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Smart city is a connection of physical and social infrastructure together with the information technology to leverage the collective intelligence of the city. Cities will build huge data centres. Thes...
Geo-Visualisation (GV) and Visual Analytics (VA) of geo-spatial data have become a focus of interest for research, industries, government and other organisations for improving the mobility, energy eff...
Individuals and organizations face a tension between (1) the explosion in the amount of valuable data that can be collected and processed and (2) the liability of possession and the threat of exposure...
This paper presents an endeavour of integration of GIS (Geographical Information System) and BIM (Building Information Modelling) for indoor geovisual analytics. The merits of two types of technologie...
Information visualization leverages the human visual system to support the process of sensemaking, in which information is collected, organized, and analyzed to generate knowledge and inform action...
Large online courses often assign problems that are gradable by simple checks such as multiple choice, but these checks are inappropriate for domains in which students may produce an infinity of corre...
This work presents an Adaptively Secure Broadcast Mechanism (ASBM) based on threats analytics and case based reasoning. It defines the security intelligence of a broadcast system comprehensively with ...
This paper presents the semantic indexing of TerraSAR-X images and in situ data. Image processing together with machine learning methods, relevance feedback techniques, and human expertise are used to...
We consider the problem of scheduling the transportation of items of diverse categories from multiple geographically distributed sources to multiple destinations, e.g. evacuation from a disaster-a...
Spatial data infrastructures will shift from data catalogues to federated platforms for the development of low cost and low risk applications. The GEOeBIZ project will contribute to this development...
The proliferation of smart meter deployments has led to significant interest in analyzing home energy use as part of the emerging 'smart grid'. As buildings account for nearly 40% of society's energy ...
The classification of remotely sensed data and the follow-up change detection and analysis inherit the problems of large amounts of and possibly uncertain, incomplete and contradictory data, as well a...
Big data security analytics is an emerging approach to intrusion detection at the scale of a large organization. It involves a combination of automated and manual analysis of security logs and alerts ...
Large scale archives can benefit the application of visual analytics methodologies aimed at characterizing their contents by the effective inclusion of the human analyst in the interpretation loop.
We develop a new model and algorithms for machine learning-based learning analytics, which estimate a learner's knowledge of the concepts underlying a domain, and content analytics, which estimate the...

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