Privacy Preserving Data Mining

Privacy Preserving Data Mining pdf epub mobi txt 电子书 下载 2025

出版者:Springer-Verlag New York Inc
作者:Vaidya, Jaideep/ Clifton, Chris/ Zhu, MIchael
出品人:
页数:132
译者:
出版时间:2005-11
价格:$ 190.97
装帧:HRD
isbn号码:9780387258867
丛书系列:
图书标签:
  • 数据挖掘
  • 隐私保护
  • 数据安全
  • 机器学习
  • 人工智能
  • 数据分析
  • 算法
  • 匿名化
  • 差分隐私
  • 联邦学习
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具体描述

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.

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