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April 20-23, 2015

Royal Holloway, University of London, UK

Royal Holloway, University of London London Bridge London Bridge London Bridge


Great progress has been made in the past 20 years in Machine Learning and Statistical Learning, Data Analysis and Data Mining. From the statistical analysis of data to data mining, from machine learning to knowledge discovery, the development of data exploration and modelling has overcome numerous challenges and has benefited greatly from varied, often overlapping, paradigms.

By uniting specialists with different expertise and from different disciplines, the objectives of this conference are to compare approaches to data, to deepen understanding of different methodologies, and to focus on the Grand Challenges that must be addressed in the coming years.

The 3rd Symposium is organised jointly by Royal Holloway, University of London and Dauphine Universite Paris and builds on the core contributions to Data Science made by SLDS 2009 and SLDS 2012.

The 3rd Symposium focuses on contemporary and theoretical problems as well as on efficient practical solutions for applied domains which involve Data Analysis, Data Mining, Machine Learning and Statistical Learning contributions.

This Symposium is important for researchers and all who want to keep abreast of developments in data handling and of the consequent results that can be imagined in various applied domains.

The focus of the Symposium includes, but is not limited to, the following themes:

The Symposium will include the following Special Sessions:

A special session at the Symposium will be devoted to the memory of Alexey Chervonenkis, who tragically died in September 2014.

Keynote Speakers

Prof. V. Vapnik Prof. Vladimir Vapnik Prof. B. Schölkopf Prof. Bernhard Schölkopf


RSS Royal Holloway BCS Dauphine Universite Paris
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