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Data commingling refers to the practice of combining data from different sources, categories, or types into a single dataset. This can occur in various contexts, such as in analytics, data storage, and data management. The aim of data commingling is often to enhance data analysis, improve decision-making, or provide more comprehensive insights. However, data commingling can also raise concerns, particularly regarding data privacy, security, and compliance.

Ancestors (6)

  1. Computer security
  2. Cryptography
  3. Applied mathematics
  4. Fields of mathematics
  5. Mathematics
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