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={Avigdor Gal and Dimitrios Gunopulos and Nikolaos 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… 
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