Special Session Mining Streaming and Time-Evolving Data, ECDA2018, Paderborn, Germany

[Georg Krempl]

*** 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

[Georg Krempl]

Dear all,

a short update, because the abstract submission deadline is approaching (April 1st):
Attached is the updated Call for Abstracts / Post-Conference Full Papers, and further information is now available at the conference website
http://groups.uni-paderborn.de/eim-i-fg-huellermeier/ecda2018/call_for_papers.php

Please submit your abstract as plain text via https://express.converia.de/frontend/index.php?sub=201

To summarize the important dates,
Notifications will be on April 30th,
Early Registration ends on May 15th,
Conference is on July 4th-6th, 
Submission of Full Papers (for the post-conference journal special issue) is on September 15th.

Motivation, Aims and Scope of the Special Session:

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.

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" (open access, authors retain the copyright, the journal is hosted by the Karlsruhe Institute of Technology, Germany).


Please let us know if you need any further information, and we are looking forward to see you in Paderborn, Germany, in July!

The organizers - Barbara Hammer, Jurek Stefanowski, Georg Krempl