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This lecture covers privacy-preserving data management techniques, including operations across private databases, data perturbation, k-Anonymity, and Differential Privacy. It also explores data summarization methods such as Jaccard similarity, Minhashing, and Locality-Sensitive Hashing. The instructor explains how to find similar items in various contexts like stock market trends and document similarity, using practical examples and mathematical formulas.
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