Table 4.

Data fusion critical aspects

Balancing information from different sources or origins

Managing conflicting, contradicting and inconsistent data

Handling missing values

Differentiating between hard and soft data links, i.e. considering the random processes from which the data are generated as subject to the same parameters, or instead accounting just for covariations, dependencies, similarity/dissimilarity etc.

Establishing loss or objective functions and regularization/penalty terms