Data Fusion Architecture of Heterogeneous Sources Obtained From a Smart Desk

@inproceedings{MuozBentez2018DataFA,
  title={Data Fusion Architecture of Heterogeneous Sources Obtained From a Smart Desk},
  author={Julio Mu{\~n}oz-Ben{\'i}tez and G. Molero-Castillo and E. Ben{\'i}tez-Guerrero},
  year={2018}
}
Abstract A context-aware system uses heterogeneous data sources to adapt and provide services to the user according to his needs, localization, or his interaction with the environment. However, the use of heterogeneous sources faces various problems caused by the volume of this data, such as high dimensionality, different formats, missing and repetitive data, and high dispersion, among others. This generates data inconsistency, which must be detected in time to avoid erroneous context analysis… Expand

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