IMA Conference on Big Data
Date 16 – 17 December 2014 Location Woburn House, LondonPROGRAMME
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, 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, MPTopics 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 caseConference Fees
IMA Member £245 Non-IMA Member £340 IMA Student £150 Non-IMA Student £160 Conference fees include refreshments and lunches throughout the conference. Conference Dinner at Hotel Russell on the evening of 16 December £45 To register for this event, please download, complete and return the application form.Programme Committee
Paulo Lisboa (Liverpool John Moores University) - Chair; Peter Grindrod (University of Oxford); Giles Pavey (dunnhumby); Richard Pinch (GCHQ); Jennifer Scott (STFC Rutherford Appleton Laboratory); Jared Tanner (University of Oxford).
