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Context accumulation is
|“||the incremental process of relating new data to previous data and remembering these relationships, for improved data accuracy. It is an advanced computing process related to entity analytics in which a system is able to predict relevance and importance dynamically, based on the accumulation and persistence of context produced by ingested data. Algorithms are generated using this contextual data and then employed to determine whether newly introduced data have a place or relationship with historical data. Once this determination is made, the system then saves and uses this new observation when evaluating other introduced data.||”|