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3rd IMA Conference on the Mathematical Challenges of Big Data

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. Hosted by the U.K. Institute of Mathematics and its Applications.
When 10 December 2018 02:35 PM to
11 December 2018 02:35 PM
Where London UK
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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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