In recent years, explaining missing answers in the query results achieved from the extracted data has become an attention topic. Several techniques have been developed to do the explanation, however, they posted lots of disadvantages, including incorrect explanations, unreasonable explanations, and non-minimized explanations. In this paper, we propose a novel explanation technique to avoid such unexpected explanations and we guarantee that the generalized explanation is minimum. We propose two algorithms by considering different kinds of modification object values for the attributes satisfying referential integrity constraint. Experimental results show that our approach can efficiently minimize explaining missing answers.
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