Meetings of Professional Bodies in Mathematics in the United Kingdom

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3rd IMA Conference on The Mathematical Challenges of Big Data
10 Dec 2018 - 11 Dec 2018 • London, United Kingdom
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.
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.
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AIP Conference Proceedings
Last updated: 11 April 2018