[ABE-L] Fwd: 2nd IMA Conference on The Mathematical Challenges of Big Data

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> De: Pamela Bye <pam.bye em IMA.ORG.UK>
> Data: 3 de agosto de 2016 08:04:35 BRT
> Para: allstat em JISCMAIL.AC.UK
> Assunto: 2nd IMA Conference on The Mathematical Challenges of Big Data
> Responder A: Pamela Bye <pam.bye em IMA.ORG.UK>
> 
> 1 – 2 December 2016                      Mary Ward House, London
> 
> CALL FOR ABSTRACTS
> 
> Big data and data science are topics of the moment. Among the raft of conferences on these subjects few have a clear focus on the underpinning theoretical methodologies to maximise the information that can be extracted in the presence of inherent uncertainties, sampling bias, data streams, data linkage and all of the other specific features of so-called big data applications.  This conference will showcase work by young and established researchers advancing the state-of-the-art on a rigorous mathematical basis. Alongside new methodology there will be application strands led by industry to showcase the power of mathematical approaches in practical applications. Each session will feature an invited talk by an expert speaker who will review an advanced area of current research.  
> 
> Invited Speakers
> 
> Niall Adams, Imperial College London
> Peter Diggle, University of Lancaster
> Mark Girolami, University of Warwick
> Peter Grindrod, University of Oxford
> Carola-Bibiane Schönlieb, University of Cambridge
> 
> Topics of interest
> 
> Papers should 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 
> 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 30th September 2016 by e-mail to conferences em ima.org.uk. Please state whether your title is intended for oral or poster presentation. 
> 
> Programme Committee
> Paulo Lisboa, Liverpool John Moores University (Chair)
> Iain Duff, STFC, Rutherford 
> 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://www.ima.org.uk/conferences/conferences_calendar/big-data-2016.html 
> 
> For general conference queries please contact Lizzi Lake, Conference Officer
> E-mail: conferences em ima.org.uk              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. 
> 
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> 
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> 
> to listserv em jiscmail.ac.uk, leaving the subject line blank.
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