Privacy-Preserving Data Mining
E1125808
UNEXPLORED
Privacy-Preserving Data Mining is a research area and book that focuses on techniques for extracting useful patterns and knowledge from data while rigorously protecting sensitive information and individual privacy.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Privacy-Preserving Data Mining canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T14890544 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Privacy-Preserving Data Mining Context triple: [Charu C. Aggarwal, notableWork, Privacy-Preserving Data Mining]
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A.
Mining of Massive Datasets
"Mining of Massive Datasets" is a widely used textbook that introduces practical and scalable data mining and machine learning techniques for analyzing large-scale datasets.
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B.
IACR Transactions on Privacy-Preserving Technologies
IACR Transactions on Privacy-Preserving Technologies is a peer-reviewed academic journal focusing on research in privacy-enhancing and privacy-preserving cryptographic technologies.
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C.
Master of Science in Information Technology – Privacy Engineering
The Master of Science in Information Technology – Privacy Engineering is a specialized graduate program focused on training professionals to design, build, and manage systems and technologies that rigorously protect privacy and comply with data protection regulations.
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D.
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques is a widely used academic textbook that systematically introduces the principles, algorithms, and practical methods of data mining and knowledge discovery from large datasets.
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E.
ACM Workshop on Privacy in the Electronic Society
The ACM Workshop on Privacy in the Electronic Society is a leading academic forum for research and discussion on privacy, security, and data protection issues in digital and online environments.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Privacy-Preserving Data Mining Target entity description: Privacy-Preserving Data Mining is a research area and book that focuses on techniques for extracting useful patterns and knowledge from data while rigorously protecting sensitive information and individual privacy.
-
A.
Mining of Massive Datasets
"Mining of Massive Datasets" is a widely used textbook that introduces practical and scalable data mining and machine learning techniques for analyzing large-scale datasets.
-
B.
IACR Transactions on Privacy-Preserving Technologies
IACR Transactions on Privacy-Preserving Technologies is a peer-reviewed academic journal focusing on research in privacy-enhancing and privacy-preserving cryptographic technologies.
-
C.
Master of Science in Information Technology – Privacy Engineering
The Master of Science in Information Technology – Privacy Engineering is a specialized graduate program focused on training professionals to design, build, and manage systems and technologies that rigorously protect privacy and comply with data protection regulations.
-
D.
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques is a widely used academic textbook that systematically introduces the principles, algorithms, and practical methods of data mining and knowledge discovery from large datasets.
-
E.
ACM Workshop on Privacy in the Electronic Society
The ACM Workshop on Privacy in the Electronic Society is a leading academic forum for research and discussion on privacy, security, and data protection issues in digital and online environments.
- F. None of above. chosen
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.