Description
Book Synopsis: Advances in hardware technology have increased the capability to store and record personal data. This has caused concerns that personal data may be abused. This book proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions of a particular topic in privacy. The book is designed for researchers, professors, and advanced-level students in computer science, but is also suitable for practitioners in industry.
Details
Looking for a cutting-edge solution to protect personal data? Look no further! Introducing "Privacy-Preserving Data Mining: Models and Algorithms" - the ultimate guide to safeguarding your sensitive information. With advances in hardware technology, the risk of data abuse has never been greater. But fear not, this book provides a comprehensive collection of techniques to perform data mining tasks in a privacy-preserving manner, ensuring your data remains safe and secure.
Written by renowned researchers in the privacy field, each survey in this book explores key research content and presents future research directions on various privacy topics. Whether you're a researcher, professor, advanced-level student in computer science, or a practitioner in industry, this book is an essential resource for you to stay ahead of the game. Gain valuable insights into the latest techniques and strategies for protecting personal data.
Don't let your valuable information fall into the wrong hands. Take control of your data security today and grab a copy of "Privacy-Preserving Data Mining: Models and Algorithms". Don't miss out on this opportunity to stay ahead in the ever-evolving world of data privacy. Order now by clicking here!
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