OptLearn 2013 - Special Session on Combining Learning and Optimisation for Intelligent Data Engineering

IDEAL'13 Special Session on Combining Learning and Optimisation for Intelligent
Data Engineering
Techniques of Machine Learning and Optimisation are workhorses in intelligent data
engineering and in today's emerging data science. Finding ways to combine learning
with optimisation has tremendous potential to provide powerful computational
intelligence techniques. In fact, optimisation is a key in many machine learning
and data mining algorithms; at the same time optimisation methods that incorporate
some form of learning strategy have an added level of sophistication and ability
to explore large search spaces.
This special session aims at exploring new synergies and multi- disciplinary
perspectives between optimisation and machine learning in the context of
intelligent data engineering and large scale data mining problems.
High quality original submissions are solicited for presentation at the Special
Session. Papers should not exceed 8 pages and must be formatting instructions of
the main conference. All submissions will be peer-reviewed, and all accepted
papers will be included in IDEAL 2013 Proceedings published by Springer in the
LNCS series.
Important dates:
Paper submission: 10 June 2013
Notification to authors: 5 July 2013
Conference: 20-23 October 2013
For more information, see the special session web site
http://www.cs.bham.ac.uk/~axk/ss_IDEAL13_Opt+Learn...