3RD IMA CONFERENCE ON THE MATHEMATICAL CHALLENGES OF BIG DATA
Monday 10th - Tuesday 11th December 2018
Double Tree by Hilton Hotel London - West End
CALL FOR ABSTRACTS - Extended deadline
Data-driven analysis is increasingly on the critical path for
performance advantage in many organisations, both public and
commercial. This raises continuous challenges for rigorous analysis
to derive reliable insights from data at very large scale, often with
potential artefacts and sampling bias, adding to change
variation. This conference brings together researchers and
practitioners to signpost developments in the state-of-the-art and
find common ground where theory and practice meet to maximise impact
in the digital economy. It is a forum for networking and to showcase
the very latest research in a broad range of topics. Each session
will feature an invited talk by an expert speaker.
Invited Speakers: Sofia Olhede, UCL; Coralia Cartis, Oxford
University; Christian Steinruecken, Cambridge University; Armando
Vieira, Direct Line; Noel-Ann Bradshaw and Serge Plata, Sainsbury's
Argos; Peter Beckman, Argonne National Laboratory
Topics of interest: Mathematical challenges arising from Big Data;
Mathematical Innovation in Data Science; Multidisciplinary
applications of Big Data; Data assimilation and inverse problems from
novel sensors; Applications of block-chain including cryptocurrencies;
Persistent homology; Optimal and dynamic sampling; Stream data
management; Uncertainty modelling & generalisation error bounds;
Network analysis & web mining methods; Trend tracking & novelty
detection; Dynamic segmentation & clustering; Deep learning; Transfer
learning; Context awareness; Multimodal data linkage; Integration of
multi-scale models; Mining of unstructured, spatio-temporal &
multimedia data; IoT and large sensor networks; Predictive analytics
and recommender systems; Real-time forecasting; Access on-demand in
distributed databases; Privacy protecting data mining; Homomorphic
encryption; Data integrity & provenance methods; Visualization
methods; Mathematics underpinning large-scale use cases
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 Monday 15 October 2018 via
https://my.ima.org.uk. Please
indicate whether your title is intended for oral or poster presentation.
Registration is open via
https://my.ima.org.uk/ Further information:
https://ima.org.uk/9104/3rd-ima-conference-on-the-mathematical-challenges-of-big-data/
Отправлено: 10.10.18 10:04. Заголовок: IMA CONFERENCE ON THE MATHEMATICAL CHALLENGES OF BIG DATA
