining the uncertain data effectively and efficiently. . The goal of the 1st workshop on Management and mining Of UNcertain Data  (MOUND 2009) is to investigate key issues related to the data management and mining over uncertain data. Specifically, we would like to explore uncertain data management issues such as data representation, various types of queries, and indexes. Meanwhile, we will study the new data mining techniques on data cleaning, clustering, and classification over uncertain data.

News:

Sept 25, 2008, Prof.Sunil Prabhakar will give a keynote speech to MOUND 2009. Please check the details here.
 
Topics of Interest

Topics related to the data management and mining issues of uncertain data are of interest. These include, but are not limited to:
  • Uncertain data representation
  • Queries over uncertain data
  • Indexes on uncertain data
  • Uncertain streams management
  • Mining probabilistic databases;
  • Mining spatially- and temporally- uncertain data;
  • Mining biological data with noises;
  • Scalable evaluation of probabilistic queries;
  • Data cleansing and error function;
  • Mining streams of uncertain data.

Paper Submission


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 MOUND'09. Paper submissions should be limited to a maximum of 8 pages in the IEEE 2-column format, the same as the camera-ready format (see the IEEE Computer Society Press Proceedings Author Guidelines for ICDE09). All papers will be reviewed by the Program Committee on the basis of technical quality, relevance to data mining, originality, significance, and clarity. All accepted workshop papers will be included in a proceeding published by the IEEE Computer Society Press.

Please submit your papers using the following submission site:

https://cmt.research.microsoft.com/MOUND2009/

For any questions, please email to: mound@cse.ust.hk. .

 

Important Dates

Paper Submission Due: Dec 7th, 2008 9PM PT
Acceptance Notification: December 28th, 2008
Camera Ready: January 6th, 2009

Sponsorship
We sincerely thank the very kind sponsorship from  EII.
Last updated: Nov 22nd, 2008