Imperial College London > Talks@ee.imperial > Type the title of a new list here > Big Data Analytics for Smart Cities
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If you have a question about this talk, please contact Wei Dai. Abstract More than half of the world’s population are now living in urban areas placing city infrastructures under increasing pressure. With the development of internet and mobile technology, cities and people are more connected than ever which generated large volume of data. This talk will show cases of making use of big data in transport, crime, business and health to gain insight of people and places and to deliver intelligent service and government towards smart cities. Key words: Big Data Analytics; Space-Time; Smart card data; Smart Transport, Intelligent Policing, public health Biography Tao Cheng is a Professor in GeoInformatics, the founder and Director of SpaceTimeLab for Big Data Analytics (www.ucl.ac.uk/spacetimelab) at University College London, a multi-disciplinary research centre that aims to gain actionable insights from geo-located and time-stamped data for government, business and society. Her research interests span network complexity, Geocomputation, spatio-temporal analytics (modelling, prediction, clustering, visualisation and simulation) and data mining with applications in transport, crime, health, business, social media, and natural hazards. She has studied and lectured in China, the Netherlands, Hong Kong, France and the UK. She has worked with many government and industrial partners in the UK including Transport for London, the London Metropolitan Police Service, Public Health England and Arup. This talk is part of the Type the title of a new list here series. This talk is included in these lists:
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