Big data

Recent technology allows for the collection of massive volumes of data. These datasets are not only huge, but complex, including unstructured, heterogeneous data, image, video, and human language. Hence, entirely innovative approaches are needed to handle them.

We use data science methods to build predictive models to help with decision support tasks.
 
Our research focus is on identifying value that big data can provide from the discovery of strategic information up to its analysis and exploitation. We delve into different ways of representing and analysing big data to make it amenable to valuable insight discovery.
 
Our group  collaborates with international partners from academia and the public and private sectors. It receives funding from national and international funding agencies.
 
Some of the areas on which we focus are:
●    Data quality and healthcare big data,
●    Big data in emergency management,
●    Knowledge engineering techniques and applications for organization, analysis, management, and reuse of data
●    Data analytics in healthcare, energy, transport, aquaculture and disaster response.


 

Publications

Articles

  • News
    ""

    Vestlandsforsking brings together researchers from the United States, Japan, Hong Kong and Norway in Bergen to discuss how big data can help manage emergencies.

  • News
    LeMO kick-off

    Vestlandsforsking will coordinate a new EU-funded research project to explore the use of big data in the European transport sector. Project kick-off was organized in Brussels this week.

  • Recent technology allows for the collection of massive volumes of data. The challenge of transforming these data into valuable and actionable information is an activity known as big data (or data science). These datasets are not only huge, but complex, including unstructured, heterogeneous data, image, video, human language, and hence entirely innovative approaches are needed to handle them.

    Vestlandsforsking specializes in the utilising of big data and semantic science for data integration, analysis and process management.