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 © 2013 Springer-Verlag.
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CITATION STYLE
Poulovassilis, A. (2013). Database research challenges and opportunities of big graph data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7968 LNCS, pp. 29–32). https://doi.org/10.1007/978-3-642-39467-6_6
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