Apologies for cross-postings!


Call for Papers

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Workshop on Novel Data Stream Pattern Mining Techniques (StreamKDD)
held in conjunction with the 16th ACM SIGKDD International Conference 
on Knowledge Discovery and Data Mining (KDD-2010),
July 25-28, 2010 in Washington, DC.

URL:   http://lyle.smu.edu/IDA/StreamKDD2010/
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Submission Deadline: May 4, 2010

Workshop Description
Data stream mining gained in importance over the last years because it is
indispensable for many real applications such as prediction and evolution of
weather phenomena; security and anomaly detection in networks; evaluating
satellite data; and mining health monitoring streams. Stream mining algorithms
must take account of the unique properties of stream data: infinite data,
temporal ordering, concept drifts and shifts, demand for scalability etc.
Research on stream learning seems to be scattered along the many application
areas (e.g., sensor data mining, log mining, document stream mining). With this
workshop, we attempt to bring together the advances on those complementary
areas.	

Proceedings will be included in the ACM Digital Library and the best
paper will be published by KDD Explorations.

Topics
* Clustering and classification on streams
* Probabilistic modeling on dynamic data
* Frequent itemset discovery on streams
* Dealing with concept drift
* Change and novelty detection on streams
* Scalable stream mining algorithms
* Visual analytics on streams

We particularly solicit works for challenging application areas, such as:
* Security
* Assisted living
* Patient monitoring
* Traffic monitoring
* Recommendation engines
* Customer lifetime management

Paper Submission
Length of paper: 9 pages or less in ACM template (PDF, US Letter). 
Submission deadline: May 4, 2010, 11:59pm CST 
Submission instructions: http://lyle.smu.edu/IDA/StreamKDD2010/

Important Dates
Submission date for full papers: May 4, 2010
Author notification: May 21, 2010
Submission of camera-ready material for publication: May 28, 2010
Half-day workshop at ACM SIGKDD conference: July 25, 2010 (afternoon) 

Contacts and more Information
http://lyle.smu.edu/IDA/StreamKDD2010/


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