*IMA Conference on The Mathematical Challenges of Big Data*
*16 – 17 December 2014 Woburn House, London*
**
*Call for Abstracts***
The Big Data Revolution is one of the main science and technology
challenges of today. While this is multifaceted, mathematics is at the
very core of the challenge – in ranking information from vast networks
in web browsers such as Google, or identifying consumer preferences,
loyalty or even sentiment and making personalised recommendations, the
very scale of big data makes automation necessary and this, in turn,
necessarily relies on mathematical algorithms. The challenge is to
derive value from signals buried in an avalanche of noise arising from
challenging data volume, flow and validity. The mathematical challenges
are as varied as they are important. Whether searching for influential
nodes in huge networks, segmenting graphs into meaningful communities,
modelling uncertainties in health trends for individual patients,
linking data bases with different levels of granularity in space and
time, unbiased sampling, or connecting with infrastructure involving
sensors, privacy protection and high performance computing, answers to
these questions are the key to competitiveness and leadership in this field.
This event will highlight current challenges in mathematical methodology
alongside new mathematical problems arising from Big Data applications.
*//*
*Invited Speakers*
Mike Davies (University of Edinburgh)
David Hand OBE (Imperial College London)
Des Higham (University of Strathclyde)
Stephane Mallat (École Polytechnique, Paris)
Richard Norgate (Lloyds Banking Group)
Patrick Wolfe (University College London)
Panel to be chaired by Andrew Miller, MP
*//*
*Topics of interest*
Papers were invited to describe mathematical challenges specific to the
following topics or their application in large-scale use cases:
Optimal and dynamic sampling
Probably approximately correct methodologies
Uncertainty modelling & generalisation error bounds
Network analysis & community finding
Graph & web mining methods
Trend tracking & novelty detection
Stream data management
Dynamic segmentation & clustering
Transfer learning
Latent models for hierarchical data
Deep learning
Context awareness
Multimodal data linkage
Integration of multi-scale models
Mining of unstructured, spatio-temporal, streaming and multimedia data
Computational intelligence in large sensor networks
Predictive analytics and recommender systems
Real-time forecasting
Access on-demand in distributed databases
Affordable high performance computing
Privacy protecting data mining
Data integrity & provenance methods
Visualization methods
Mathematics underpinning large-scale use cases
*Call for Abstracts – Extended deadline:*
Papers will be accepted for the conference based on a 300-500 word
abstract for oral or poster presentation. We welcome abstracts to be
submitted by *Friday 14 November 2014* by e-mail to
[log in to unmask] <mailto:[log in to unmask]>. Please state
whether your title is intended for oral or poster presentation.
*Conference Fees:*
IMA Member £245
Non-IMA Member £340
IMA Student £150
Non-IMA Student £160
Conference Dinner at Hotel Russell on the evening of 16 December: £45
Please visit the conference webpage for details on registration:
http://ima.org.uk/conferences/conferences_calendar/big_data.html
*Programme Committee*
Paulo Lisboa, Liverpool John Moores University (Chair)
Peter Grindrod, University of Oxford
Giles Pavey, Dunnhumby
Richard Pinch, Cheltenham
Jennifer Scott, Science & Technology Facilities Council
Jared Tanner, University of Oxford
*Further information*
For further information on this conference, please visit the conference
webpage:
http://ima.org.uk/conferences/conferences_calendar/big_data.html
For general conference queries please contact Lizzi Lake, Conference Officer
E-mail: [log in to unmask]
<mailto:[log in to unmask]> Tel: +44 (0) 1702 354 020
Institute of Mathematics and its Applications, Catherine Richards House,
16 Nelson Street, Southend-on-Sea, Essex, SS1 1EF, UK.
______________________________________________________________________
The Institute of Mathematics and its Applications is a not for profit
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______________________________________________________________________
--
Colin Johnson ([log in to unmask]),
Director of Graduate Studies, Faculty of Sciences,
Reader, School of Computing,
University of Kent, Canterbury, UK,
http://www.cs.kent.ac.uk/people/staff/cgj
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