Privacy Preserving Data Mining
Privacy preserving data mining implies the "mining" of knowledge from distributed data without violating the privacy of the individual/corporations involved in contributing the data. This volume provides a comprehensive overview of available approaches, techniques and open problems in privacy preserving data mining. Crystallizing much of the underlying foundation, the book aims to inspire further research in this new and growing area. Privacy Preserving Data Mining is intended to be accessible to industry practitioners and policy makers, to help inform future decision making and legislation, and to serve as a useful technical reference.
- ISBN 13 : 0387294899
- ISBN 10 : 9780387294896
- Judul : Privacy Preserving Data Mining
- Pengarang : Jaideep Vaidya, Christopher W. Clifton, Yu Michael Zhu,
- Kategori : Computers
- Penerbit : Springer Science & Business Media
- Bahasa : en
- Tahun : 2006
- Halaman : 122
- Halaman : 122
- Google Book : https://play.google.com/store/books/details?id=huYUcjhs4-IC&source=gbs_api
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Ketersediaan :
Privacy Preserving Data Mining is designed for a professional audience composed of practitioners and researchers in industry. This volume is also suitable for graduate-level students in computer science.