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Delves into the spatial energy spectrum in turbulence theory, crucial for analyzing energy distribution between spatial scales and its connection to measurable quantities.
Explores Association Rule Mining, emphasizing Frequent Itemsets and Alternative Measures of Interest, including the FP-Growth algorithm and performance comparison.
