LISTSERV mailing list manager LISTSERV 16.0

Help for CLASS-L Archives


CLASS-L Archives

CLASS-L Archives


CLASS-L@LISTS.SUNYSB.EDU


View:

Message:

[

First

|

Previous

|

Next

|

Last

]

By Topic:

[

First

|

Previous

|

Next

|

Last

]

By Author:

[

First

|

Previous

|

Next

|

Last

]

Font:

Proportional Font

LISTSERV Archives

LISTSERV Archives

CLASS-L Home

CLASS-L Home

CLASS-L  March 2019

CLASS-L March 2019

Subject:

CfP Workshop EvoLearn-BF - Evolutionary classification and clustering, concept drift, novelty detection in big/fast data context

From:

"CUXAC, Pascal" <[log in to unmask]>

Reply-To:

Classification, clustering, and phylogeny estimation

Date:

Tue, 5 Mar 2019 12:09:35 +0000

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (149 lines)

** Apologies for cross-posting **

Workshop EvoLearn-BF - Evolutionary classification and clustering, concept drift, novelty detection in big/fast data context

Wellington, New Zealand, 
June 10, 2019


https://sites.google.com/view/evolearn


in conjunction with

CEC 2019
2019 IEEE Congress on Evolutionary Computation, Wellington, New Zealand, June 10-13, 2019 
http://www.cec2019.org/index.html



== CALL FOR PAPERS ==


Aims: 
This workshop aims to offer a meeting opportunity for academics and industry-related researchers, 
belonging to the various communities of Computational Intelligence, Machine Learning, Experimental Design, 
Data Mining and Big/Fast Data Management to discuss new areas of incremental classification, 
concept drift management and novelty detection and on their application to analysis of time varying information 
and huge dataset of various natures. 
Another important aim of the workshop is to bridge the gap between data acquisition or experimentation 
and model building.



Topics of interest to the workshop include (but are not limited to):

• Novelty detection algorithms and techniques
• Semi-supervised and active learning approaches
• Machine learning for data streams
• Adaptive hierarchical, k-means or density based methods
• Adaptive neural methods and associated Hebbian learning techniques
• Multiview diachronic approaches
• Probabilistic approaches
• Distributed approaches
• Graph partitioning methods and incremental clustering approaches based on attributed graphs
• Incremental clustering approaches based on swarm intelligence and genetic algorithms
• Evolving classifier ensemble techniques
• Incremental classification methods and incremental classifier evaluation
• Dynamic variable selection techniques
• Clustering of time series 
• Visualization methods for evolving data analysis results


The list of application domain is includes, but it is not limited to:

• Evolving textual information analysis
• Evolving social network analysis
• Dynamic process control and tracking
• Intrusion and anomaly detection
• Genomics and DNA microarray data analysis
• Adaptive recommender and filtering systems
• Scientometrics, webometrics and technological survey


Chairs:

• Jean-Charles Lamirel, SYNALP-LORIA, Campus Scientifique, Vandoeuvre les Nancy, France
([log in to unmask]) 
• Pascal Cuxac, INIST-CNRS, 2 allee du Parc de Brabois, Vandoeuvre les Nancy, France
([log in to unmask])
• Mustapha Lebbah, Laboratoire d'Informatique de Paris-Nord (LIPN), Paris 13 University, Villetaneuse, France
([log in to unmask])


Invited speaker:

• Albert Bifet, Télécom-ParisTech - France / University of Waikato - New Zealand

Albert Bifet is Professor at Data, Intelligence and Graphs (DIG) LTCI, Télécom ParisTech (France) 
and University of Waikato (New Zealand). 
His research focuses on Artificial Intelligence, Big Data Science, and Machine Learning for 
Data Streams.

Albert Bifet is co-author of the book “Machine Learning for Data Streams” of MIT Press 
and co-leading the open source projects MOA Massive On-line Analysis and Apache SAMOA 
Scalable Advanced Massive Online Analysis.


 Important Dates:

• Paper submission: May 1, 2019
• Notification of acceptance: May 15, 2019
• Camera-ready: May 30, 2019
• Conference: June 10, 2019


Submission instructions:

The objective of this workshop is to facilitate presentations and discussions to share experience 
and knowledge on the issues related to incremental learning. 

May be submitted:

• Extended summaries (4 pages)
• Long articles (maximum 12 pages)
• Software demonstration proposals (4 pages)

Many kinds of submissions are also welcome :

• Academic contributions 
• Contributions on the practical relevance of research work or models, whether from industry or academia, 
  or with collaborations between the two
• Submission of well-articulated positions, industrial experiences and ongoing work

For demonstrations: an arranged oral presentation should be prepared. 
Time will also be provided in the program for demos. 

Submission format should be compliant with the one of the CEC 2019 conference :
http://cec2019.org/papers.html#submission

Reviewing for CEC-EvoLearn 2019 will be blind: reviewers will not be presented with the identity of 
paper authors. To allow for blind review, author names in a submitted paper should be replaced by 
the unique tracking number assigned by the conference website at the submission of an electronic abstract. 
Authors should avoid writing anything that makes their identity obvious in the text. 

Please use submission link : 
https://easychair.org/conferences/?conf=evolearnbf2019 

After the workshop, if the quantity and quality of submissions justifies a special journal issue, 
authors of selected papers will be invited to re-submit their work to be considered for inclusion 
in a special issue of a journal.​




Pascal Cuxac

------------------------------------
DPI-SRDE
INIST-CNRS
2, allée du parc de Brabois
CS 10310
54519 Vandoeuvre lès Nancy
France

+33 (0)3 83 50 46 00

https://www.researchgate.net/profile/Pascal_Cuxac
https://sites.google.com/view/pascalcuxac
------------------------------------

Top of Message | Previous Page | Permalink

Advanced Options


Options

Log In

Log In

Get Password

Get Password


Search Archives

Search Archives


Subscribe or Unsubscribe

Subscribe or Unsubscribe


Archives

July 2019
May 2019
March 2019
January 2019
December 2018
October 2018
June 2018
May 2018
March 2018
November 2017
September 2017
July 2017
May 2017
April 2017
March 2017
February 2017
January 2017
October 2016
September 2016
August 2016
July 2016
May 2016
April 2016
March 2016
February 2016
January 2016
December 2015
November 2015
October 2015
September 2015
August 2015
July 2015
June 2015
May 2015
April 2015
March 2015
January 2015
December 2014
November 2014
October 2014
September 2014
August 2014
July 2014
June 2014
May 2014
April 2014
March 2014
February 2014
December 2013
November 2013
October 2013
July 2013
June 2013
May 2013
April 2013
March 2013
February 2013
January 2013
December 2012
November 2012
October 2012
August 2012
July 2012
June 2012
May 2012
April 2012
March 2012
February 2012
January 2012
December 2011
November 2011
October 2011
September 2011
August 2011
July 2011
June 2011
May 2011
April 2011
March 2011
February 2011
January 2011
December 2010
November 2010
October 2010
September 2010
August 2010
July 2010
June 2010
May 2010
April 2010
March 2010
February 2010
January 2010
December 2009
November 2009
October 2009
September 2009
July 2009
June 2009
May 2009
April 2009
March 2009
February 2009
January 2009
December 2008
November 2008
October 2008
September 2008
July 2008
June 2008
May 2008
April 2008
March 2008
February 2008
January 2008
December 2007
November 2007
September 2007
August 2007
July 2007
June 2007
May 2007
April 2007
March 2007
February 2007
January 2007
December 2006
November 2006
October 2006
September 2006
August 2006
July 2006
June 2006
May 2006
April 2006
March 2006
February 2006
January 2006
December 2005
November 2005
October 2005
September 2005
August 2005
July 2005
June 2005
May 2005
April 2005
March 2005
February 2005
January 2005
December 2004
November 2004
October 2004
September 2004
August 2004
July 2004
June 2004
May 2004
March 2004
February 2004
January 2004
December 2003
November 2003
October 2003
September 2003
August 2003
July 2003
June 2003
May 2003
April 2003
March 2003
February 2003
January 2003
December 2002
November 2002
October 2002
September 2002
August 2002
July 2002
June 2002
May 2002
April 2002
March 2002
February 2002
January 2002
December 2001
November 2001
October 2001
September 2001
August 2001
July 2001
June 2001
May 2001
April 2001
March 2001
February 2001
January 2001
December 2000
November 2000
October 2000
September 2000
August 2000
July 2000
June 2000
May 2000
April 2000
March 2000
February 2000

ATOM RSS1 RSS2



LISTS.SUNYSB.EDU

CataList Email List Search Powered by the LISTSERV Email List Manager