REMI: A framework of reusable elements for mining heterogeneous data with missing information

@article{Gal2018REMIAF,
  title={REMI: A framework of reusable elements for mining heterogeneous data with missing information},
  author={A. Gal and D. Gunopulos and N. Panagiotou and Nicol{\'o} Rivetti and Arik Senderovich and Nikolas Zygouras},
  journal={Journal of Intelligent Information Systems},
  year={2018},
  volume={51},
  pages={367-388}
}
Applications targeting smart cities tackle common challenges, however solutions are seldom portable from one city to another due to the heterogeneity of smart city ecosystems. A major obstacle involves the differences in the levels of available information. In this work, we present REMI, which is a mining framework that handles varying degrees of information availability by providing a meta-solution to missing data. The framework core concept is the REMI layered stack architecture, offering two… Expand
4 Citations

References

SHOWING 1-10 OF 29 REFERENCES
Building a generic platform for big sensor data application
  • 26
  • PDF
Urban Data Platforms: An Overview
  • 6
  • PDF
Mining significant semantic locations from GPS data
  • 324
  • PDF
Heterogeneous stream processing for disaster detection and alarming
  • 21
  • PDF
Space and time-dependant bus accessibility: A case study in Rome
  • 17
  • PDF
Big Data: A Survey
  • 1,443
  • PDF
Mining interesting locations and travel sequences from GPS trajectories
  • 1,634
  • PDF
City-Scale Map Creation and Updating using GPS Collections
  • 41
  • PDF
...
1
2
3
...