Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- demonstrationNovember 2018
rasdaman: Spatio-temporal datacubes on steroids
SIGSPATIAL '18: Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information SystemsPages 604–607https://doi.org/10.1145/3274895.3274988We demonstrate the rasdaman ("raster data manager") scalable datacube engine in a series of multi-dimensional live scenarios of spatio-temporal datacube analytics, distributed processing in federations, as well as simple, rapid construction of ...
- posterNovember 2018
R-Grove: growing a family of R-trees in the big-data forest
SIGSPATIAL '18: Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information SystemsPages 532–535https://doi.org/10.1145/3274895.3274984The rapid growth of big spatial data urged the research community to develop several big spatial data systems. Regardless of their architecture, one of the fundamental requirements of all these systems is to partition the data efficiently across ...
- research-articleNovember 2018
Scalable hybrid similarity join over geolocated time series
- Georgios Chatzigeorgakidis,
- Kostas Patroumpas,
- Dimitrios Skoutas,
- Spiros Athanasiou,
- Spiros Skiadopoulos
SIGSPATIAL '18: Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information SystemsPages 119–128https://doi.org/10.1145/3274895.3274949A geolocated time series is a sequence of values associated with a geolocation, such as measurements provided by a sensor installed at a certain location. In this paper, we address the problem of hybrid similarity joins over such geolocated time series. ...
