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MSTED 2018 : Mining Streaming and Time-Evolving Data (ECDA spec. session)

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Link: http://groups.uni-paderborn.de/eim-i-fg-huellermeier/ecda2018/sci_program.php
 
When Jul 4, 2018 - Jul 6, 2018
Where Paderborn (Germany)
Submission Deadline Apr 1, 2018
Notification Due Apr 30, 2018
Final Version Due Sep 15, 2018
Categories    data mining   data streams   concept drift   time series
 

Call For Papers

Recent years have seen a steep increase in the availability of data, which is often generated sequentially and by non-stationary processes. Mining such streaming and time-evolving data often requires to consider the ordering and temporal context of instances, which has been the subject of different lines of research: In data stream mining, the focus of analysis is mostly on the recently observed instances, and instances have a limited life cycle due to adaptation and forgetting mechanisms. In time series analysis, on the other hand, the internal structure of data points taken over time is considered. While the focus of this special session is on the problem of data stream mining, its aim is to present novel ideas from both lines of research that stimulate exchange between their communities.

Session organizers: Barbara Hammer, Georg Krempl, Jerzy Stefanowski

IMPORTANT DATES
▪ Abstract submission deadline: April 1, 2018
▪ Notification of abstract acceptance: April 30, 2018
▪ Early registration deadline: May 15, 2018
▪ Registration deadline: June 15, 2018

Full papers may be later submitted to journal special issues (details will be given later)

More details on submission procedure, formatting, publication details and conference registration are available via web page of the main ECDA 2018 conference

www.ecda2018.de

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