Scalable, chunk-wise K-anonymization tool based on the Optimal Lattice Anonymization (OLA) algorithm. It is designed to handle large datasets by processing them in manageable chunks, ensuring data privacy while maintaining utility.
encoding chunking ola large-dataset massive-datasets k-anonymity l-diversity t-closeness skald discernibility record-suppression predictive-tagging
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Updated
Jun 3, 2025 - Python