Poulovassilis, Alexandra (2013) Database research challenges and opportunities of big graph data. In: Gottlob, G. and Grasso, G. and Olteanu, D. and Schallhart, C. (eds.) Big Data. Berlin, Germany: Springer Verlag, pp. 29-32. ISBN 9783642394676.
Abstract
Large volumes of graph-structured data are becoming increasingly prevalent in areas such as: social and professional network analysis recommendation services, such as product advertisement, news and media alerts, learning resource recommendation, itinerary recommendation scientific computing: life and health sciences, physical sciences crime investigation and intelligence gathering telecoms network management, for dependency analysis, root cause analysis, location-based service provision linked open data geospatial data business process management: logistics, finance chains, fraud detection, risk analysis, asset management organization management
Metadata
Item Type: | Book Section |
---|---|
School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
Research Centres and Institutes: | Innovation Management Research, Birkbeck Centre for, Bioinformatics, Bloomsbury Centre for (Closed), Birkbeck Knowledge Lab |
Depositing User: | Sarah Hall |
Date Deposited: | 01 Aug 2013 12:21 |
Last Modified: | 09 Aug 2023 12:34 |
URI: | https://eprints.bbk.ac.uk/id/eprint/7888 |
Statistics
Additional statistics are available via IRStats2.