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Small changes in the context, big changes in the concept lattice

A concept lattice can be exponentially large in the size of its formal context. Sometimes this can be due to noise in data. We'll study a few heuristics to filter out noisy concepts or select the most interesting concepts in a large lattice built from real data: stability and separation indices, concept probability, iceberg lattices. We will also talk about association rules, which is a name for implications that are supported by strong evidence, but may still have counterexamples in data.

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課程、專項課程和在線學位均由全世界一流大學和教育機構的頂尖授課教師教授。

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