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UMMM 2010 : Workshop on Uncertain Mobile data Management and Mining


When May 23, 2010 - May 23, 2010
Where Kansas City, Missouri, USA
Submission Deadline Feb 14, 2010
Notification Due Mar 14, 2010
Final Version Due Mar 17, 2010
Categories    databases   data mining   mobile

Call For Papers

Workshop on Uncertain Mobile data Management and Mining (UMMM 2010)

In conjunction with the 11th International Conference on Mobile Data Management (MDM 2010)
Kansas City, Missouri, USA, May 23rd 2010

Conference Web Site:


Recently, the wide usage of mobile devices, such as mobile phones and PDAs, along with broad deployment of wireless networks and positioning technology (e.g., GPS), have given rise to many real applications, such as object tracking, data sharing, and location-based services, etc. The data produced by these applications are often uncertain due to the device errors or other environmental factors. Therefore, it is necessary to study new data management and mining techniques for the uncertain mobile data.

Topics of Interest

The focus of this workshop is on uncertain data management and mining over mobile databases. The objective of this workshop is to bring together researchers and practitioners with mobile networking background, uncertain data research interests, and distributed computing systems research skills to discuss all aspects of the emerging uncertain data management and mining on mobile data. We are soliciting both theoretical and novel applications papers. The topics of interest include, but are not limited to:

- Uncertain data management in sensor and mobile ad hoc networks
- Uncertain data management in mobile peer-to-peer networks
- Uncertain data mining for mobile applications
- Uncertain data stream processing and mining in mobile/sensor networks
- Indexing and query processing for uncertain moving objects
- Location tracking of uncertain moving objects
- Query processing and optimization for mobile uncertain data
- User interfaces and usability issues form uncertain mobile applications
- Uncertain Event identification and notification
- Uncertain data stream query processing and mining for mobile sensor networks

The workshop will be organized in a manner designed to foster interaction and exchange of ideas among the participants.

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 UMMM'10. Long paper submissions should be limited to a maximum of 8 pages, and short paper submissions should be limited to a maximum of 4 pages in the IEEE 2-column format, the same as the camera-ready format (see the IEEE Computer Society Press Proceedings Author Guidelines for MDM 2010). 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:

For any questions, please email to:

Important Dates

Paper Submission Due: February 14, 2010
Acceptance Notification: March 14, 2010
Final copy: March 17, 2010
Camera Ready: May 23, 2010

Workshop PC Co-Chairs

Lei Chen
Hong Kong University of Science and Technology

Reynold Cheng
University of Hong Kong

Program Committee

Yoshiharu Ishikawa (Nagoya University)
Panos Karras (National University of Singapore)
Wen-Chien Lee (The Penn State University)
Feifei Li (Florida State University)
Xiaofeng Meng (Renmin University of China)
Mohammed Mokbel (University of Minnesota - Twin Cities)
Matthias Renz (Ludwig-Maximilians-Universit?t M?nchen)
Wei Wang (The University of New South Wales)
Xiaokui Xiao (Nanyang Technological University)
Janliang Xu (Hong Kong Baptist University)
Baihua Zheng (Singapore Management University)
Xiaofang Zhou (The University of Queensland)

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