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Semantics of Voids within Data: Ignorance-Aware Machine Learning
2021
ISPRS International Journal of Geo-Information
Operating with ignorance is an important concern of geographical information science when the objective is to discover knowledge from the imperfect spatial data. Data mining (driven by knowledge discovery tools) is about processing available (observed, known, and understood) samples of data aiming to build a model (e.g., a classifier) to handle data samples that are not yet observed, known, or understood. These tools traditionally take semantically labeled samples of the available data (known
doi:10.3390/ijgi10040246
fatcat:jgvcd3kxxnfjzha7nx2zextcvy