Titlebook: Data Privacy Games; Lei Xu,Chunxiao Jiang,Yong Ren Book 2018 Springer International Publishing AG, part of Springer Nature 2018 data minin

Constant

Privacy-Accuracy Trade-Off in Distributed Data Mining,e that, when the differences among users’ expectations are not significant, the proposed learning algorithm can converge to an SE, at which every user achieves a balance between the accuracy of the classifier and the preserved privacy.

整洁

TRAWL

s, i.e. four user roles, involved in data mining applications. For each user role, the authors discuss its privacy concerns and the strategies that it can adopt to solve the privacy problems..The book also prop978-3-030-08586-5978-3-319-77965-2

Licentious

elucidate

BOAST

背心

Communications Standard Dictionaryrating items. We theoretically analyze under what conditions an SE can be learned via the behavior rule. Experimental results demonstrate that, if all users have moderate expectations for recommendation quality and satisfied users are willing to provide more ratings, then all users can get satisfyin

Deference

边缘

The Conflict Between Big Data and Individual Privacy, the fact that data mining may bring serious threat to individual privacy has become a major concern. How to deal with the conflict between big data and individual privacy is an urgent issue. In this chapter, we review the privacy issues related to data mining in a systematic way, and investigate va

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