masking in data analysis
Masking in data analysis refers to the practice of hiding or obscuring certain parts of the data to protect sensitive information or maintain privacy. This can involve techniques such as anonymization, encryption, or aggregation to ensure that individuals or organizations cannot be identified from the data. Masking helps to balance the need for data privacy and security with the requirements of data analysis and research.
Requires login.
Related Concepts (1)
Similar Concepts
- big data analysis
- data analysis
- data analytics
- data masking
- masking in audio production
- masking in communication
- masking in computer vision
- masking in painting
- masking in photography
- masking in psychology
- masking in security
- masking in signal processing
- masking techniques
- project data analysis
- unmasking