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THE THIRD INTERNATIONAL SYMPOSIUM ON LEARNING AND DATA SCIENCES (SLDS 2015)

April 20-22, 2015

Royal Holloway, University of London, UK

http://www.clrc.rhul.ac.uk/slds2015/

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AIMS

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 builds on the core contributions to Data Science made by SLDS 2009 and SLDS 2012. The 3rd Symposium focuses on contemporary practical and theoretical problems as well as on efficient 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.

SCOPE

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

    - Machine Learning Algorithms with Performance Guarantees
    - Bayesian Belief Networks
    - Statistical Learning
    - Machine Learning for Big Data
    - Data Science
    - Complex/Symbolic Data Analysis
    - Visualisation and Verbalisation of Data
    - Deep Learning and Semi-Supervised Learning
    - Data Mining and Cluster Analysis
    - Knowledge Discovery by Modelling

Applications and Challenges:

    - Mining and Learning for Neuroscience
    - Mining and Learning for Omics
    - Text Mining and Social Networks
    - Textual Analysis and Analysis of Semantics
    - Aspects of Knowledge Structures
    - Computational Finance
    - Geometric Data Analysis
    - Open Linked Data
    - Smart Cities
    - Forensics and Security
    - Ethics of Big Data

SPECIAL SESSIONS

The Symposium will include Special Sessions on: 

    - Conformal Prediction and it's Applications (CoPA 2015 Workshop)
    - Geometric Data Analysis
    - Prediction with Expert Advice
    - Non-traditional Learning Methods
    - New Frontiers in Data Analysis for Nuclear Fusion
    - Interpretability in Predictive Modeling
    - Machine Learning for Drug Discovery
    - New Developments in the Analysis of Complex Data

IMPORTANT DATES

    - Paper Submission Deadline: November 21st, 2014
    - Author Notifications: December 19th, 2015
    - Camera-ready Submission Deadline: January 16, 2015
    - Early Registration Deadline: January 16th, 2015
    - Conference Dates: April 20-22, 2015

KEYNOTE SPEAKER

Prof. Vladimir Vapnik
NEC, USA and Royal Holloway, University of London, UK


SUBMISSIONS

Prospective authors are invited to submit their papers by uploading them for the evaluation web site at:  https://www.easychair.org/conferences/?conf=slds2015

Submissions must be uploaded by November 7, 2014 and must be in PDF format no longer than 10 pages including all figures, tables, and references single space, font size of 12. A particular typesetting format to prepare
the papers can be found at: LNAI Springer style (http://www.springer.com/series/1244). Papers must not have been previously published or currently submitted for publication elsewhere. The first page of the paper should include: title of the paper, name, affiliation, postal address, and email address for each author. The first page should also identify the name of the Contact Author and a maximum of 5 topical keywords and an abstract with no more than 150 words.

Submitted papers will be refereed by at least two reviewers in the field for originality, significance, clarity, and technical soundness. Notification and reviews will be communicated via email.

PUBLICATION

All accepted papers will be presented at the conference and published by Springer in a volume of Lecture Notes in Artificial Intelligence (LNAI) series.

Honorary and General Chairs

   - Vladimir Vapnik - NEC, USA and Royal Holloway, University of London, UK
   - Alex Gammerman - Royal Holloway, University of London, UK
   - Volodya Vovk - Royal Holloway, University of London, UK

Organising Committee

    - Zhiyuan Luo (co-chair) - UK
    - Mireille Summa (co-chair) - France
    - Yuri Kalnishkan (co-chair) - UK
    - Myriam Touati - France
    - Janet Hales - UK

Programme Committee

    - Xiaohui Liu (co-chair) - UK
    - Fionn Murtagh (co-chair) - UK
    - Harris Papadopoulos (co-chair) - Cyprus

SPONSORS

    - Royal Statistical Society
    - British Computer Society
    - British Classification Society
    - Classification Society
    - Royal Holloway, University of London

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