UK Workshop on Computational Intelligence

 

September 9-11, 2003, University of Surrey, Guilford, United Kingdom

 

Special session on Optimisation and Machine Learning in Data Science

Large amounts of data are transforming science and engineering, including healthcare, finance, and businesses, and 'big data' is becoming a slogan. Optimisation and machine learning are both high impact areas for today's emerging data science. The aim of this Special Session is to explore new synergies between optimisation and machine learning, and to foster multi-disciplinary discussions in the context of large scale data mining problems.

Research contributions of no more than 8 pages in IEEE format are invited for oral and poster presentation at the Special Session. Innovative ideas and work in progress are especially encouraged.

Topics of interest include, but are not limited to the following:

- Hypotheses in data science that call for optimisation or/and machine learning techniques
- New data representations (e.g. compressive and sparse representations)

- Novel combinations of machine learning and optimisation able to tackle large scale problems
- Developments of new models, methodologies and algorithms to advance optimisation and data mining

- Practical systems and software to address various optimisation problems that arise in machine learning and data mining

All submissions will be peer reviewed and accepted papers will be published in the conference proceedings and will be indexed in IEEE Xplore. Further submission details will be posted on the main UKCI2013 web site.

 

IMPORTANT DATES

Paper submission deadline:
May 30, 2013
Paper acceptance:
July 8, 2013

Final paper submission: August 2, 2013

Workshop: September 9-11, 2013

Contact:

Ata Kaban

Special Session Chair

 

A.Kaban [at] cs.bham.ac.uk