Privacy Preserving Data Mining

✍ Jaideep Vaidya, Yu Michael Zhu, Christopher W. Clifton (auth.) 📂 Library 📅 2006 🏛 Springer US 🌐 English

Data mining has emerged as a significant technology for gaining knowledge from vast quantities of data. However, concerns are growing that use of this technology can violate individual privacy. These concerns have led to a backlash against the technology, for example, a "Data-Mining Moratorium

📁 Privacy Preserving Data Mining

✍ Jaideep Vaidya, Chris Clifton, Michael Zhu 📂 Library 📅 2005 🏛 Springer 🌐 English

Privacy and security concerns restrict the sharing of data. There are both legal and commercial reasons to forbid the release of data. Privacy preserving data mining has come to be seen as a solution to this problem. Privacy preserving data mining implies the "mining" of knowledge from distributed d

Privacy Preserving Data Mining

📁 Privacy Preserving Data Mining

✍ Vladan Devedzic 📂 Library 📅 2005 🏛 Springer 🌐 English

Data mining has emerged as a significant technology for gaining knowledge from vast quantities of data. However, concerns are growing that use of this technology can violate individual privacy. These concerns have led to a backlash against the technology, for example, a "Data-Mining Moratorium Ac

Privacy-Preserving Data Mining: Models

📁 Privacy-Preserving Data Mining: Models and Algorithms

✍ Charu C. Aggarwal, Philip S. Yu (auth.), Charu C. Aggarwal, Philip S. Yu (eds.) 📂 Library 📅 2008 🏛 Springer US 🌐 English

Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals. This has caused concerns that personal data may be used for a variety of intrusive or malicious purposes.Privacy Preserving Data Mining: Models and Al

Privacy-Preserving Data Mining: Models

📁 Privacy-Preserving Data Mining: Models and Algorithms

✍ Charu C. Aggarwal, Philip S. Yu (auth.), Charu C. Aggarwal, Philip S. Yu (eds.) 📂 Library 📅 2008 🏛 Springer US 🌐 English

Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals. This has caused concerns that personal data may be used for a variety of intrusive or malicious purposes.Privacy Preserving Data Mining: Models and Al

Privacy-Preserving Data Mining: Models

📁 Privacy-Preserving Data Mining: Models and Algorithms

✍ Charu C. Aggarwal, Philip S. Yu (auth.), Charu C. Aggarwal, Philip S. Yu (eds.) 📂 Library 📅 2008 🏛 Springer US 🌐 English