Difference between revisions of "MOUND 2009"
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{{Event | {{Event | ||
| + | | Acronym = MOUND 2009 | ||
| + | | Title = The 1st Workshop on Management and mining Of UNcertain Data | ||
| + | | Type = Workshop | ||
| Field = Data mining | | Field = Data mining | ||
| + | | Homepage = www.cse.ust.hk/~mound/ | ||
| + | | Start date = Mar 29, 2009 | ||
| + | | End date = Mar 29, 2009 | ||
| + | | City= Shanghai | ||
| + | | State = | ||
| + | | Country = China | ||
| Abstract deadline = | | Abstract deadline = | ||
| Submission deadline = Oct 31, 2008 | | Submission deadline = Oct 31, 2008 | ||
| Notification = Dec 15, 2008 | | Notification = Dec 15, 2008 | ||
| Camera ready = Jan 9, 2009 | | Camera ready = Jan 9, 2009 | ||
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Revision as of 15:00, 3 November 2021
Event Rating
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List of all ratings can be found at MOUND 2009/rating
| MOUND 2009 | |
|---|---|
The 1st Workshop on Management and mining Of UNcertain Data
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| Dates | Mar 29, 2009 (iCal) - Mar 29, 2009 |
| Homepage: | www.cse.ust.hk/~mound/ |
| Location | |
| Location: | Shanghai, China |
| Important dates | |
| Submissions: | Oct 31, 2008 |
| Notification: | Dec 15, 2008 |
| Camera ready due: | Jan 9, 2009 |
| Table of Contents | |
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. 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 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. All accepted workshop papers will be included in a proceeding published by the IEEE Computer Society Press. For any questions, please email to: mound@cse.ust.hk Important Dates Paper Submission Due: October 31, 2008 9PM PT Acceptance Notification: December 15, 2008 Camera Ready: January 9, 2009
This CfP was obtained from WikiCFP