-------- Weitergeleitete Nachricht --------
Betreff: [WI] Special Session Mining Streaming and Time-Evolving Data, ECDA2018, Paderborn, Germany
Datum: Tue, 06 Feb 2018 20:18:58 +0100
Von: Georg Krempl <georg.krempl@iti.cs.uni-magdeburg.de>
Antwort an: Georg Krempl <georg.krempl@iti.cs.uni-magdeburg.de>
An: wi@lists.kit.edu


*** Call for Abstract Submissions ***

Mining Streaming and Time-Evolving Data
Special Session at the European Conference on Data Analysis ECDA,
4th-6th July 2018, Paderborn, Germany.
http://groups.uni-paderborn.de/eim-i-fg-huellermeier/ecda2018/


Organizers of the Special Session:
  Barbara Hammer <bhammer at techfak.uni-bielefeld.de>
  Georg Krempl <g.m.krempl at uu.nl>
  Jurek Stefanowski <jerzy.stefanowski at cs.put.poznan.pl>

Topic:
  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.

Important Dates:
  Abstract submission deadline: April 1, 2018
  Notification of abstract acceptance or rejection: April 30, 2018
  Early registration deadline: May 15, 2018
  Registration deadline: June 15, 2018
  Full paper submission: September 15, 2018

Publication:
  Accepted abstracts will be published in the book of abstracts and
made available at the conference. Accepted full papers will be
published in the Journal "Archives of Data Science, Series A" .

Formatting Guidelines:
  Information on the format required for abstracts and full papers will
be made available soon on
http://groups.uni-paderborn.de/eim-i-fg-huellermeier/ecda2018/call_for_papers.php



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